Selected CV XE GIS project/applications focused on the Washington, DC area.
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• | accessing, integrating & using geographic, demographic, economic data |
• | decision-making information resources & solutions. |
This section is focused on integrating Census 2010 TIGER Shapefiles with Census 2010, ACS and related data.
See also Washington, DC Census 2010 and ACS Demographic-Economic Patterns.
Illustrating use of building footprint detail: building polygons Orange fill pattern: White House & Capitol Building Building data layer developed by District of Columbia Office of the Chief Technology Officer |
Washington-Arlington-Alexandria, DC-VA-MD-WV MSA and Baltimore-Towson, MD MSA shown by dotted boundary. County/county equivalent component areas shown with yellow labels.
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Illustrates DC detailed Roads, regional Interstates, military, water, and landmark areas.
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Illustrates thematic pattern view -- median household income by census tract in context of related geography. Illustrates adding retail store locations for further analysis (circle & square markers) Symbol/marker pattern to show location of military areas.
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CV is used to geocode the list of Washington Post (May 2009) top 200 businesses in the Washington, DC area. The CV FindAddress[batch] is an ideal tool for this task. The list of addresses is simply placed into a text file. The resulting geocoded file is a shapefile that can be added as a layer (to a CV project) enabling viewing the locations on a map. Partial list example:
The FindAddress[batch] is started and the text file name supplied. The rest is automatic; a shapefile is created. The resulting shapefile is added to a project (used to display next view).
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Illustrates using a different marker style -- symbol (font symbol) instead of circle for top 200 locations. White House polygon shown with orange fill pattern.
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Walmart: blue box marker; Walgreens: red circle marker. Store locations geocoded using CV then resulting shapefiles added as layers. MSAs shown with dotted black boundaries.
See more about Major Retail Store Locations data -- http://proximityone.com/mrsl.htm.
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