.. tools you can use to examine characteristics of addresses/locations .. many of us are interested in knowing attributes of addresses or locations. Often knowing address latitude-longitude is important so that the addresses can be viewed on a map .. see below. Some might need to know what census block, or other geography, in which an address is located .. or what school district is an address located in. Others need to know demographic-economic attributes of the neighborhood or area where an address is located. These types of attributes can be obtained for addresses using the Location-Based Demographic (LBD) tools. The LBD tool has just been made a part of the CV XE GIS software. The LBD tool is available in all versions of CV XE GIS, including the no fee User Group version. See more about using the LBD tools to look-up and analyze address/location attributes.
Viewing Geocoded Addresses on a Map – automatically
The following view shows addresses geocoded using the LBD tool. Markers show addresses of 27 Trader Joe’s locations in the Los Angeles area. LBD automatically creates a shapefile that is added to your GIS project. The markers are labeled with population ages 18 and over in the corresponding census tract. Marker color/styles reflect different levels of median household income. A separate census tract layer shows patterns of economic prosperity.
Click graphic for larger view. Expand browser window. A mini profile is displayed showing demographic-economic attributes for the marker at pointer.
View the locations without the tract thematic pattern layer:
Make similar views for your addresses.
Get Started Using the LBD Tool
1 – join the User Group .. click here to join (no fee).
2 – run the installer to install on a Windows machine .. requires your userid.
3 – with CV XE GIS running, click Tools>Find Address/LBD
enter an address .. a form appears showing characteristics of the address.
4 – see more about using the tools on the LDB page.
GeoStatistical Data Analytics Learning Sessions
We are developing a series of “GeoStatistical Data Analytics” (GSDA) Learning Sessions/modules. One of these is focused on using the LBD tools and methods in the broader context of data analytics. We plan to develop the GSDA models for self-guided use by analysts/practitioners as well as in the classroom setting with teacher/student materials. Upcoming blog posts will describe the program in more detail.
Data Analytics Web Sessions
Join me in a Data Analytics Web Session, every Tuesday, where we review access to and use of data, tools and methods relating to GeoStatistical Data Analytics Learning. We review current topical issues and data — and how you can access/use tools/data to meet your needs/interests.
About the Author
Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.
Posted in American Community Survey, API, Atlanta demographic economic characteristics, Block Groups, CA San Francisco, Census Bureau, Census Tracts, CV XE GIS, data analytics, DC Washington, Geocoding, Geographic Information Systems, Geography, GIS, Healthcare, Honolulu, Hawaii, Housing Market, Maps, Median Household Income, Shapefile, Site Analysis, TIGER/Line
Tagged CV XE GIS, Demographics, GIS, grocery stores, LBD, location based analysis, Location-Based Demographics, pattern analysis, store locations
.. have you wondered how Web sites determine the demographic-economic attributes for a location/address? Are those data for the corresponding block group, census tract, city or something else? Was it the “ZIP code area”? These areas can be 100,000 population or more making them so large that alternative geographies might be preferred. Often those important particulars — which geography and data sourcing — are vague or unknown. This section reviews use of the interactive Location-Based Demographics Tool to access data for a location based multiple, alternative types of address “container areas”. See more details in this related web section.
Any given address or location is contained with several types of statistical areas (e.g. census tract or block group) and political areas (e.g. city or county). We may want to know the demographic-economic characteristics of a location for any one or several of these geographies. Use the interactive tool on this page to access those data. For example, access/view the median household income of the location/address block group or the median household income the location/address city. Key in the address of interest, select the type of geography and click Find — see graphic below. The results are displayed on the same page.
Click this graphic to view address entry form
Profile for Census Tract
When Tract is selected as Type of Area, this profile is displayed:
(median household income is $118,827)
Profile for Block Group
When Block Group is selected as Type of Area, this profile is displayed:
(median household income is $139,342)
Creating Maps for These Geographies
See this related web section about using the MapCompiler to create map views for these block group and census tract areas in the vicinity of the default address used above (1 Infinite Loop, Cupertino, CA). Use the CV XE MapCompiler (GeoGateway feature) to create similar maps for any area of interest.
About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data.
Posted in Block Groups, CA San Jose, CA Santa Clara County, CA Sunnyvale, Census Tracts, Counties, Geographic Information Systems, Geography, Maps, Patterns, Site Analysis, TIGER/Line, Uncategorized
Tagged 1 Infinite Loop, American Community Survey, Block Groups, Census Tracts, geocoding, interactive data access, Location-Based Demographics, site analysis