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  </channel><item rdf:about="https://www.grubstreetproject.net/">
    <title>Topographies of Literature &amp; Culture in Eighteenth-Century London :: Grub Street Project</title>
    <dc:date>2026-05-28T13:51:07+00:00</dc:date>
    <link>https://www.grubstreetproject.net/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[The Grub Street Project is a digital edition of eighteenth-century London. By mapping its print culture, literature, and trades, it aims to create both a historically accurate visualization of the city's commerce and communications, and a record of how its authors and artists portrayed it.]]></description>
<dc:subject>printing history data visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:458a548aab43/</dc:identifier>
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<item rdf:about="https://github.com/sparna-git/skos-play">
    <title>sparna-git/skos-play: SKOS-Play allows to print SKOS files in HTML or PDF. It also embeds xls2rdf to generate RDF from Excel.</title>
    <dc:date>2025-02-12T19:20:50+00:00</dc:date>
    <link>https://github.com/sparna-git/skos-play</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[With SKOS Play you can :

Print / visualize thesaurus
Convert Excel tables to SKOS
Validate SKOS files]]></description>
<dc:subject>skos visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:50510a273119/</dc:identifier>
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<item rdf:about="https://github.com/LingDong-/rrpl">
    <title>LingDong-/rrpl: Describing Chinese Characters with Recursive Radical Packing Language (RRPL)</title>
    <dc:date>2025-01-04T02:42:50+00:00</dc:date>
    <link>https://github.com/LingDong-/rrpl</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Recursive Radical Packing Language (RRPL) is a proposal for a method of describing arbitrary Chinese characters concisely while retaining their structural information. Potential fields for usage include font design and machine learning. In RRPL, each Chinese character is described as a short string of numbers, symbols, and references to other characters. Its syntax is inspired by markup languages such as LaTeX, as well as the traditional "米" grids used for calligraphy practice.

]]></description>
<dc:subject>fonts typography visualization language systems</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:adce13655775/</dc:identifier>
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<item rdf:about="https://chinese-radical-vis.glitch.me/">
    <title>chinese-radical-vis</title>
    <dc:date>2025-01-04T02:40:01+00:00</dc:date>
    <link>https://chinese-radical-vis.glitch.me/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Visualizations & animations of Chinese ideograms and radicals.]]></description>
<dc:subject>visualization fonts</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:d7195f1b729c/</dc:identifier>
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<item rdf:about="https://doc.semspect.de/">
    <title>Documentation | SemSpect</title>
    <dc:date>2024-06-21T21:09:35+00:00</dc:date>
    <link>https://doc.semspect.de/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[SemSpect is a scalable data-guided no-code tool for visual exploration and querying of knowledge graphs.]]></description>
<dc:subject>knowledge graph rdf visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:eacf091466eb/</dc:identifier>
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<item rdf:about="https://wikiframe.library.unlv.edu/">
    <title>WikiframeVG - Wikidata Discovery Tool</title>
    <dc:date>2024-03-25T15:57:24+00:00</dc:date>
    <link>https://wikiframe.library.unlv.edu/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Welcome to wikiframeVG (Wikiframe Visual Graph), an open-source community initiative and tool aimed to help Wikidata editors and users explore knowledge generated from organized Wikidata sprints. wikiframeVG adopts a community driven, SPARQL template-based approach toward Wikidata graph exploration.

The application interacts with Wikidata's SPARQL query service and provides users with point-and-click tools to search and filter information. No SPARQL or other coding knowledge will be required to retrieve data linked across the Wikidata knowledge graph.]]></description>
<dc:subject>wikidata libraries visualization inls620</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:63fc7a879538/</dc:identifier>
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<item rdf:about="https://github.com/de-tu-dresden-inf-lat/evee">
    <title>de-tu-dresden-inf-lat/evee: Library and Protégé plugin for generating Description Logic explanations</title>
    <dc:date>2024-01-24T17:13:38+00:00</dc:date>
    <link>https://github.com/de-tu-dresden-inf-lat/evee</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Evee, a tool collection for explaining very expressive DL entailments and missing entailments.]]></description>
<dc:subject>semweb logic reasoning ui interface visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:0c938a0791ac/</dc:identifier>
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<item rdf:about="https://pythontutor.com/python-compiler.html">
    <title>Python compiler - visualize, debug, get AI help from ChatGPT</title>
    <dc:date>2024-01-11T19:52:11+00:00</dc:date>
    <link>https://pythontutor.com/python-compiler.html</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Online Python compiler, visual debugger, and AI tutor - the only tool that lets you visually debug your code step-by-step]]></description>
<dc:subject>python visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:93ec5930ed2f/</dc:identifier>
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<item rdf:about="https://gistbok.ucgis.org/bok-topics/spatiotemporal-representation">
    <title>CV-17 - Spatiotemporal Representation | GIS&amp;T Body of Knowledge</title>
    <dc:date>2023-11-14T22:33:29+00:00</dc:date>
    <link>https://gistbok.ucgis.org/bok-topics/spatiotemporal-representation</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Space and time are integral components of geographic information. There are many ways in which to conceptualize space and time in the geographic realm that stem from time geography research in the 1960s. Cartographers and geovisualization experts alike have grappled with how to represent spatiotemporal data visually. Four broad types of mapping techniques allow for a variety of representations of spatiotemporal data: (1) single static maps, (2) multiple static maps, (3) single dynamic maps, and (4) multiple dynamic maps. The advantages and limitations of these static and dynamic methods are discussed in this entry. For cartographers, identifying the audience and purpose, medium, available data, and available time to design the map are vital aspects to deciding between the different spatiotemporal mapping techniques. However, each of these different mapping techniques offers its own advantages and disadvantages to the cartographer and the map reader. This entry focuses on the mapping of time and spatiotemporal data, the types of time, current methods of mapping, and the advantages and limitations of representing spatiotemporal data.

]]></description>
<dc:subject>spatial temporal representation visualization GIS</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:2272a131de56/</dc:identifier>
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<item rdf:about="https://github.com/aws/graph-explorer">
    <title>aws/graph-explorer: React-based web application that enables users to visualize both property graph and RDF data and explore connections between data without having to write graph queries.</title>
    <dc:date>2023-03-04T22:10:45+00:00</dc:date>
    <link>https://github.com/aws/graph-explorer</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[The Graph Explorer project provides a React-based web application that enables users to visualize both property graph and RDF data and explore connections between data without having to write graph queries. You can connect to a graph database that supports either the W3C RDF/SPARQL open standard or the open source Apache TinkerPop Gremlin Server.]]></description>
<dc:subject>inls620 visualization sparql rdf</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:f2f21991f7d8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:inls620"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:sparql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:rdf"/>
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</item>
<item rdf:about="https://dancoecarto.com/creating-rems-in-qgis-the-idw-method?ref=Beautiful+Public+Data-newsletter">
    <title>Dan Coe Carto - Creating REMs in QGIS with the IDW Method</title>
    <dc:date>2022-11-09T15:29:33+00:00</dc:date>
    <link>https://dancoecarto.com/creating-rems-in-qgis-the-idw-method?ref=Beautiful+Public+Data-newsletter</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[In this tutorial you will convert a digital elevation model (DEM) along a river of your choice into a relative elevation model (REM) in QGIS using a series of steps that include the Inverse Distance Weighted (IDW) interpolation method.
]]></description>
<dc:subject>ncgazetteer GIS visualization howto</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:1152959d2347/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:ncgazetteer"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:GIS"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:howto"/>
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</item>
<item rdf:about="https://github.com/klarrieu/RiverREM?ref=Beautiful+Public+Data-newsletter">
    <title>klarrieu/RiverREM at Beautiful Public Data-newsletter</title>
    <dc:date>2022-11-09T15:28:23+00:00</dc:date>
    <link>https://github.com/klarrieu/RiverREM?ref=Beautiful+Public+Data-newsletter</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[RiverREM is a Python package for automatically generating river relative elevation model (REM) visualizations from nothing but an input digital elevation model (DEM). The package uses the OpenStreetMap API to retrieve river centerline geometries over the DEM extent. Interpolation of river elevations is automatically handled using a sampling scheme based on raster resolution and river sinuosity to create striking high-resolution visualizations without interpolation artefacts straight out of the box and without additional manual steps.]]></description>
<dc:subject>ncgazetteer python visualization GIS</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:cc3790a69a56/</dc:identifier>
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<item rdf:about="https://atlas-disciplines.unige.ch/">
    <title>Interactive Historical Atlas of the Disciplines — University of Geneva</title>
    <dc:date>2022-09-14T14:53:49+00:00</dc:date>
    <link>https://atlas-disciplines.unige.ch/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[A database of 255 "classifications of the sciences" or "knowledge maps"
from Antiquity to our time, charting 18393 disciplinary territories.]]></description>
<dc:subject>KO history taxonomy classification visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:74744d8bd8bf/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:KO"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:taxonomy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:classification"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://visionscarto.net/i-was-there">
    <title>I was there - Anne Kelly Knowles and Levi Westerveld - Visionscarto</title>
    <dc:date>2022-05-03T16:22:38+00:00</dc:date>
    <link>https://visionscarto.net/i-was-there</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[By apprehending the topological relations of places and displacements, and by graphically materializing the subjective and emotional dimension of lived experience, it is possible to draw the geography of these memories.]]></description>
<dc:subject>spatial temporal narrative GIS visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:5904f993bc5b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:spatial"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:temporal"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:narrative"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:GIS"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://query.wikidata.org/#%23defaultView%3ATreeMap%0Aselect%20%3Flemma%20%3FlanguageLabel%20%7B%0A%20%20%3Fsense%20wdt%3AP5137%20wd%3AQ634%20.%0A%20%20%3Flexeme%20ontolex%3Asense%20%3Fsense%20.%0A%20%20%3Flexeme%20dct%3Alanguage%20%3Flanguage%20.%0A%20%20%3Flexeme%20wikibase%3Alemma%20%3Flemma%20.%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%0A%7D">
    <title>Wikidata Query Service: words for &quot;planet&quot;</title>
    <dc:date>2022-04-14T17:15:35+00:00</dc:date>
    <link>https://query.wikidata.org/#%23defaultView%3ATreeMap%0Aselect%20%3Flemma%20%3FlanguageLabel%20%7B%0A%20%20%3Fsense%20wdt%3AP5137%20wd%3AQ634%20.%0A%20%20%3Flexeme%20ontolex%3Asense%20%3Fsense%20.%0A%20%20%3Flexeme%20dct%3Alanguage%20%3Flanguage%20.%0A%20%20%3Flexeme%20wikibase%3Alemma%20%3Flemma%20.%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%0A%7D</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Tree map of languages that share a word for "planet".]]></description>
<dc:subject>wikidata sparql language infoviz visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:e517b2e3f175/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:wikidata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:sparql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:infoviz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/ryanjgallagher/shifterator">
    <title>ryanjgallagher/shifterator: Interpretable data visualizations for understanding how texts differ at the word level</title>
    <dc:date>2020-08-22T22:29:37+00:00</dc:date>
    <link>https://github.com/ryanjgallagher/shifterator</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[The Shifterator package provides functionality for constructing word shift graphs, vertical bart charts that quantify which words contribute to a pairwise difference between two texts and how they contribute. By allowing you to look at changes in how words are used, word shifts help you to conduct analyses of sentiment, entropy, and divergence that are fundamentally more interpretable.]]></description>
<dc:subject>nlp python text visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:7f52d198099a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:text"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://seealso.org/">
    <title>See, also: Featured visualizations of Wikipedia</title>
    <dc:date>2019-05-03T12:28:16+00:00</dc:date>
    <link>http://seealso.org/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[A collection of our favorite visualizations built on Wikipedia data, curated by Hatnote.]]></description>
<dc:subject>infoviz wikipedia wikidata visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:ed65fec20099/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:infoviz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:wikipedia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:wikidata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://variancecharts.com/">
    <title>Variance Charts</title>
    <dc:date>2018-10-21T20:21:30+00:00</dc:date>
    <link>http://variancecharts.com/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Variance empowers engineers, designers, journalists, scientists, and analysts to build elegant bespoke data graphics for the web, using only HTML & CSS. Our intuitive, markup-based grammar emphasizes clear, practical graphics and serves as the foundation for a wide range of visualizations.]]></description>
<dc:subject>css charts data visualization infoviz</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:6af69c231abb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:css"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:charts"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:infoviz"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://graphics.cs.wisc.edu/Vis/EmbVis/">
    <title>Interactive Analysis of Word Vector Embeddings</title>
    <dc:date>2018-08-03T04:06:27+00:00</dc:date>
    <link>http://graphics.cs.wisc.edu/Vis/EmbVis/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Word vector embeddings are an emerging tool for natural language processing. They have proven beneficial for a wide variety of language processing tasks. Their utility stems from the ability to encode word relationships within the vector space. Applications range from components in natural language processing systems to tools for linguistic analysis in the study of language and literature. In many of these applications, interpreting embeddings and understanding the encoded grammatical and semantic relations between words is useful, but challenging. Visualization can aid in such interpretation of embeddings. In this paper, we examine the role for visualization in working with word vector embeddings. We provide a literature survey to catalogue the range of tasks where the embeddings are employed across a broad range of applications. Based on this survey, we identify key tasks and their characteristics. Then, we present visual interactive designs that address many of these tasks. The designs integrate into an exploration and analysis environment for embeddings. Finally, we provide example use cases for them and discuss domain user feedback.]]></description>
<dc:subject>textanalysis infoviz visualization vectorspace</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:8330dd841ea0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:textanalysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:infoviz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:vectorspace"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://stardustjs.github.io/">
    <title>Stardust: GPU-based Visualization Library</title>
    <dc:date>2018-01-24T00:54:07+00:00</dc:date>
    <link>https://stardustjs.github.io/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Stardust is a library for rendering information visualizations with GPU (WebGL). Stardust provides an easy-to-use and familiar API for defining marks and binding data to them. With Stardust, you can render tens of thousands of markers and animate them in real time without the hassle of managing WebGL shaders and buffers.]]></description>
<dc:subject>javascript visualization graphics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:5f6e278b33f3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:graphics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://people.csail.mit.edu/axz/papers/wikum.pdf">
    <title>Wikum: Bridging Discussion Forums and Wikis Using Recursive Summarization</title>
    <dc:date>2017-03-29T20:53:48+00:00</dc:date>
    <link>http://people.csail.mit.edu/axz/papers/wikum.pdf</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Large-scale discussions between many participants abound on the internet today, on topics ranging from political argu- ments to group coordination. But as these discussions grow to tens of thousands of posts, they become ever more difficult for a reader to digest. In this article, we describe a workflow called recursive summarization, implemented in our Wikum prototype, that enables a large population of readers or edi- tors to work in small doses to refine out the main points of the discussion. More than just a single summary, our work- flow produces a summary tree that enables a reader to explore distinct subtopics at multiple levels of detail based on their in- terests. We describe lab evaluations showing that (i) Wikum can be used more effectively than a control to quickly con- struct a summary tree and (ii) the summary tree is more ef- fective than the original discussion in helping readers identify and explore the main topics.
]]></description>
<dc:subject>wiki summarization visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:0286931b1483/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:wiki"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:summarization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://timelinesrevisited.github.io/">
    <title>Timelines Revisited</title>
    <dc:date>2017-03-16T17:35:35+00:00</dc:date>
    <link>https://timelinesrevisited.github.io/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[There are many ways to visualize event sequences as timelines. In a storytelling context where the intent is to convey multiple narrative points, a richer set of timeline designs may be more appropriate than the narrow range that has been used for exploratory data analysis by the research community. Informed by a survey of 263 timelines, we present a design space for storytelling with timelines that balances expressiveness and effectiveness, identifying 14 design choices characterized by three dimensions: representation, scale, and layout. Twenty combinations of these choices are viable timeline designs that can be matched to different narrative points, while smooth animated transitions between narrative points allow for the presentation of a cohesive story, an important aspect of both interactive storytelling and data videos. We further validate this design space by realizing the full set of viable timeline designs and transitions in a proof-of-concept sandbox implementation that we used to produce seven example timeline stories. Ultimately, this work is intended to inform and inspire the design of future tools for storytelling with timelines.]]></description>
<dc:subject>timeline visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:996dc03153e2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:timeline"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.kanarinka.com/wp-content/uploads/2015/07/IEEE_Feminist_Data_Visualization.pdf">
    <title>Feminist Data Visualization</title>
    <dc:date>2017-01-26T17:53:12+00:00</dc:date>
    <link>http://www.kanarinka.com/wp-content/uploads/2015/07/IEEE_Feminist_Data_Visualization.pdf</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[In this paper, we begin to outline how feminist theory may be productively applied to information visualization research and practice. Other technology- and design-oriented fields such as Science and Technology Studies, Human-Computer Interaction, Digital Humanities, and Geography/GIS have begun to incorporate feminist principles into their research. Feminism is not (just) about women, but rather draws our attention to questions of epistemology – who is included in dominant ways of producing and communicating knowledge and whose perspectives are marginalized. We describe potential applications of feminist theory to influence the information design process as well as to shape the outputs from that process.]]></description>
<dc:subject>visualization feminism sts categories inls520</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:e5c1493a0000/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:feminism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:sts"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:categories"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:inls520"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.tensorflow.org/versions/master/how_tos/embedding_viz/index.html">
    <title>TensorBoard: Embedding Visualization</title>
    <dc:date>2016-12-07T13:26:40+00:00</dc:date>
    <link>https://www.tensorflow.org/versions/master/how_tos/embedding_viz/index.html</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[TensorBoard has a built-in visualizer, called the Embedding Projector, for interactive visualization and analysis of high-dimensional data like embeddings. It is meant to be useful for developers and researchers alike. It reads from the checkpoint files where you save your tensorflow variables. Although it's most useful for embeddings, it will load any 2D tensor, potentially including your training weights.]]></description>
<dc:subject>deeplearning visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:7201e6a3088a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:deeplearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/vega/vega">
    <title>vega/vega: A visualization grammar.</title>
    <dc:date>2016-04-27T17:56:45+00:00</dc:date>
    <link>https://github.com/vega/vega</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Vega is a visualization grammar, a declarative format for creating and saving interactive visualization designs. With Vega you can describe data visualizations in a JSON format, and generate interactive views using either HTML5 Canvas or SVG.]]></description>
<dc:subject>javascript infoviz visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:cd1b3f869bef/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:infoviz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://pythontutor.com/">
    <title>Python Tutor - Visualize Python, Java, JavaScript, TypeScript, Ruby, C, and C++ code execution</title>
    <dc:date>2016-03-21T02:50:18+00:00</dc:date>
    <link>http://pythontutor.com/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Python Tutor, created by Philip Guo, helps people overcome a fundamental barrier to learning programming: understanding what happens as the computer executes each line of a program's source code.

Using this tool, you can write Python, Java, JavaScript, TypeScript, Ruby, C, and C++ programs in your Web browser and visualize what the computer is doing step-by-step as it executes those programs.]]></description>
<dc:subject>python tools learning programming visualization teaching</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:9290d29889b7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:tools"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:teaching"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.google.com/insidesearch/howsearchworks/thestory/">
    <title>How Search Works - The Story – Inside Search – Google</title>
    <dc:date>2015-12-09T15:43:12+00:00</dc:date>
    <link>http://www.google.com/insidesearch/howsearchworks/thestory/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[A silent interactive Javascript cartoon Google released depicting its search algorithm in 2013, entitled “How Search Works: From Algorithms to Answers” (an excerpt is in Figure 8). The cartoon’s general structure is adapted from a 2010 Google video, also entitled How Search Works, which built upon the previously popularized algorithm “PageRank.” In the 2013 cartoon, algorithms are defined as “programs and formulas to deliver the best results possible.” The cartoon depicts the search algorithm as a vertical assembly line. At the top of the frame, the crawler algorithm’s progress across the Web is represented by a moving yellow line, which bounces from document to document toward the bottom of the page. It eventually stops at a massive blue filing cabinet identified as “the index,” containing drawers filled with cat videos and physics papers. In the next scene, the user’s action of typing a keyword – or perhaps an unspecified action, this is not clear – is embodied by the yellow line, which wraps around six circular algorithms that “get to work” on the query. They smash it with a small press, sparkle near it, and rotate through sequences of shapes separated by the “equal” or “not equal” symbol, suggesting both mathematical formulae and slot machines. http://median.newmediacaucus.org/art-infrastructures-information/seeing-the-sort-the-aesthetic-and-industrial-defense-of-the-algorithm/]]></description>
<dc:subject>google search algorithms visualization marketing datastudies inls201 teaching</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:c6ab603d6753/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:search"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:marketing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:datastudies"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:inls201"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:teaching"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://median.newmediacaucus.org/art-infrastructures-information/seeing-the-sort-the-aesthetic-and-industrial-defense-of-the-algorithm/">
    <title>Seeing the Sort: The Aesthetic and Industrial Defense of “The Algorithm” | NMC Media-N</title>
    <dc:date>2015-12-09T15:39:38+00:00</dc:date>
    <link>http://median.newmediacaucus.org/art-infrastructures-information/seeing-the-sort-the-aesthetic-and-industrial-defense-of-the-algorithm/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[In this essay I argue that an important recent development in the struggle to represent algorithms is that computer algorithms now have their own public relations. That is, they have both a public-facing identity and new promotional discourses that depict them as efficient, valuable, powerful, and objective. It is vital that we understand how the algorithms that dominate our experience operate upon us. Yet commercial companies -a recent phenomenon- now systematically manage our image of algorithms and the information we receive about them. Algorithms themselves, rather than just the companies that operate them, have become the subject of mass marketing claims. To make this clear, I analyze a variety of visual and multimedia depictions of algorithms. I begin by reviewing a variety of historical and contemporary attempts to represent algorithms for novices in educational settings, and then I compare these to recent commercial depictions. I will conclude with a critique of current trends and a call for a counter-visuality that can resist them.]]></description>
<dc:subject>algorithms visualization datastudies inls201</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:064a34c920c1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:datastudies"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:inls201"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://culanth.org/fieldsights/723-temporality">
    <title>Temporality — Cultural Anthropology</title>
    <dc:date>2015-10-18T02:23:05+00:00</dc:date>
    <link>http://culanth.org/fieldsights/723-temporality</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Given that infrastructure is variable just like ontology (see Latour 1993), it would be good to have new sets of tools to explore its historicity. One intriguing idea—I cannot track down the original reference—is to index terms by superscripting them with dates. So, if I use the term mass in my writing, then I might write mass1905 to indicate that one author was using the Einsteinian concept of mass, while I could use mass1687 to indicate that a different author was still working from a Newtonian ontology. This is not a very useful practice within the traditional forms of knowledge expression; there are so many dates for so many ontological and infrastructural variations that no one reader would be able to keep them all in her head. However, a visualization tool that would show, for an infrastructure, what its shape and nature was at that moment would be invaluable. As you click, you get an infrastructural landscape that displays an infrastructure along with its associated ontologies.]]></description>
<dc:subject>history infrastructure temporality periodo visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:d6fe0b8324d1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:infrastructure"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:temporality"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:periodo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://turfjs.org/">
    <title>Turf.js</title>
    <dc:date>2015-09-08T21:35:28+00:00</dc:date>
    <link>http://turfjs.org/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Simple: Modular, simple-to-understand JavaScript functions that speak GeoJSON
Fast: Takes advantage of the newest algorithms and doesn't require you to send data to a server
Modular: Turf is a collection of small modules. You can require just what you use with browserify]]></description>
<dc:subject>javascript gis geo mapping visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:857128bc1cc5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:gis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:geo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:mapping"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.nature.com/developers/hacks/">
    <title>nature.com/developers/hacks/..</title>
    <dc:date>2015-09-02T17:55:55+00:00</dc:date>
    <link>http://www.nature.com/developers/hacks/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[This site hosts a number of experimental tools and visualizations of the content available on nature.com.]]></description>
<dc:subject>taxonomy ontology kos visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:d0beee07e74b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:taxonomy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:ontology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:kos"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/sebastian-meier/d3.sketchy">
    <title>sebastian-meier/d3.sketchy</title>
    <dc:date>2015-07-29T12:49:22+00:00</dc:date>
    <link>https://github.com/sebastian-meier/d3.sketchy</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[A tool to create sketchy backgrounds, shapes and lines]]></description>
<dc:subject>visualization editorsnotes</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:87b489f49302/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:editorsnotes"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://infovis.fh-potsdam.de/ddb/">
    <title>Deutsche Digitale Bibliothek visualisiert</title>
    <dc:date>2015-07-14T23:29:12+00:00</dc:date>
    <link>http://infovis.fh-potsdam.de/ddb/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[The German Digital Library makes a variety of objects of the digital cultural heritage of Germany's cultural and research institutions accessible. This project attempts to make the size of this portfolio visible and tangible by means of interactive visualizations. The resulting views are experimental reports on the rough temporal and spatial distribution of objects and their associated topics, people and organizations.]]></description>
<dc:subject>library search interface visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:2ae8072ede3c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:library"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:search"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:interface"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://mariandoerk.de/fluidviews/">
    <title>Marian Dörk – Fluid Views</title>
    <dc:date>2015-07-14T23:28:01+00:00</dc:date>
    <link>http://mariandoerk.de/fluidviews/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Fluid Views is a web-based search environment designed to bridge overview and detail by integrating dynamic queries, semantic zooming, and dual layers. The most common form of search results is long ranked and paginated lists, which are seldom examined beyond the top ten items. To support more exploratory forms of information seeking, we bring together the notion of relevance with the power of visual encoding. In Fluid Views, results portray relevance via size and detail in a dynamic top layer and semantic similarity via position on a base map. We designed Fluid Views with temporal, spatial, and content-defined base maps for both textual and visual resources, and tested our prototype system on books, blogs, and photos.]]></description>
<dc:subject>search interface visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:c3fb62b73d51/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:search"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:interface"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/bmabey/pyLDAvis/blob/master/README.rst">
    <title>pyLDAvis/README.rst at master · bmabey/pyLDAvis</title>
    <dc:date>2015-06-08T13:28:16+00:00</dc:date>
    <link>https://github.com/bmabey/pyLDAvis/blob/master/README.rst</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[pyLDAvis is designed to help users interpret the topics in a topic model that has been fit to a corpus of text data. The package extracts information from a fitted LDA topic model to inform an interactive web-based visualization.

The visualization is intended to be used within an IPython notebook but can also be saved to a stand-alone HTML file for easy sharing.]]></description>
<dc:subject>lda visualization python topicmodels</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:98f0e6bdeaf5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:lda"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:topicmodels"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://miriamposner.com/blog/a-fun-way-to-introduce-dh-students-to-dataviz/">
    <title>A fun way to introduce DH students to dataviz | Miriam Posner's Blog</title>
    <dc:date>2015-04-23T23:29:24+00:00</dc:date>
    <link>http://miriamposner.com/blog/a-fun-way-to-introduce-dh-students-to-dataviz/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[As a teacher, I’ve always operated on the assumption that students are primarily interested in each other. Here’s a fun activity that takes advantage of that interest to teach students a little about data visualization. It’s an extremely unscientific Cosmo-style quiz, designed to show students which interests they have in common with each other. It’s just an introductory lesson, but it gives you a fun dataset to play with. You’ll probably want to split this among a few class sessions, since students will need at least one full class to just get familiar with Gephi.]]></description>
<dc:subject>visualization graphs inls201</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:c59f747cb5dc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:graphs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:inls201"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://cran.r-project.org/web/packages/LDAvis/">
    <title>CRAN - Package LDAvis</title>
    <dc:date>2015-01-28T14:37:19+00:00</dc:date>
    <link>http://cran.r-project.org/web/packages/LDAvis/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Tools to create an interactive web-based visualization of a topic model that has been fit to a corpus of text data using Latent Dirichlet Allocation (LDA). Given the estimated parameters of the topic model, it computes various summary statistics as input to an interactive visualization built with D3.js that is accessed via a browser. The goal is to help users interpret the topics in their LDA topic model.]]></description>
<dc:subject>R topicmodels visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:a0586222ff25/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:R"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:topicmodels"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://setosa.io/ev/markov-chains/">
    <title>Markov Chains explained visually</title>
    <dc:date>2015-01-28T14:36:55+00:00</dc:date>
    <link>http://setosa.io/ev/markov-chains/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Markov chains, named after Andrey Markov, are mathematical systems that hop from one "state" (a situation or set of values) to another. For example, if you made a Markov chain model of a baby's behavior, you might include "playing," "eating", "sleeping," and "crying" as states, which together with other behaviors could form a 'state space': a list of all possible states. In addition, on top of the state space, a Markov chain tells you the probabilitiy of hopping, or "transitioning," from one state to any other state---e.g., the chance that a baby currently playing will fall asleep in the next five minutes without crying first.]]></description>
<dc:subject>math visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:9bf745c45ace/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:math"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://setosa.io/ev/eigenvectors-and-eigenvalues/">
    <title>Eigenvectors and eigenvalues explained visually</title>
    <dc:date>2015-01-28T14:35:25+00:00</dc:date>
    <link>http://setosa.io/ev/eigenvectors-and-eigenvalues/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Eigenvalues/vectors are instrumental to understanding electrical circuits, mechanical systems, ecology and even Google's PageRank algorithm. Let's see if visualization can make these ideas more intuitive.]]></description>
<dc:subject>math visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:eeb211b09a29/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:math"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.crcpress.com/product/isbn/9781466508910">
    <title>Visualization Analysis and Design - CRC Press Book</title>
    <dc:date>2014-12-30T18:49:52+00:00</dc:date>
    <link>http://www.crcpress.com/product/isbn/9781466508910</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Visualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration. It emphasizes the careful validation of effectiveness and the consideration of function before form.

The book breaks down visualization design according to three questions: what data users need to see, why users need to carry out their tasks, and how the visual representations proposed can be constructed and manipulated. It walks readers through the use of space and color to visually encode data in a view, the trade-offs between changing a single view and using multiple linked views, and the ways to reduce the amount of data shown in each view. The book concludes with six case studies analyzed in detail with the full framework.]]></description>
<dc:subject>infoviz visualization textbook</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:e43aac64b8ff/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:infoviz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:textbook"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://visual.ly/daylight-saving-time-explained">
    <title>Daylight saving time explained | Visual.ly</title>
    <dc:date>2014-12-20T22:26:07+00:00</dc:date>
    <link>http://visual.ly/daylight-saving-time-explained</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[I wanted to see the effect of daylight saving time change on sunrise and sunset times. The data was taken from http://www.timeanddate.com and is for Chicago. The figure shows that daylight saving timechange (marked by the DLS lines) keeps the sunrise time pretty much constant throughout the whole year, while making the sunset time change a lot. The spread of sunrise times for the whole year as measured by the standard deviation is 42 minutes, while for sunset times is 1:30 hours. ]]></description>
<dc:subject>time visualization standards inls520 inls201</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:4710359d0e32/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:time"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:standards"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:inls520"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:inls201"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://js.cytoscape.org/">
    <title>Cytoscape.js</title>
    <dc:date>2014-11-20T17:14:53+00:00</dc:date>
    <link>http://js.cytoscape.org/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Graph theory (a.k.a. network) library for analysis and visualisation (compatible with CommonJS/Node.js, AMD/Require.js, jQuery, Bower, npm, and plain JavaScript)]]></description>
<dc:subject>javascript graph visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:6cfc3dc15dc7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:graph"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bottlecaps.de/convert/">
    <title>Grammar Conversion</title>
    <dc:date>2014-10-21T15:39:43+00:00</dc:date>
    <link>http://bottlecaps.de/convert/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Paste grammar into textarea and click button for converting to W3C grammar notation. These grammar notations are supported: ABNF, ANTLR 3, Bison, GOLD, JavaCC, Jison, PEG.js.]]></description>
<dc:subject>syntax documentation visualization parsing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:e5a4d10ad0ee/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:syntax"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:documentation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:parsing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/uwdata/termite-visualizations">
    <title>uwdata/termite-visualizations</title>
    <dc:date>2014-09-24T14:27:31+00:00</dc:date>
    <link>https://github.com/uwdata/termite-visualizations</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Termite is a visual analysis tool for inspecting the output of statistical topic models.

The tool contains two components:

Termite Data Server for processing the output of topic models and distributing the content as a web service
Termite Visualizations for visualizing topic model outputs in a web browser
This repository contains the web-based visualizations, which include:

a web server for distributing the visualizations
various interactive visualizations]]></description>
<dc:subject>topicmodels visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:8759611e5bf6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:topicmodels"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/uwdata/termite-data-server">
    <title>uwdata/termite-data-server</title>
    <dc:date>2014-09-24T14:27:06+00:00</dc:date>
    <link>https://github.com/uwdata/termite-data-server</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Termite is a visual analysis tool for exploring the output of statistical topic models.

This repository contains:

a web server based on the web2py framework
helper scripts to download various datasets
helper scripts to download and setup various topic modeling tools
helper scripts to build topic models
helper scripts to import topic model outputs into the server]]></description>
<dc:subject>topicmodels visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:b9a7193d6bd7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:topicmodels"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/jeffbinder/networkedcorpus">
    <title>jeffbinder/networkedcorpus</title>
    <dc:date>2014-09-24T14:24:52+00:00</dc:date>
    <link>https://github.com/jeffbinder/networkedcorpus</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[The Networked Corpus provides a way of navigating a collection of texts using a topic model. It consists of a Python script that takes in a directory full of plain text files and a topic model computed using MALLET, and generates a collection of HTML files that you can use in your browser.]]></description>
<dc:subject>topicmodels visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:6e17b359bfef/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:topicmodels"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/jasondavies/d3-cloud">
    <title>jasondavies/d3-cloud</title>
    <dc:date>2014-09-24T14:21:47+00:00</dc:date>
    <link>https://github.com/jasondavies/d3-cloud</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[This is a Wordle-inspired word cloud layout written in JavaScript. It uses HTML5 canvas and sprite masks to achieve near-interactive speeds.]]></description>
<dc:subject>topicmodels visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:336f8fb18086/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:topicmodels"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://dhs.stanford.edu/algorithmic-literacy/using-word-clouds-for-topic-modeling-results/">
    <title>Using Word Clouds for Topic Modeling Results | Digital Humanities Specialist</title>
    <dc:date>2014-09-24T14:21:06+00:00</dc:date>
    <link>https://dhs.stanford.edu/algorithmic-literacy/using-word-clouds-for-topic-modeling-results/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[A topic cloud represents not only the words that make up a topic, but the ratio of those words, and can include just the top 20, or the top 100, or all of them if you have the real estate.]]></description>
<dc:subject>visualization topicmodels</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:25c77ea36ba1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:topicmodels"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/emeeks/d3-carto-map">
    <title>emeeks/d3-carto-map</title>
    <dc:date>2014-09-21T15:20:20+00:00</dc:date>
    <link>https://github.com/emeeks/d3-carto-map</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[d3.carto is a library for creating layer-based maps using D3. It allows you to easily make tile and vector maps that take advantage of D3's amazing geospatial functionality.]]></description>
<dc:subject>mapping d3 javascript visualization cartography</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:e7b79edf7cbc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:mapping"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:d3"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:cartography"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bl.ocks.org/mbostock/e2a20d86124693ef0f93">
    <title>Pencil Sketch</title>
    <dc:date>2014-09-21T15:18:57+00:00</dc:date>
    <link>http://bl.ocks.org/mbostock/e2a20d86124693ef0f93</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[This stylized globe uses D3’s in-development geometry pipeline to jitter points before rendering. Points are sampled along great arcs, jittered, and then smoothed using basis-spline interpolation to achieve a hand-drawn effect. The resulting spherical geometry is computed once, allowing faster rendering with arbitrary rotation!]]></description>
<dc:subject>maps notetaking visualization editorsnotes</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:bfdf805e899f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:maps"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:notetaking"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:editorsnotes"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://brenocon.com/te/">
    <title>MiTextExplorer: Mutual information text analysis</title>
    <dc:date>2014-06-27T22:23:39+00:00</dc:date>
    <link>http://brenocon.com/te/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[The Mutual information Text Explorer is a tool that allows interactive exploration of text data and document covariates.]]></description>
<dc:subject>nlp text infoviz visualization tools</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:b698c23116eb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:text"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:infoviz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:tools"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/jiahuang/d3-timeline">
    <title>jiahuang/d3-timeline</title>
    <dc:date>2014-05-23T17:17:10+00:00</dc:date>
    <link>https://github.com/jiahuang/d3-timeline</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[A simple d3 timeline plugin.

]]></description>
<dc:subject>d3 timeline javascript infoviz visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:1d6680106699/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:d3"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:timeline"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:infoviz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://colorbrewer2.org/">
    <title>ColorBrewer: Color Advice for Maps</title>
    <dc:date>2014-05-02T02:03:56+00:00</dc:date>
    <link>http://colorbrewer2.org/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[This map does not depict actual data. Instead, it has been carefully designed to be a diagnostic tool for evaluating the robustness of individual color schemes.]]></description>
<dc:subject>color visualization design</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:8d8ef7630f69/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:color"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:design"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://gforge.inria.fr/projects/cendari-vre/">
    <title>INRIAGForge: EditorsNotes: Cendari: Project Home</title>
    <dc:date>2014-04-18T17:43:14+00:00</dc:date>
    <link>https://gforge.inria.fr/projects/cendari-vre/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[CENDARI (Virtual Research Environment for historians based on note taking) project source code repos.]]></description>
<dc:subject>history research editorsnotes archives visualization semweb digitalhumanities libraries hci</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:2e6dadb85e9a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:editorsnotes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:archives"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:semweb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:digitalhumanities"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:libraries"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:hci"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.aviz.fr/Research/CENDARI">
    <title>CENDARI</title>
    <dc:date>2014-04-18T17:42:13+00:00</dc:date>
    <link>http://www.aviz.fr/Research/CENDARI</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[The Collaborative EuropeaN Digital Archive Infrastructure (CENDARI) will provide and facilitate access to existing archives and resources in Europe for the study of medieval and modern European history (specifically the First World War period) through the development of an ‘enquiry environment’.
This environment will increase access to records of historic importance across the European Research Area, creating a powerful new platform for accessing and investigating historical data in a transnational fashion overcoming the national and institutional data silos that now exist. It will leverage the power of the European infrastructure for Digital Humanities (DARIAH) bringing these technical experts together with leading historians and existing research infrastructures (archives, libraries and individual digital projects) within a programme of technical research informed by cutting edge reflection on the impact of the digital age on scholarly practice.]]></description>
<dc:subject>history research editorsnotes archives visualization semweb digitalhumanities libraries hci</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:0dad248f6dcc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:editorsnotes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:archives"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:semweb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:digitalhumanities"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:libraries"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:hci"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://nodegoat.net/">
    <title>nodegoat</title>
    <dc:date>2014-04-16T18:07:23+00:00</dc:date>
    <link>http://nodegoat.net/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[nodegoat is a web-based database management, analysis and visualisation platform. Using nodegoat, scholars define, create, query, update, and manage any number of data sets by use of a graphic user interface. Their custom data model autoconfigures the backbone of the research environment's core functionalities.

Within nodegoat, scholars are able to instantly analyse and visualise data sets. nodegoat allows scholars to enrich data with relational, geographical and temporal attributes. Therefore, the modes of analysis are inherently diachronic and ready-to-use for interactive maps and extensive trailblazing.]]></description>
<dc:subject>visualization infoviz temporal spatial digitalhumanities</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:87f2c6b8597b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:infoviz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:temporal"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:spatial"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:digitalhumanities"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://dataremixed.com/2014/02/visualizing-history/">
    <title>Visualizing History | DataRemixed</title>
    <dc:date>2014-02-08T21:31:33+00:00</dc:date>
    <link>http://dataremixed.com/2014/02/visualizing-history/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Visualizing history using a gantt bar chart is a useful way to spot overlap in time – overlap of people with events, people with key dates, and people with other people. It’s also a useful way to spot patterns and identify impossibilities in a list of dates.]]></description>
<dc:subject>timeline visualization infoviz</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:d5a78c246fbe/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:timeline"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:infoviz"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ogievetsky.com/PlotWeaver/">
    <title>PlotWeaver</title>
    <dc:date>2014-01-09T20:51:14+00:00</dc:date>
    <link>http://ogievetsky.com/PlotWeaver/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[After noticing the beauty behind xkcd's beautiful graphs depicting the Interactions of Movie Characters, Stanford student Vadim Ogievetsky decided to develop an online software tool that would allow him to generate visually similar looking versions. Accordingly, PlotWeaver presents an efficient and effective layout algorithm that, with the users help, generates visual results similar to these hand-crafted posters. Ultimately, his aim is to even automate the whole process from movie script or IMDB quote page to a beautiful representative visual depiction.]]></description>
<dc:subject>narrative timeline visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:569649bc8362/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:narrative"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:timeline"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://link.springer.com/book/10.1007%2F978-0-85729-079-3">
    <title>Visualization of Time-Oriented Data - Springer</title>
    <dc:date>2014-01-09T20:10:35+00:00</dc:date>
    <link>http://link.springer.com/book/10.1007%2F978-0-85729-079-3</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Time is an exceptional dimension that is common to many application domains such as medicine, engineering, business, science, biography, history, planning, or project management. Understanding time-oriented data enables us to learn from the past in order to predict, plan, and build the future. Due to the distinct characteristics of time, appropriate visual and analytical methods are required to explore and analyze them.

This book starts with an introduction to visualization and a number of historical examples of visual representations. At its core, the book presents and discusses a systematic view of the visualization of time-oriented data. This view is structured along three key questions. While the aspects of time and associated data describe what is being visualized, user tasks are related to the question why something is visualized. These characteristics and tasks determine how the visualization is to be designed. To support visual exploration, interaction techniques and analytical methods are required as well, which are discussed in separate chapters. The concepts explained in this book are illustrated with numerous examples.

A large part of this book is devoted to a structured survey of existing techniques for visualizing time and time-oriented data. Overall, 101 different visualization techniques are presented on a per-page basis; each of these self-contained descriptions is accompanied by an illustration and corresponding references.  This survey serves as a reference for scientists conducting related research as well as for practitioners seeking information on how their time-oriented data can best be visualized in order to gain valuable insights.]]></description>
<dc:subject>temporal visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:81bd290410b2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:temporal"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=3AE01BC839A44BE64782563DBA086997?doi=10.1.1.51.5278&amp;rep=rep1&amp;type=pdf">
    <title>Dynamic Timelines: Visualizing Historical Information in Three Dimensions</title>
    <dc:date>2014-01-09T16:39:33+00:00</dc:date>
    <link>http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=3AE01BC839A44BE64782563DBA086997?doi=10.1.1.51.5278&amp;rep=rep1&amp;type=pdf</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[This thesis considers the form and function of the visual communication of historical information in computer-based media. By applying new techniques derived from traditional graphic design and cinema, such as infinite zoom, translucency, and animation, the traditional timeline is transformed into a dynamic, three-dimensional framework for the interactive presentation of historical information. I argue that current static and non-interactive presentation limit the ability of the designer to visualize complex historical information. Dynamic, interactive design solutions address the communicative goals of allowing seamless micro and macro readings of information at several levels of detail and from multiple points of view. Experimental software for visualizing the history of photography was created to examine and compare various visualization techniques.]]></description>
<dc:subject>timeline history visualization infoviz</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:fc06a15476f2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:timeline"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:infoviz"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.northernspeech.com/product/1000012/Cognitive__Linguistic_Disorders/1001158/Narrative__and_amp_Discourse_Builder_Tool/">
    <title>Narrative &amp; Discourse Builder Story Mapping Tool | Product Profile</title>
    <dc:date>2014-01-09T16:36:36+00:00</dc:date>
    <link>http://www.northernspeech.com/product/1000012/Cognitive__Linguistic_Disorders/1001158/Narrative__and_amp_Discourse_Builder_Tool/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Narrative & Discourse Builder is ideal to boost reading comprehension, narrative comprehension, and writing skills. Its efficient design will help students to better understand what they have read and be more effective at recounting the elements and progression of any story.]]></description>
<dc:subject>narrative visualization comprehension education</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:f1962b33a2fc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:narrative"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:comprehension"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:education"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.networkedcorpus.com/">
    <title>Networked Corpus | Bridging the indexical knowledge of the 18th and 21st centuries</title>
    <dc:date>2014-01-08T15:47:45+00:00</dc:date>
    <link>http://www.networkedcorpus.com/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[The Networked Corpus provides a new way to navigate large collections of texts. Using a statistical method called topic modeling, it creates links between passages that share common vocabularies, while also showing in detail the way in which the topic modeling program has “read” the texts. We are using the Networked Corpus to analyze earlier genres and concepts of topical knowledge from the development of commonplacing, anthologizing, and indexing in the early modern period through the nineteenth century.]]></description>
<dc:subject>topicmodels visualization inls520 indexing pubberlin</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:955716211b84/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:topicmodels"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:inls520"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:indexing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:pubberlin"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://queue.acm.org/detail.cfm?id=1805128">
    <title>A Tour through the Visualization Zoo - ACM Queue</title>
    <dc:date>2013-04-09T01:53:20+00:00</dc:date>
    <link>http://queue.acm.org/detail.cfm?id=1805128</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[This article provides a brief tour through the "visualization zoo," showcasing techniques for visualizing and interacting with diverse data sets. In many situations, simple data graphics will not only suffice, they may also be preferable. Here we focus on a few of the more sophisticated and unusual techniques that deal with complex data sets. After all, you don't go to the zoo to see Chihuahuas and raccoons; you go to admire the majestic polar bear, the graceful zebra, and the terrifying Sumatran tiger. Analogously, we cover some of the more exotic (but practically useful!) forms of visual data representation, starting with one of the most common, time-series data; continuing on to statistical data and maps; and then completing the tour with hierarchies and networks. Along the way, bear in mind that all visualizations share a common "DNA"—a set of mappings between data properties and visual attributes such as position, size, shape, and color—and that customized species of visualization might always be constructed by varying these encodings.]]></description>
<dc:subject>visualization reference data design infoviz</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:a6c04e31e8e7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:infoviz"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://wardcunningham.github.com/">
    <title>Smallest Federated Wiki Videos</title>
    <dc:date>2013-03-17T14:08:27+00:00</dc:date>
    <link>http://wardcunningham.github.com/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Our new wiki innovates three ways. It shares through federation, composes by refactoring and wraps data with visualization.]]></description>
<dc:subject>wiki collaboration visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:f108e15fd136/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:wiki"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:collaboration"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://vis.stanford.edu/files/2013-PostEditing-CHI.pdf">
    <title>The Efﬁcacy of Human Post-Editing for Language Translation</title>
    <dc:date>2013-02-15T17:04:55+00:00</dc:date>
    <link>http://vis.stanford.edu/files/2013-PostEditing-CHI.pdf</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Language translation is slow and expensive, so various forms of machine assistance have been devised. Automatic machine translation systems process text quickly and cheaply, but with quality far below that of skilled human translators. To bridge this quality gap, the translation industry has investigated post-editing, or the manual correction of machine output. We present the first rigorous, controlled analysis of post-editing and find that post-editing leads to reduced time and, surprisingly, improved quality for three diverse language pairs (English to Arabic, French, and German). Our statistical models and visualizations of experimental data indicate that some simple predictors (like source text part of speech counts) predict translation time, and that post-editing results in very different interaction patterns. From these results we distill implications for the design of new language translation interfaces.]]></description>
<dc:subject>visualization translation transcription editing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:2353084aed12/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:translation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:transcription"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:editing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://reclinejs.com/">
    <title>Home - Recline Data Explorer and Library</title>
    <dc:date>2013-01-18T21:49:34+00:00</dc:date>
    <link>http://reclinejs.com/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[A simple but powerful library for building data applications in pure Javascript and HTML.]]></description>
<dc:subject>data visualization javascript</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:2a4aa0d43fcc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:javascript"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://fellinlovewithdata.com/guides/7-classic-foundational-vis-papers">
    <title>7 Classic Foundational Vis Papers You Might not Want to Publicly Confess you Don’t Know — Fell in Love with Data</title>
    <dc:date>2012-12-28T00:55:42+00:00</dc:date>
    <link>http://fellinlovewithdata.com/guides/7-classic-foundational-vis-papers</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[some papers recur over and over and they really are (at least in part) the foundation of information visualization. Here is a list of those that:

come from the very early days of infovis
are foundational
are cited over and over]]></description>
<dc:subject>visualization research</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:e07e25123108/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:research"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.morganclaypool.com/doi/abs/10.2200/S00357ED1V01Y201105VIS002?journalCode=vis">
    <title>Morgan &amp; Claypool Publishers - Synthesis Lectures on Visualization - 2(1):1 - Abstract</title>
    <dc:date>2012-12-27T14:24:18+00:00</dc:date>
    <link>http://www.morganclaypool.com/doi/abs/10.2200/S00357ED1V01Y201105VIS002?journalCode=vis</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Analytical reasoning techniques are methods by which users explore their data to obtain insight and knowledge that can directly support situational awareness and decision making. Recently, the analytical reasoning process has been augmented through the use of interactive visual representations and tools which utilize cognitive, design and perceptual principles. These tools are commonly referred to as visual analytics tools, and the underlying methods and principles have roots in a variety of disciplines. This chapter provides an introduction to young researchers as an overview of common visual representations and statistical analysis methods utilized in a variety of visual analytics systems. The application and design of visualization and analytical algorithms are subject to design decisions, parameter choices, and many conflicting requirements. As such, this chapter attempts to provide an initial set of guidelines for the creation of the visual representation, including pitfalls and areas where the graphics can be enhanced through interactive exploration. Basic analytical methods are explored as a means of enhancing the visual analysis process, moving from visual analysis to visual analytics.]]></description>
<dc:subject>visualization statistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:b5546f6d8220/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.treesmapsandtheorems.com/">
    <title>Trees, maps, and theorems | Jean-luc Doumont</title>
    <dc:date>2012-12-27T14:20:36+00:00</dc:date>
    <link>http://www.treesmapsandtheorems.com/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[Effective communication for rational minds.
]]></description>
<dc:subject>communication writing visualization scholarlycommunication</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:fc626c80681e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:communication"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:writing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:scholarlycommunication"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://sigmajs.org/">
    <title>sigma.js | a lightweight JavaScript graph drawing library</title>
    <dc:date>2012-12-27T14:11:11+00:00</dc:date>
    <link>http://sigmajs.org/</link>
    <dc:creator>rybesh</dc:creator><description><![CDATA[sigma.js is an open-source lightweight JavaScript library to draw graphs, using the HTML canvas element. It has been especially designed to:

Display interactively static graphs exported from a graph visualization software - like Gephi
Display dynamically graphs that are generated on the fly]]></description>
<dc:subject>javascript graph visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rybesh/b:423c5f8b20a5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:graph"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rybesh/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
</rdf:RDF>