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	<title>GEOSPATIAL DATA REPORT : Finding and Using GIS Data</title>
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	<link>http://geospatial.edublogs.org</link>
	<description>A blog about geospatial data sources and how to use data in GIS</description>
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			<item>
		<title>United States : U.S. Census, TIGER/Line® Shapefiles</title>
		<link>http://geospatial.edublogs.org/2009/10/03/united-states-us-census-2007-tigerline%c2%ae-shapefiles/</link>
		<comments>http://geospatial.edublogs.org/2009/10/03/united-states-us-census-2007-tigerline%c2%ae-shapefiles/#comments</comments>
		<pubDate>Sat, 03 Oct 2009 22:00:12 +0000</pubDate>
		<dc:creator>cmaene</dc:creator>
				<category><![CDATA[Boundaries, US]]></category>
		<category><![CDATA[Census & Demographics, US]]></category>
		<category><![CDATA[Hydrography, US]]></category>
		<category><![CDATA[Japan]]></category>
		<category><![CDATA[Kenya]]></category>
		<category><![CDATA[Land Trans. US]]></category>
		<category><![CDATA[Puerto Rico]]></category>
		<category><![CDATA[Virgin Islands]]></category>
		<category><![CDATA[Boundaries]]></category>
		<category><![CDATA[Census]]></category>
		<category><![CDATA[Hydrography]]></category>
		<category><![CDATA[Landmarks]]></category>
		<category><![CDATA[Streets]]></category>
		<category><![CDATA[Transportation]]></category>
		<category><![CDATA[US Census]]></category>

		<guid isPermaLink="false">http://geospatial.edublogs.org/?p=115</guid>
		<description><![CDATA[http://www.census.gov/geo/www/tiger/tgrshp2009/tgrshp2009.html
(or directly from http://www2.census.gov/geo/tiger/)
 2009 version just came out on 10/1/09! Previous versions are also linked from this site.
The TIGER/Line Shapefiles are extracts containing selected geographic and cartographic information from the Census Bureau&#8217;s MAF/TIGER® database. Unlike the previous Cartographic Boundary Files site, this site includes block boundary files as well as hydrography, transportation/streets and landmark [...]]]></description>
		<wfw:commentRss>http://geospatial.edublogs.org/2009/10/03/united-states-us-census-2007-tigerline%c2%ae-shapefiles/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Chicago : CMAP&#8217;s 2005 Land-use Inventory</title>
		<link>http://geospatial.edublogs.org/2009/08/25/chicago-cmaps-2005-land-use-inventory/</link>
		<comments>http://geospatial.edublogs.org/2009/08/25/chicago-cmaps-2005-land-use-inventory/#comments</comments>
		<pubDate>Tue, 25 Aug 2009 16:38:35 +0000</pubDate>
		<dc:creator>cmaene</dc:creator>
				<category><![CDATA[Chicago]]></category>

		<guid isPermaLink="false">http://geospatial.edublogs.org/?p=228</guid>
		<description><![CDATA[
http://www.cmap.illinois.gov/LandUseInventory2005.aspx
This is one of the most popular datasets among urban planning students! It&#8217;s a land use dataset of the seven-county region of northeastern Illinois. Northeastern Illinois is comprised of Cook, DuPage, Kane, Kendall, Lake, McHenry and Will County. The data is available both in shapefiles and ArcGIS personal geodatabase formats. Land use is aggregated to [...]]]></description>
		<wfw:commentRss>http://geospatial.edublogs.org/2009/08/25/chicago-cmaps-2005-land-use-inventory/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>United States : ICPSR Historical Election Returns Series</title>
		<link>http://geospatial.edublogs.org/2009/07/10/united-states-icpsr-historical-election-returns-series/</link>
		<comments>http://geospatial.edublogs.org/2009/07/10/united-states-icpsr-historical-election-returns-series/#comments</comments>
		<pubDate>Fri, 10 Jul 2009 21:54:50 +0000</pubDate>
		<dc:creator>cmaene</dc:creator>
				<category><![CDATA[Elections, US]]></category>
		<category><![CDATA[Elections]]></category>
		<category><![CDATA[Historical]]></category>
		<category><![CDATA[ICPSR]]></category>

		<guid isPermaLink="false">http://geospatial.edublogs.org/?p=227</guid>
		<description><![CDATA[http://www.icpsr.umich.edu/cocoon/ICPSR/SERIES/00059.xml
[Available to ICPSR members only - most U.S. higher education institutions are member institutions!]
&#8220;The United States Historical Election Returns series was developed by ICPSR and was supported by grants from the National Science Foundation and the National Endowment for the Humanities. ICPSR&#8217;s holdings of historical election data cover the years 1788-1990 and consist of several [...]]]></description>
		<wfw:commentRss>http://geospatial.edublogs.org/2009/07/10/united-states-icpsr-historical-election-returns-series/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>United States : AmericaView</title>
		<link>http://geospatial.edublogs.org/2009/07/02/united-states-americaview/</link>
		<comments>http://geospatial.edublogs.org/2009/07/02/united-states-americaview/#comments</comments>
		<pubDate>Fri, 03 Jul 2009 01:15:49 +0000</pubDate>
		<dc:creator>cmaene</dc:creator>
				<category><![CDATA[Other US States]]></category>
		<category><![CDATA[Satellite Imagery & Remote Sensing, US]]></category>
		<category><![CDATA[AmericaView]]></category>
		<category><![CDATA[Remote Sensing]]></category>
		<category><![CDATA[Satellite Imagery]]></category>
		<category><![CDATA[USGS]]></category>

		<guid isPermaLink="false">http://geospatial.edublogs.org/?p=223</guid>
		<description><![CDATA[http://www.americaview.org/
&#8220;AmericaView (AV) is a nationwide program that focuses on satellite remote sensing data and technologies in support of applied research, K-16 education, workforce development, and technology transfer.&#8221; Most state&#8217;s AmericaView program provides access to its satellite imagery and remotely sensed data collection. Visit the member state websites below to find more about the state programs.
Current [...]]]></description>
		<wfw:commentRss>http://geospatial.edublogs.org/2009/07/02/united-states-americaview/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Chicago : Woodstock Institute Foreclosure Data</title>
		<link>http://geospatial.edublogs.org/2009/06/29/chicago-woodstock-institute-foreclosure-data/</link>
		<comments>http://geospatial.edublogs.org/2009/06/29/chicago-woodstock-institute-foreclosure-data/#comments</comments>
		<pubDate>Mon, 29 Jun 2009 23:10:06 +0000</pubDate>
		<dc:creator>cmaene</dc:creator>
				<category><![CDATA[Chicago]]></category>
		<category><![CDATA[Community Areas]]></category>
		<category><![CDATA[Foreclosure]]></category>
		<category><![CDATA[Lending Fact Book]]></category>
		<category><![CDATA[Neighborhoods]]></category>
		<category><![CDATA[Woodstock Institute]]></category>

		<guid isPermaLink="false">http://geospatial.edublogs.org/?p=221</guid>
		<description><![CDATA[http://www.woodstockinst.org/
Woodstock Institute is a nonprofit organization and a strong advocate of housing issues in Chicago. The organization has been collecting foreclosure data in the Chicago metropolitan area. The foreclosure data is now accessible through the Woodstock Institute&#8217;s website and also through Everyblock Chicago website (http://chicago.everyblock.com/foreclosures/).
The NU Library owns the Woodstock&#8217;s Chicago Area Community Lending Fact [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>United States : HUD Neighborhood Stabilization Program Data</title>
		<link>http://geospatial.edublogs.org/2009/06/29/united-states-hud-neighborhood-stabilization-program-data/</link>
		<comments>http://geospatial.edublogs.org/2009/06/29/united-states-hud-neighborhood-stabilization-program-data/#comments</comments>
		<pubDate>Mon, 29 Jun 2009 22:37:57 +0000</pubDate>
		<dc:creator>cmaene</dc:creator>
				<category><![CDATA[Housing, US]]></category>
		<category><![CDATA[Foreclosure]]></category>
		<category><![CDATA[Housing]]></category>
		<category><![CDATA[HUD]]></category>
		<category><![CDATA[Neighborhood Stabilization Program]]></category>
		<category><![CDATA[Neighborhoods]]></category>

		<guid isPermaLink="false">http://geospatial.edublogs.org/?p=220</guid>
		<description><![CDATA[http://www.huduser.org/Datasets/nsp_foreclosure_data.html
HUD&#8217;s Neighborhood Stabilization Program (NSP) local level foreclosure data is a statistically generated dataset to estimate a foreclosure rate as small as at a tract level. The data was created, under a new law, Economic Recovery Act of 2008, to assist local efforts to sustain high risk neighborhoods by acquiring and redeveloping foreclosed properties. Since [...]]]></description>
		<wfw:commentRss>http://geospatial.edublogs.org/2009/06/29/united-states-hud-neighborhood-stabilization-program-data/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>World : UNEP/GRID Sioux Falls Spatial Data Clearinghouse</title>
		<link>http://geospatial.edublogs.org/2009/06/16/world-unep-grid-spatial-data-clearinghouse/</link>
		<comments>http://geospatial.edublogs.org/2009/06/16/world-unep-grid-spatial-data-clearinghouse/#comments</comments>
		<pubDate>Wed, 17 Jun 2009 00:10:39 +0000</pubDate>
		<dc:creator>cmaene</dc:creator>
				<category><![CDATA[Afghanistan]]></category>
		<category><![CDATA[Algeria]]></category>
		<category><![CDATA[Angola]]></category>
		<category><![CDATA[Argentina]]></category>
		<category><![CDATA[Armenia]]></category>
		<category><![CDATA[Azerbaijan]]></category>
		<category><![CDATA[Bahamas]]></category>
		<category><![CDATA[Bahrain]]></category>
		<category><![CDATA[Bangladesh]]></category>
		<category><![CDATA[Belize]]></category>
		<category><![CDATA[Benin]]></category>
		<category><![CDATA[Bhutan]]></category>
		<category><![CDATA[Bolivia]]></category>
		<category><![CDATA[Botswana]]></category>
		<category><![CDATA[Brazil]]></category>
		<category><![CDATA[Brunei]]></category>
		<category><![CDATA[Burkina Faso]]></category>
		<category><![CDATA[Burundi]]></category>
		<category><![CDATA[Cambodia]]></category>
		<category><![CDATA[Cameroon]]></category>
		<category><![CDATA[Cape Verde]]></category>
		<category><![CDATA[Central African Republic]]></category>
		<category><![CDATA[Chad]]></category>
		<category><![CDATA[Chile]]></category>
		<category><![CDATA[China]]></category>
		<category><![CDATA[Colombia]]></category>
		<category><![CDATA[Congo]]></category>
		<category><![CDATA[Costa Rica]]></category>
		<category><![CDATA[Cuba]]></category>
		<category><![CDATA[Cyprus]]></category>
		<category><![CDATA[Côte d'Ivoire]]></category>
		<category><![CDATA[Djibouti]]></category>
		<category><![CDATA[Dominica]]></category>
		<category><![CDATA[Dominican Republic]]></category>
		<category><![CDATA[Ecuador]]></category>
		<category><![CDATA[Egypt]]></category>
		<category><![CDATA[El Salvador]]></category>
		<category><![CDATA[Equatorial Guinea]]></category>
		<category><![CDATA[Eritrea]]></category>
		<category><![CDATA[Ethiopia]]></category>
		<category><![CDATA[French Guiana]]></category>
		<category><![CDATA[Gabon]]></category>
		<category><![CDATA[Gambia]]></category>
		<category><![CDATA[Georgia]]></category>
		<category><![CDATA[Ghana]]></category>
		<category><![CDATA[Guadeloupe]]></category>
		<category><![CDATA[Guatemala]]></category>
		<category><![CDATA[Guinea]]></category>
		<category><![CDATA[Guinea-Bissau]]></category>
		<category><![CDATA[Guyana]]></category>
		<category><![CDATA[Haiti]]></category>
		<category><![CDATA[Honduras]]></category>
		<category><![CDATA[Hong Kong]]></category>
		<category><![CDATA[India]]></category>
		<category><![CDATA[Indonesia]]></category>
		<category><![CDATA[Iran]]></category>
		<category><![CDATA[Iraq]]></category>
		<category><![CDATA[Israel]]></category>
		<category><![CDATA[Jamaica]]></category>
		<category><![CDATA[Japan]]></category>
		<category><![CDATA[Jordan]]></category>
		<category><![CDATA[Kazakhstan]]></category>
		<category><![CDATA[Kenya]]></category>
		<category><![CDATA[Kuwait]]></category>
		<category><![CDATA[Kyrgyzstan]]></category>
		<category><![CDATA[Laos]]></category>
		<category><![CDATA[Lebanon]]></category>
		<category><![CDATA[Lesotho]]></category>
		<category><![CDATA[Liberia]]></category>
		<category><![CDATA[Libya]]></category>
		<category><![CDATA[Madagascar]]></category>
		<category><![CDATA[Malawi]]></category>
		<category><![CDATA[Malaysia]]></category>
		<category><![CDATA[Maldives]]></category>
		<category><![CDATA[Mali]]></category>
		<category><![CDATA[Mauritania]]></category>
		<category><![CDATA[Mexico]]></category>
		<category><![CDATA[Mongolia]]></category>
		<category><![CDATA[Montserrat]]></category>
		<category><![CDATA[Morocco]]></category>
		<category><![CDATA[Mozambique]]></category>
		<category><![CDATA[Myanmar]]></category>
		<category><![CDATA[Namibia]]></category>
		<category><![CDATA[Nepal]]></category>
		<category><![CDATA[Nicaragua]]></category>
		<category><![CDATA[Niger]]></category>
		<category><![CDATA[Nigeria]]></category>
		<category><![CDATA[North Korea]]></category>
		<category><![CDATA[Oman]]></category>
		<category><![CDATA[Pakistan]]></category>
		<category><![CDATA[Palestine]]></category>
		<category><![CDATA[Panama]]></category>
		<category><![CDATA[Papua New Guinea]]></category>
		<category><![CDATA[Paraguay]]></category>
		<category><![CDATA[Peru]]></category>
		<category><![CDATA[Philippines]]></category>
		<category><![CDATA[Population]]></category>
		<category><![CDATA[Puerto Rico]]></category>
		<category><![CDATA[Qatar]]></category>
		<category><![CDATA[Rwanda]]></category>
		<category><![CDATA[Saint Lucia]]></category>
		<category><![CDATA[Saint Vincent and the Grenadines]]></category>
		<category><![CDATA[Saudi Arabia]]></category>
		<category><![CDATA[Senegal]]></category>
		<category><![CDATA[Siberia]]></category>
		<category><![CDATA[Sierra Leone]]></category>
		<category><![CDATA[Singapore]]></category>
		<category><![CDATA[Somalia]]></category>
		<category><![CDATA[South Africa]]></category>
		<category><![CDATA[South Korea]]></category>
		<category><![CDATA[Sri Lanka]]></category>
		<category><![CDATA[Sudan]]></category>
		<category><![CDATA[Suriname]]></category>
		<category><![CDATA[Swaziland]]></category>
		<category><![CDATA[Syria]]></category>
		<category><![CDATA[Taiwan]]></category>
		<category><![CDATA[Tajikistan]]></category>
		<category><![CDATA[Tanzania]]></category>
		<category><![CDATA[Thailand]]></category>
		<category><![CDATA[Togo]]></category>
		<category><![CDATA[Trinidad and Tobago]]></category>
		<category><![CDATA[Tristan da Cunha]]></category>
		<category><![CDATA[Tunisia]]></category>
		<category><![CDATA[Turkey]]></category>
		<category><![CDATA[Turkmenistan]]></category>
		<category><![CDATA[Uganda]]></category>
		<category><![CDATA[United Arab Emirates]]></category>
		<category><![CDATA[Uruguay]]></category>
		<category><![CDATA[Uzbekistan]]></category>
		<category><![CDATA[Venezuela]]></category>
		<category><![CDATA[Vietnam]]></category>
		<category><![CDATA[Virgin Islands]]></category>
		<category><![CDATA[Yemen]]></category>
		<category><![CDATA[Zaire]]></category>
		<category><![CDATA[Zambia]]></category>
		<category><![CDATA[Zanzibar]]></category>
		<category><![CDATA[Zimbabwe]]></category>
		<category><![CDATA[Boundaries]]></category>
		<category><![CDATA[Grid]]></category>
		<category><![CDATA[Soils]]></category>
		<category><![CDATA[Terrain]]></category>
		<category><![CDATA[UN]]></category>
		<category><![CDATA[UNEP]]></category>
		<category><![CDATA[USGS]]></category>
		<category><![CDATA[Vegetation]]></category>

		<guid isPermaLink="false">http://geospatial.edublogs.org/?p=219</guid>
		<description><![CDATA[http://na.unep.net/datasets/datalist.php
The United Nations Environment Programme (UNEP) / Global Resource Information Database (GRID) Spatial Data Clearinghouse offers a variety of global and international spatial datasets.
Datasets available are:

Africa Population Distribution Database &#8211; years 1960, 70, 80, 90 &#38; 2000
Asia Population Distribution Database &#8211; year 1995
Asia Administrative Boundaries &#8211; years vary
Asia Towns/Cities point data with population &#8211; 1995 [...]]]></description>
		<wfw:commentRss>http://geospatial.edublogs.org/2009/06/16/world-unep-grid-spatial-data-clearinghouse/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>New Zealand : GNS QMAP Geological Maps, Free Downloads</title>
		<link>http://geospatial.edublogs.org/2009/06/16/new-zealand-gns-qmap-geological-maps-free-downloads/</link>
		<comments>http://geospatial.edublogs.org/2009/06/16/new-zealand-gns-qmap-geological-maps-free-downloads/#comments</comments>
		<pubDate>Tue, 16 Jun 2009 23:09:19 +0000</pubDate>
		<dc:creator>cmaene</dc:creator>
				<category><![CDATA[New Zealand]]></category>
		<category><![CDATA[Geological Survey]]></category>
		<category><![CDATA[GNS]]></category>
		<category><![CDATA[Institute of Geological and Nuclear Sciences]]></category>
		<category><![CDATA[Maps]]></category>
		<category><![CDATA[Raster]]></category>

		<guid isPermaLink="false">http://geospatial.edublogs.org/?p=218</guid>
		<description><![CDATA[http://www.gns.cri.nz/research/qmap/qmapproducts.html#downloads
QMAPs, 1:250,000 geological maps of New Zealand, are georeferenced raster map by the Institute of Geological and Nuclear Sciences (GNS.) Not all map sheets are completed yet, but finished coverages are now available for free downloading.
]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>United States : Consumer Expenditure/Purchasing Power Tracts &amp; Zipcodes Data</title>
		<link>http://geospatial.edublogs.org/2009/06/15/united-states-consumer-expenditure-purchasing-power-data/</link>
		<comments>http://geospatial.edublogs.org/2009/06/15/united-states-consumer-expenditure-purchasing-power-data/#comments</comments>
		<pubDate>Mon, 15 Jun 2009 23:30:44 +0000</pubDate>
		<dc:creator>cmaene</dc:creator>
				<category><![CDATA[Business & Marketing, US]]></category>
		<category><![CDATA[Applied Geographic Solution]]></category>
		<category><![CDATA[BLS]]></category>
		<category><![CDATA[Consumer Expenditure Survey]]></category>
		<category><![CDATA[Consumer Spending]]></category>
		<category><![CDATA[ESRI]]></category>
		<category><![CDATA[ETI]]></category>
		<category><![CDATA[Geolytics]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[Purchasing Power]]></category>
		<category><![CDATA[UWM]]></category>

		<guid isPermaLink="false">http://geospatial.edublogs.org/?p=216</guid>
		<description><![CDATA[http://www4.uwm.edu/eti/PurchasingPower/purchasing.htm
[Image left: Estimated annual expenditures for food away home per square mile, Metro Chicago by zipcode - click on the image to enlarge.]
What marketing people are very interested in is learning consumer&#8217;s spending patterns. The main data source for this is Bureau of Labor Statistics (BLS)&#8217;s , Consumer Expenditure (CE) Survey, which is available only [...]]]></description>
		<wfw:commentRss>http://geospatial.edublogs.org/2009/06/15/united-states-consumer-expenditure-purchasing-power-data/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>United States : USDA NASS Cropland Data Layer (CDL)</title>
		<link>http://geospatial.edublogs.org/2009/06/15/united-states-usda-nass-cropland-data-layer-cdl/</link>
		<comments>http://geospatial.edublogs.org/2009/06/15/united-states-usda-nass-cropland-data-layer-cdl/#comments</comments>
		<pubDate>Mon, 15 Jun 2009 22:01:09 +0000</pubDate>
		<dc:creator>cmaene</dc:creator>
				<category><![CDATA[Agriculture, US]]></category>
		<category><![CDATA[Landuse & Landcover, US]]></category>
		<category><![CDATA[CDL]]></category>
		<category><![CDATA[Cropland]]></category>
		<category><![CDATA[Crops]]></category>
		<category><![CDATA[Landcover]]></category>
		<category><![CDATA[Landuse]]></category>
		<category><![CDATA[NASS]]></category>
		<category><![CDATA[NLCD]]></category>
		<category><![CDATA[USDA]]></category>

		<guid isPermaLink="false">http://geospatial.edublogs.org/?p=215</guid>
		<description><![CDATA[http://www.nass.usda.gov/research/Cropland/SARS1a.htm
(Note 1: CDL is available for selected states only. Note 2: CDL data prior to 2007 is available at the Geospatial Data Gateway)
Cropland Data Layer (CDL) is a raster data set showing types of agricultural products grown on the land. The land use/cover analysis was conducted using satellite imagery and remote sensing analysis software (so [...]]]></description>
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		<slash:comments>0</slash:comments>
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