<?xml version="1.0" encoding="UTF-8"?>
 <rdf:RDF xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:cc="http://web.resource.org/cc/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:admin="http://webns.net/mvcb/">
  <channel rdf:about="http://pinboard.in">
    <title>Pinboard (jm)</title>
    <link>https://pinboard.in/u:jm/public/</link>
    <description>recent bookmarks from jm</description>
    <items>
      <rdf:Seq>	<rdf:li rdf:resource="https://www.politico.com/news/magazine/2024/02/28/government-buying-your-data-00143742"/>
	<rdf:li rdf:resource="https://www.researchgate.net/figure/Classification-of-Irelands-land-area-into-four-categories-in-relation-to-availability_fig1_292988995"/>
	<rdf:li rdf:resource="http://map.geohive.ie/mapviewer.html"/>
	<rdf:li rdf:resource="https://engineering.door2door.io/querying-openstreetmap-buildings-with-aws-athena-ae50bf1bc5f0"/>
	<rdf:li rdf:resource="https://threadreaderapp.com/thread/957708645403373570.html"/>
	<rdf:li rdf:resource="http://fusion.net/story/287592/internet-mapping-glitch-kansas-farm/"/>
	<rdf:li rdf:resource="https://www.gov.uk/government/news/lasers-reveal-lost-roman-roads"/>
	<rdf:li rdf:resource="http://tigercooke.com/blog/2015/07/21/irish-postcodes/"/>
	<rdf:li rdf:resource="https://issues.apache.org/jira/browse/LUCENE-6917"/>
	<rdf:li rdf:resource="http://www.thisiscolossal.com/2015/11/willamette-river-history-dan-coe/"/>
	<rdf:li rdf:resource="https://environmentagency.blog.gov.uk/2015/09/18/laser-surveys-light-up-open-data/"/>
	<rdf:li rdf:resource="http://dublindashboard.ie/"/>
	<rdf:li rdf:resource="http://blog.forecast.io/how-quicksilver-images-are-generated/"/>
	<rdf:li rdf:resource="http://flowingdata.com/2011/09/22/rectangular-subdivisions-of-the-world/"/>
	<rdf:li rdf:resource="http://maltmadness.com/whisky/map/Scotland/index.html?maplocation=Caol%20Ila"/>
      </rdf:Seq>
    </items>
  </channel><item rdf:about="https://www.politico.com/news/magazine/2024/02/28/government-buying-your-data-00143742">
    <title>Phone geodata is being widely collected by US government agencies</title>
    <dc:date>2024-07-16T15:34:48+00:00</dc:date>
    <link>https://www.politico.com/news/magazine/2024/02/28/government-buying-your-data-00143742</link>
    <dc:creator>jm</dc:creator><description><![CDATA[More info on the current state of the post-Snowden geodata scraping:

<blockquote>[Byron Tau was told] the government was buying up reams of consumer data — information scraped from cellphones, social media profiles, internet ad exchanges and other open sources — and deploying it for often-clandestine purposes like law enforcement and national security in the U.S. and abroad. The places you go, the websites you visit, the opinions you post — all collected and legally sold to federal agencies.

In his new book, _Means of Control_, Tau details everything he’s learned since that dinner: An opaque network of government contractors is peddling troves of data, a legal but shadowy use of American citizens’ information that troubles even some of the officials involved. And attempts by Congress to pass privacy protections fit for the digital era have largely stalled, though reforms to a major surveillance program are now being debated.</blockquote>

Great quote:

<blockquote>
Politico: You compare to some degree the state of surveillance in China versus the U.S. You write that China wants its citizens to know that they’re being tracked, whereas in the U.S., “the success lies in the secrecy.” What did you mean by that?

That was a line that came in an email from a police officer in the United States who got access to a geolocation tool that allowed him to look at the movement of phones. And he was essentially talking about how great this tool was because it wasn’t widely, publicly known. The police could buy up your geolocation movements and look at them without a warrant. And so he was essentially saying that the success lies in the secrecy, that if people were to know that this was what the police department was doing, they would ditch their phones or they would not download certain apps.</blockquote>

Based on Wolfie Christl's research in Germany, the same data is being scraped here, too, regardless of any protection the GDPR might supposedly provide: https://x.com/WolfieChristl/status/1813221172927975722]]></description>
<dc:subject>government privacy surveillance geodata phones mobile us-politics data-protection gdpr</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:88a788492c39/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:government"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:privacy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:surveillance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geodata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:phones"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:mobile"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:us-politics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:data-protection"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:gdpr"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.researchgate.net/figure/Classification-of-Irelands-land-area-into-four-categories-in-relation-to-availability_fig1_292988995">
    <title>Ireland by land quality</title>
    <dc:date>2022-05-03T14:29:38+00:00</dc:date>
    <link>https://www.researchgate.net/figure/Classification-of-Irelands-land-area-into-four-categories-in-relation-to-availability_fig1_292988995</link>
    <dc:creator>jm</dc:creator><description><![CDATA[aka. "Classification of Ireland’s land area into four categories in relation to availability for forestry expansion and the area of productive and marginal agricultural land with most potential for forestry expansion" -- good way to identify regions with poor agricultural land, ie. a better probability of rewilding]]></description>
<dc:subject>rewilding rural land ireland maps geodata fishery agriculture farming</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:6c8b099c84ff/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:rewilding"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:rural"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:land"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:ireland"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:maps"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geodata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:fishery"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:agriculture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:farming"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://map.geohive.ie/mapviewer.html">
    <title>GeoHive</title>
    <dc:date>2019-05-22T13:22:25+00:00</dc:date>
    <link>http://map.geohive.ie/mapviewer.html</link>
    <dc:creator>jm</dc:creator><description><![CDATA['a new national platform for accessing authoritative geospatial information which provides free, web-based access to authoritative Irish spatial data from multiple providers, including Ordnance Survey Ireland (OSi) and many more.']]></description>
<dc:subject>ireland mapping maps geo ordnance-survey osi geodata</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:74b7fa81e8e7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:ireland"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:mapping"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:maps"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:ordnance-survey"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:osi"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geodata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://engineering.door2door.io/querying-openstreetmap-buildings-with-aws-athena-ae50bf1bc5f0">
    <title>Querying OpenStreetMap Buildings with AWS Athena – door2door Engineering</title>
    <dc:date>2018-10-12T14:27:39+00:00</dc:date>
    <link>https://engineering.door2door.io/querying-openstreetmap-buildings-with-aws-athena-ae50bf1bc5f0</link>
    <dc:creator>jm</dc:creator><description><![CDATA[Well this is damn cool: 
<blockquote>AWS not only made OpenStreetMap planet data available on S3, but it also made it query-able with Athena. Pretty cool, no?  Now, in theory, you can just construct an SQL query, send it to Athena, and then do whatever you want with the results. No more:

Updating OSM planet data yourself; it gets updated on AWS whenever OSM publishes it, once a week.

Transforming the data into a query-able format; Athena handles that for you.

Query/request frequency limits (it’s still AWS though, so other limitations might apply 💸 💸)

At door2door, we had a pretty straight-forward use-case for this: we needed to get buildings in specific regions based only on where they were, and transform those buildings into GeoJSON that we can attach our data to, and visualize on the front-end on top of our base map.</blockquote>

]]></description>
<dc:subject>athena osm buildings aws geodata mapping maps door2door cool hacks</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:1507124525ff/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:athena"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:osm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:buildings"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geodata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:mapping"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:maps"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:door2door"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:cool"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:hacks"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://threadreaderapp.com/thread/957708645403373570.html">
    <title>Amazing thread from @gavinsblog on the Strava leak</title>
    <dc:date>2018-01-29T15:31:44+00:00</dc:date>
    <link>https://threadreaderapp.com/thread/957708645403373570.html</link>
    <dc:creator>jm</dc:creator><description><![CDATA['This often led to the same results you see with Strava. In low population countries, or countries with low smartphone penetration, it was often easy to detect Westerners (usually soldiers) in remote areas.

this usually led to being able to identify bases and other types of things based solely on social data. Iraq, Afghanistan = always easy to find US troops (Instagram being a common sharing tool). Same true of IDF troops in staging areas before invasion of Gaza in 2014.

and the same true in 2014 with Russian troops in Ukraine. All too easy. Of course the other thing you might be nosey about [is] known military facilities. Social geotagging can give you staff/visitor lists if you persist long enough.

the difference between this technique and Strava was you could usually quickly deduce first name/last name if you wanted, and infer other social profiles eg LinkedIn -> FB -> FB friends -> work colleagues. Not only that but it was possible to automate.']]></description>
<dc:subject>strava privacy military security geotagging geodata gavin-sheridan</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:11232126fe18/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:strava"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:privacy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:military"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:security"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geotagging"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geodata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:gavin-sheridan"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://fusion.net/story/287592/internet-mapping-glitch-kansas-farm/">
    <title>Internet mapping turned a remote farm into a digital hell</title>
    <dc:date>2016-04-10T22:39:21+00:00</dc:date>
    <link>http://fusion.net/story/287592/internet-mapping-glitch-kansas-farm/</link>
    <dc:creator>jm</dc:creator><description><![CDATA[I think this a bit of a legal issue for MaxMind:
<blockquote>The trouble for the Taylor farm started in 2002, when a Massachusetts-based digital mapping company called MaxMind decided it wanted to provide “IP intelligence” to companies who wanted to know the geographic location of a computer to, for example, show the person using it relevant ads or to send the person a warning letter if they were pirating music or movies.</blockquote>

]]></description>
<dc:subject>maxmind fail location ip geodata gps mapping kansas</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:0a76526f6689/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:maxmind"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:fail"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:location"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:ip"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geodata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:gps"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:mapping"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:kansas"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.gov.uk/government/news/lasers-reveal-lost-roman-roads">
    <title>Lasers reveal 'lost' Roman roads</title>
    <dc:date>2016-02-15T16:01:14+00:00</dc:date>
    <link>https://www.gov.uk/government/news/lasers-reveal-lost-roman-roads</link>
    <dc:creator>jm</dc:creator><description><![CDATA[UK open data success story, via Tony Finch:

<blockquote>This LIDAR data bonanza has proved particularly helpful to archaeologists seeking to map Roman roads that have been ‘lost’, some for thousands of years. Their discoveries are giving clues to a neglected chapter in the history of Roman Britain: the roads built to help Rome’s legions conquer and control northern England.</blockquote>

]]></description>
<dc:subject>uk government lidar open-data data roman history mapping geodata</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:b5d8a08d755e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:uk"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:government"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:lidar"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:open-data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:roman"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:mapping"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geodata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://tigercooke.com/blog/2015/07/21/irish-postcodes/">
    <title>Why Eircode is a shambles, by someone who works in the transport industry</title>
    <dc:date>2016-01-25T17:55:48+00:00</dc:date>
    <link>http://tigercooke.com/blog/2015/07/21/irish-postcodes/</link>
    <dc:creator>jm</dc:creator><description><![CDATA[This is full of good points.

<blockquote>Without having a distinct SORT KEY for a geographically distinct area, a postcode is of no real benefit to any type of transport firm or agency.  To take one example, Eircode have used the same sort key, F92, for Arranmore (Donegal’s largest inhabited island) and the north western Donegal mainland.  Cill Rónáin, Inis Mór, the largest of the Aran Islands, has the same sort key H91, as Connemara and Galway City.  Galway city and the Aran Islands may be in a relatively small geographical area, but keen eyes may have noticed that the Aran Islands are separated from the mainland by a small section of the Atlantic Ocean.  Sort codes which ignore clear and obvious boundaries, like seas or oceans, need to be redesigned. In two seconds a [UK] website could tell a Hebridean that his delivery will take 4 days at a cost of fifty quid by using the first three characters of the postcode.  The Eircode-using Irish equivalent website would need to lookup a large database to tell an Arranmore resident the cost and time for delivery – and they’d need the full exact code.  Any mistake made here, and your estimated delivery time, and cost for delivery will be wrong.
</blockquote>

]]></description>
<dc:subject>postcodes eircode loc8code fail couriers delivery geodata geocoding galway aran-islands</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:a6a2b80e49bc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:postcodes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:eircode"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:loc8code"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:fail"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:couriers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:delivery"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geodata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geocoding"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:galway"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:aran-islands"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://issues.apache.org/jira/browse/LUCENE-6917">
    <title>[LUCENE-6917] Deprecate and rename NumericField/RangeQuery to LegacyNumeric - ASF JIRA</title>
    <dc:date>2015-12-14T11:30:30+00:00</dc:date>
    <link>https://issues.apache.org/jira/browse/LUCENE-6917</link>
    <dc:creator>jm</dc:creator><description><![CDATA[Interesting performance-related tweak going into Lucene -- based on the Bkd-Tree I think: https://users.cs.duke.edu/~pankaj/publications/papers/bkd-sstd.pdf . Being used for all numeric index types, not just multidimensional ones?]]></description>
<dc:subject>lucene performance algorithms patches bkd-trees geodata numeric indexing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:e2894da4d414/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:lucene"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:patches"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:bkd-trees"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geodata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:numeric"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:indexing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.thisiscolossal.com/2015/11/willamette-river-history-dan-coe/">
    <title>Art Meets Cartography: The 15,000-Year History of a River in Oregon Rendered in Data</title>
    <dc:date>2015-11-25T17:22:36+00:00</dc:date>
    <link>http://www.thisiscolossal.com/2015/11/willamette-river-history-dan-coe/</link>
    <dc:creator>jm</dc:creator><description><![CDATA[this is really beautiful.  Available as a printable, 17" x 38" PDF from http://www.oregongeology.org/pubs/ll/p-poster-willamette.htm]]></description>
<dc:subject>art data mapping geodata oregon rivers willamette-river history lidar</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:0ada87a6bf91/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:art"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:mapping"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geodata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:oregon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:rivers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:willamette-river"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:lidar"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://environmentagency.blog.gov.uk/2015/09/18/laser-surveys-light-up-open-data/">
    <title>England opens up 11TB of LiDAR data covering the entire country as open data</title>
    <dc:date>2015-10-13T13:02:48+00:00</dc:date>
    <link>https://environmentagency.blog.gov.uk/2015/09/18/laser-surveys-light-up-open-data/</link>
    <dc:creator>jm</dc:creator><description><![CDATA[<blockquote>All 11 terabytes of our LIDAR data (that’s roughly equivalent to 2,750,000 MP3 songs) will eventually be available through our new Open LIDAR portal under an Open Government Licence, allowing it to be used for any purpose.  We hope that by giving free access to our data businesses and local communities will develop innovative solutions to benefit the environment, grow our thriving rural economy, and boost our world-leading food and farming industry. The possibilities are endless and we hope that making LIDAR data open will be a catalyst for new ideas and innovation.</blockquote>

Are you reading, Ordnance Survey Ireland?]]></description>
<dc:subject>data maps uk lidar mapping geodata open-data ogl</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:38d949a2d84d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:maps"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:uk"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:lidar"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:mapping"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geodata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:open-data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:ogl"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://dublindashboard.ie/">
    <title>DublinDashboard</title>
    <dc:date>2014-09-22T09:32:58+00:00</dc:date>
    <link>http://dublindashboard.ie/</link>
    <dc:creator>jm</dc:creator><description><![CDATA['provides citizens, public sector workers and companies with real-time information, time-series indicator data, and interactive maps about all aspects of the city. It enables users to gain detailed, up to date intelligence about the city that aids everyday decision making and fosters evidence-informed analysis.'
]]></description>
<dc:subject>dublin dashboards maps geodata time-series open-data ireland</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:67d569d18f12/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:dublin"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:dashboards"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:maps"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geodata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:time-series"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:open-data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:ireland"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.forecast.io/how-quicksilver-images-are-generated/">
    <title>Forecast Blog</title>
    <dc:date>2013-08-29T20:59:15+00:00</dc:date>
    <link>http://blog.forecast.io/how-quicksilver-images-are-generated/</link>
    <dc:creator>jm</dc:creator><description><![CDATA[Forecast.io are doing such a great job of applying modern machine-learning to traditional weather data.  "Quicksilver" is their neural-net-adjusted global temperature geodata, and here's how it's built
]]></description>
<dc:subject>quicksilver forecast forecast.io neural-networks ai machine-learning algorithms weather geodata earth temperature</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:38284b85153b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:quicksilver"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:forecast"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:forecast.io"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:neural-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:weather"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geodata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:earth"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:temperature"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://flowingdata.com/2011/09/22/rectangular-subdivisions-of-the-world/">
    <title>Rectangular subdivisions of the world</title>
    <dc:date>2011-09-25T21:05:13+00:00</dc:date>
    <link>http://flowingdata.com/2011/09/22/rectangular-subdivisions-of-the-world/</link>
    <dc:creator>jm</dc:creator><description><![CDATA['Eric Fischer, who continues his string of mapping fun and doesn't even do it for his day job, maps the world in binary subdivisions. Each bounding box contains an equal number of geotagged tweets.'   via Nelson]]></description>
<dc:subject>maps mapping bounding-boxes world earth geodata geotagging twitter</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:b80afccedd9c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:maps"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:mapping"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:bounding-boxes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:world"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:earth"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geodata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geotagging"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:twitter"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://maltmadness.com/whisky/map/Scotland/index.html?maplocation=Caol%20Ila">
    <title>Whisky Map of Distilleries in Scotland (Malt Madness Distillery Data)</title>
    <dc:date>2010-01-26T21:49:47+00:00</dc:date>
    <link>http://maltmadness.com/whisky/map/Scotland/index.html?maplocation=Caol%20Ila</link>
    <dc:creator>jm</dc:creator><description><![CDATA[wow.  my new shopping list.  also: now do one for Ireland ;)]]></description>
<dc:subject>whisky yum reference maps geodata distilleries single-malts</dc:subject>
<dc:identifier>https://pinboard.in/u:jm/b:199412a7fd65/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:whisky"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:yum"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:maps"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:geodata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:distilleries"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:single-malts"/>
</rdf:Bag></taxo:topics>
</item>
</rdf:RDF>