Tag Archives: pattern maps

Analyzing Block Group Demographics

.. tools & data to analyze sub-census tract households, education, income, housing, more … Block Groups, subdivisions of census tracts, are the smallest geographic areas for which “richer demographics” are developed by the Census Bureau. Block group demographic-economic estimates, based on Census 2010 geography, are annually updated beginning with American Community Survey (ACS) 2010. The latest ACS estimates for these 217,740 areas covering U.S. wall-to-wall are from ACS 2015. The ACS 2016¬†update will be released in December 2017. ¬†See the related Web section for more detail about accessing and using block group geography and demographic-economic data.

Patterns of Economic Prosperity by Block Group
The following graphic shows patterns of median household income by block group in the Houston, TX area. Markers show block groups with 10 or more housing units having value of $2 million or more. Markers are labeled with the number of housing units having value of $2 million or more in that block group. Click graphic for larger view, more detail and legend color/data intervals. This map illustrates the geographic level of detail available using block group demographics and the relative ease to gain insights using geospatial data analytics tools.

– View developed using CV XE GIS and related GIS project.

Block Group Demographic-Economic Data & Shapefiles
… selection of key demographic-economic attributes; annual update
… subject matter categories include:
  • Total population>
  • Population by gender iterated by age
  • Population by race/origin
  • Households by type of household
  • Educational attainment by detailed category
  • Household Income by detailed category
  • Housing units by owner/renter occupancy
  • Housing units by units in structure
  • Housing units by detailed value intervals

See the related Web section for a detailed list of items.

Use these Data on Your Computer
Use the above U.S. national scope dataset with your own software or in ready-to-use GIS projects with the CV XE GIS software.

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications 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. Contact Warren. Join Warren on LinkedIn.

Creating Thematic Pattern Maps

Decision-making can be influenced by a thematic pattern map that conveys a strong message. Thematic pattern maps can often transcend spoken language and facilitate communication on an issue. The speed at which humans consume and interpret visual information is far faster than possible with tabular data presentation. Our ability to recall a visual message/graphic exceeds that of recalling tabular data. See corresponding Web section.

An important feature of GIS tools is the ability to modify the appearance of a thematic pattern view. A thematic pattern view is a rendering of the data by colors and patterns to reflect different data values. The flexibility to perform these operations is often not available in Web-based mapping tools. Desktop GIS tools offer more control over using the data and performing geospatial analyses. The ability to change the pattern appearance may be desired to show different colors/patterns representing data values and/or change a data value range corresponding to a color/pattern.

This section builds on the U.S. by County & State Daytime Population GIS project (view that section) and illustrates steps that you can use to modify the appearance of the thematic pattern. The GIS project can be downloaded and used with GIS tools as described in that section.

Visual Analysis of County Employment-Residence Ratio Patterns
The following graphic shows patterns of the Employment-Residence (E-R) Ratio by county for the Atlanta area (Atlanta metro bold outline). See more about the E-R Raiot.

View created with CV XE GIS. Click graphic for larger view.

Modifed Pattern View
The next view shows patterns with a different range of values. See color pattern/data ranges in legend panel at left of map. Comparing the view below to the one above, the number of intervals has been reduced from five to three and interval values have been modified. We might want to make this change to have a view that shows more succinctly which counties have an E-R value greater than 1 versus less than 1. To account for counties that are close to the value of 1, a narrow mid-range section/interval is used. Is the view presented below “better” than the view shown above? The bold red and blue in the upper view are more dramatic. But the issue here is less on making the most impactful view and more on the mechanics of how to make changes to the pattern view. There are many factors that go into making the most impactful view, a topic for another time.

Using the Layer Editor to Modify Map Appearance/Pattern View
After installing the CV XE software and the GIS project, the Daytime/E-R Ration project is opened. Next, the CV XE Layer Editor is used to change the appearance of the county E-R layer. To start the Layer Editor, double-click the name “County E-R Ratio” in the legend panel at the left of map (see in view above). The Layer Editor form appears as shown below. Using the Layer Editor, the first step is to modify the Section settings. Two intervals are removed and the range values settings are changed as shown below.

Next, while still in the Layer Editor, click the Area tab to modify colors. The new colors will be a muted blue, lighter yellow and orange (choose any).

Next, in the new settings, the outlines (county polygon boundaries) are all set to black as shown below.

The final step is to click the OK button and the modified view is shown. This action closes the Layer Editor form and the map view is refreshed. See Modified Pattern View shown above. If this view is not as expected, similar steps can be repeated. Exiting CV XE at this point will not save the setting for a project that is subsequently re-started. In this example, the project might be saved with the name (File>Save Project As) “c:\daytime2013\daytime_pop_2013new.gis”. The view shown in the modified version above has been included in the project installer and is named “c:\daytime2013\daytime_pop_2013a.gis”.

Using the Modifed Pattern View
Use the Pan/Drag tool on the toolbar to drag the map view to the Houston area as shown below. In this example, the Metro layer was modified. The CBSAFP (Core-Based Statistical Area FIPS code) value was modified to CBSAFP=’26420′ … changing the code 12060 for the Atlanta metro to 26420 for the Houston metro A view can be created for any area .. one county, any region, a state or the U.S.

The same methods of modifying a view using the Layer Editor can be performed on any shapefile layer in any CV XE GIS project. A related section will illustrate how similar steps can be applied to develop a trend view of demographic change using this same project.

About the Author
— Warren Glimpse, developer of the CV XE GIS software, is former senior Census Bureau statistician responsible for innovative data access and use operations. He is developer of the Columbia, MO GBF/DIME used as the prototype for the Census Bureau TIGER/Line system. 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.