Relating Addresses to Digital Road Segments

.. enter an address on a Google Maps page, or many other similar Web-based “find address” tools, and view that address on a map. View street detail easily. But a view of the digital road segment is not available. Answers to these questions are not available:
• what are the demographic-economic attributes for that location?
• what are the left and right side address ranges for that road segment?
• what are the geocodes on the left and right sides of that road segment?
• what are the end-point coordinates for the road segment?
• how does that road segment (the route) extend through the city or county?

Use methods described in this section to answer these types of questions and examine “Address to Digital Road Segment” relationships. An example is used that features an address shown as a red marker in the banner graphic at the top of this page (Kansas City, MO area). That address is also used in the interactive data access form below. Use these resources and methods for most addresses in the U.S. Tools reviewed here are available at no fee. Use related Web section for full functionality.

Viewing Address/Location in Context of Digital Roads
In the following graphic, a geocoded address (point shapefile) is shown as a red marker (see pointer) in context of roads (streets/lines shapefile). The Identify tool is used to show the profile of associated road segment (TLID=91447676) — an intersection to intersection segment of Oak St. Performing a query on the roads shapefile/layer to locate ID 91447676, the segment is displayed as yellow-highlighted. This application/view is reviewed in this section.

Finding Address Attributes
Use the form below to find attributes for an address. To get started, click the Find button with default settings. Results are returned/displayed on this same page. More in general, key in an address of interest, select the type of geography (more about this below) and click Find. Try your own addresses of interest; use this tool to meet recurring address lookups. Not clear on all the steps? Join us in a Data Analytics Lab session, get answers to questions.

Click following graphic for full functionality:

About the Data Content and Structure
When the Find button (above) is clicked, this page refreshes with returned data based on your query — the values entered/selected in the section above the Find button. The first portion of the data displayed provide a structured display of selected subject matter items (ACS 5-year estimates) for the type of geography selected (e.g. tracts) for that area in which the address is located. The scope of those items could be substantially expanded.

Following that portion of the display are the geographic attributes displayed as JSON output resulting from the geocoder processing of the address. This is the display content below the text “Summary of address sent and matched results:”.

Road Segment Attributes
See road segment attributes for this address under “Summary of address sent and matched results:” and “Address: {“. See that the road segment ID is shown by “tigerLineId”: “91447676”. This ID uniquely identifies this road segment among all of the more than 45 million road segments in the U.S. (see more detail in related section).

Viewing the Address with GIS Tools
1. Install CV XE GIS software (if already installed, skip step 1).
.. Install package — Windows 32/64
.. Start-up Readme
2. After installation, with CV XE GIS running, open a GIS project:
.. Use File>Open>Dialog and open the GIS project named c:\cvxe\1\cvxe_us2.gis. Perform these steps:
2.1. In the Legend Panel, uncheck layers $MHI x BG and Locations.
2.2. Use the Add Layer button to add the layer c:\cvxe\1\$$address1.shp.
.. address used in this application now appears as red marker
.. this single point shapefile was created using the CV XE Tools>FindAddress
2.3. In Legend Panel, check layer Jackson Cty MO roads.
.. now, all roads in the county can be viewed with marker.
.. optionally zoom-in to develop view like shown at top of this page.

.. view developed with ProximityOne CV XE GIS and related GIS project.

2.4. Use GIS Tools>FindShape tool to show all occurrences of “Oak St”
.. on the FindShape form the FULLNAME field is selected and set to “like” Oak St% .. all road segments having name like “Oak St%” are highlighted in yellow.

.. view developed with ProximityOne CV XE GIS and related GIS project.

2.5. Use GIS data table feature to show all occurrences of “Oak St” as table.
.. there are 155 road segment, shown in the next graphic with left and right-side address ranges .. optionally export for use in other applications.

Not clear on all the steps? Join us in a Data Analytics Lab session, get answers to questions.

Census Block Code
See section starting with “2010 Census Blocks”. In the default address run, the census block shows as “GEOID”: “290950066002016”: … state: 29 … county: 095 … tract: 006600 … block: 2016. Other items, such as the TIGER/Line segment ID and segment side, can also be important for some applications.

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.

Join me in a Data Analytics Lab session to discuss more details about analyzing citizen voting age population and use of data analytics to develop further detail related to your 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.

Leave a Reply

Please log in using one of these methods to post your comment: Logo

You are commenting using your account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s