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	<title>AnthroSpace &#187; Claudia Engel</title>
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	<link>http://www.stanford.edu/~cengel/cgi-bin/anthrospace</link>
	<description>www.stanford.edu/~cengel/blog</description>
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		<title>Download Global Administrative Areas as RData files</title>
		<link>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/download-global-administrative-areas-as-rdata-files</link>
		<comments>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/download-global-administrative-areas-as-rdata-files#comments</comments>
		<pubDate>Tue, 22 Sep 2009 21:53:37 +0000</pubDate>
		<dc:creator>Claudia Engel</dc:creator>
				<category><![CDATA[All Things Spatial]]></category>
		<category><![CDATA[R]]></category>
		<category><![CDATA[administrative boundaries]]></category>
		<category><![CDATA[ESRI]]></category>
		<category><![CDATA[Google Earth]]></category>
		<category><![CDATA[shapefiles]]></category>

		<guid isPermaLink="false">http://www.stanford.edu/~cengel/cgi-bin/anthrospace/?p=717</guid>
		<description><![CDATA[Global Administrative Areas (GADM) is a spatial database of the location of the world's administrative areas. Files are provided as Google Earth KMZ, shapefiles (.shp), ESRI geodatabase and as I was exited to see: as .RData files.

Download or load directly from the website.
This will create an object called gadm:
PLAIN TEXT
R:




library&#40;sp&#41;


# let's take a small country...


con [...]]]></description>
		<wfw:commentRss>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/download-global-administrative-areas-as-rdata-files/feed</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Scraping New York Times Articles with R</title>
		<link>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/scraping-new-york-times-articles-with-r</link>
		<comments>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/scraping-new-york-times-articles-with-r#comments</comments>
		<pubDate>Sat, 05 Sep 2009 17:17:30 +0000</pubDate>
		<dc:creator>Claudia Engel</dc:creator>
				<category><![CDATA[R]]></category>
		<category><![CDATA[Research Tools]]></category>
		<category><![CDATA[API]]></category>
		<category><![CDATA[NYT]]></category>
		<category><![CDATA[Webscraping]]></category>

		<guid isPermaLink="false">http://www.stanford.edu/~cengel/cgi-bin/anthrospace/?p=687</guid>
		<description><![CDATA[This is a very simple, quick and dirty attempt to make use of the NYT Articles API from within R.
It retrieves the publishing dates of articles that contain a query string and plots the number of articles over time, like this:
The How-To:
There are a currently few limitations on the NYT Article API.

Results are in JSON [...]]]></description>
		<wfw:commentRss>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/scraping-new-york-times-articles-with-r/feed</wfw:commentRss>
		<slash:comments>7</slash:comments>
		</item>
		<item>
		<title>R on Xgrid via Gridstuffer</title>
		<link>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/r-on-xgrid-via-gridstu%ef%ac%80er</link>
		<comments>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/r-on-xgrid-via-gridstu%ef%ac%80er#comments</comments>
		<pubDate>Fri, 31 Jul 2009 01:22:02 +0000</pubDate>
		<dc:creator>Claudia Engel</dc:creator>
				<category><![CDATA[R]]></category>
		<category><![CDATA[Xgrid]]></category>

		<guid isPermaLink="false">http://www.stanford.edu/~cengel/cgi-bin/anthrospace/?p=623</guid>
		<description><![CDATA[This procedure was used to run redistricting simulations with an R module called BARD (Better Automated ReDistricting). Since the same code needed to be run repeatedly for 2-200 seats and for all US states, a parallel computing environment was used. DISCLAIMER: This assumes that one has some control over the Xgrid agents -- we did [...]]]></description>
		<wfw:commentRss>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/r-on-xgrid-via-gridstu%ef%ac%80er/feed</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Metropolitan Philadelphia Indicators Project &#8211; Online Map</title>
		<link>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/metropolitan-philadelphia-indicators-project-online-map</link>
		<comments>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/metropolitan-philadelphia-indicators-project-online-map#comments</comments>
		<pubDate>Thu, 30 Jul 2009 23:26:10 +0000</pubDate>
		<dc:creator>Claudia Engel</dc:creator>
				<category><![CDATA[All Things Spatial]]></category>
		<category><![CDATA[Cities]]></category>
		<category><![CDATA[Data]]></category>
		<category><![CDATA[Maps]]></category>

		<guid isPermaLink="false">http://www.stanford.edu/~cengel/cgi-bin/anthrospace/metropolitan-philadelphia-indicators-project-online-map</guid>
		<description><![CDATA[The Metropolitan Philadelphia Indicators Project released an online map, MetroPhilaMapper which allows to easily map over 300 indicators for the region, including land use patterns, population characteristics, school district spending and performance, income and wage data, and crime patterns.
]]></description>
		<wfw:commentRss>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/metropolitan-philadelphia-indicators-project-online-map/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Distributed Collaboration with Aquamacs</title>
		<link>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/distributed-collaboration-with-aquamacs</link>
		<comments>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/distributed-collaboration-with-aquamacs#comments</comments>
		<pubDate>Fri, 24 Apr 2009 18:47:51 +0000</pubDate>
		<dc:creator>Claudia Engel</dc:creator>
				<category><![CDATA[Collaboration & Learning]]></category>
		<category><![CDATA[R]]></category>
		<category><![CDATA[aquamacs]]></category>
		<category><![CDATA[emacs]]></category>
		<category><![CDATA[latex]]></category>
		<category><![CDATA[svn]]></category>

		<guid isPermaLink="false">http://www.stanford.edu/~cengel/cgi-bin/anthrospace/?p=569</guid>
		<description><![CDATA[Recently I revisited Aquamacs (1.7), to see how I could set it up for a distributed collaboration scenario. Here are a few things I found helpful.
Set up Aquamacs for subversion:
I used psvn, rather than the built in support. Download from here : http://www.xsteve.at/prg/vc_svn/
Create a folder ~/elisp and save the file as psvn.el there
Add the following [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Discussion on MapHist: Georeferencing of Historical maps in GIS</title>
		<link>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/discussion-on-maphist-georeferenging-of-historical-maps-in-gis</link>
		<comments>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/discussion-on-maphist-georeferenging-of-historical-maps-in-gis#comments</comments>
		<pubDate>Thu, 05 Mar 2009 19:37:55 +0000</pubDate>
		<dc:creator>Claudia Engel</dc:creator>
				<category><![CDATA[All Things Spatial]]></category>
		<category><![CDATA[Maps]]></category>

		<guid isPermaLink="false">http://www.stanford.edu/~cengel/cgi-bin/anthrospace/?p=557</guid>
		<description><![CDATA[A discussion about referencing and bringing historical maps into a GIS recently took place on the MapHist Mailing list. The thread on "Historical maps in GIS, accuracy, RMS error" starts here . It ranges from evaluations of different transformation algorithms to the question of why would we want to georeference historical maps at all and [...]]]></description>
		<wfw:commentRss>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/discussion-on-maphist-georeferenging-of-historical-maps-in-gis/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>GIS @ Stanford &#8211; Where to start</title>
		<link>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/gis-stanford-where-to-start</link>
		<comments>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/gis-stanford-where-to-start#comments</comments>
		<pubDate>Fri, 16 Jan 2009 01:09:29 +0000</pubDate>
		<dc:creator>Claudia Engel</dc:creator>
				<category><![CDATA[All Things Spatial]]></category>

		<guid isPermaLink="false">http://www.stanford.edu/~cengel/cgi-bin/anthrospace/?p=473</guid>
		<description><![CDATA[The following links are from my presentation at the MAPSS seminar, which provided an overview of the resources to get started with GIS research in the Social Sciences.  Note that some pointers have relevance or are accessible for Stanford affiliates only.

Software:
ArcGIS -  http://esri.com
ArcGIS is an integrated collection of commercial GIS software products that provides a [...]]]></description>
		<wfw:commentRss>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/gis-stanford-where-to-start/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Easy download of asdar datasets</title>
		<link>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/easy-download-of-asdar-datasets</link>
		<comments>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/easy-download-of-asdar-datasets#comments</comments>
		<pubDate>Sat, 03 Jan 2009 02:27:03 +0000</pubDate>
		<dc:creator>Claudia Engel</dc:creator>
				<category><![CDATA[All Things Spatial]]></category>
		<category><![CDATA[R]]></category>

		<guid isPermaLink="false">http://www.stanford.edu/~cengel/cgi-bin/anthrospace/?p=437</guid>
		<description><![CDATA[If you are looking for an easy way to download all the example data used Applied Spatial Data Analysis with R, this script was recently posted on the R-sig-Geo Mailing list by one of the book's authors, Roger Bivand.

#! /bin/bash
export ASDAR="http://www.asdar-book.org/"
export ASDAR_BUNDLES="${ASDAR}bundles"
CHAPTERS="hello cm vis die cm2 csdacm sppa geos lat1 lat2 dismap"
for ch in $CHAPTERS; [...]]]></description>
		<wfw:commentRss>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/easy-download-of-asdar-datasets/feed</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Batch convert DMS to DD</title>
		<link>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/batch-convert-dms-to-dd</link>
		<comments>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/batch-convert-dms-to-dd#comments</comments>
		<pubDate>Wed, 17 Dec 2008 23:22:51 +0000</pubDate>
		<dc:creator>Claudia Engel</dc:creator>
				<category><![CDATA[All Things Spatial]]></category>

		<guid isPermaLink="false">http://www.stanford.edu/~cengel/cgi-bin/anthrospace/batch-convert-dms-to-dd</guid>
		<description><![CDATA[These are instructions for Mac.

From http://www.kyngchaos.com/wiki/software:frameworks install the PROJ framework.
In your home directory create or edit a file called .bash_login
Add the line:
export PATH=/Library/Frameworks/PROJ.framework/Programs:$PATH
Have your lat long in a file, for example dms_file like this:

121d13'52.432"W 37d28'57.767"N
2d20'55"E48d51'12"N
etc..

(one point per line)
Use this command to convert all into Decimals Degrees and save them in a file called, for example [...]]]></description>
		<wfw:commentRss>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/batch-convert-dms-to-dd/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Download OpenStreet maps as shapefiles</title>
		<link>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/download-openstreet-maps-as-shapefiles</link>
		<comments>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/download-openstreet-maps-as-shapefiles#comments</comments>
		<pubDate>Wed, 12 Nov 2008 00:47:36 +0000</pubDate>
		<dc:creator>Claudia Engel</dc:creator>
				<category><![CDATA[Data]]></category>
		<category><![CDATA[Maps]]></category>

		<guid isPermaLink="false">http://www.stanford.edu/~cengel/cgi-bin/anthrospace/?p=415</guid>
		<description><![CDATA[There are now two sites that offer download of from OpenStreet in varying formats, including shapefiles and GPS: CloudMade and Geofabrik (for Europe).
]]></description>
		<wfw:commentRss>http://www.stanford.edu/~cengel/cgi-bin/anthrospace/download-openstreet-maps-as-shapefiles/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
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