Tag Archives: grocery stores

Location-Based Demographics Update

.. 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.

Analyzing Competitive Position: Trader Joe’s & Whole Foods

.. at $3.99 for Triple Ginger Snaps, it doesn’t seem that you can go wrong … this is a Trader Joe’s product that is configured correctly, priced right, conveniently available and positioned as part of a related broader mix of products (how about Dark Chocolate Covered Caramels at $3.99?). Product attributes are one element that need to be considered in business data analytics.

Business Data Analytics can help any business more effectively reach goals and objectives. Whether a new or established business, serving a county or national market, similar tools and methods apply. This section illustrates GIS views taken from the associated GIS project and datasets. These analytical depictions can be developed for any organization and facilitate strategic planning and decision-making.

Trader Joe’s & Whole Foods
Here we take a look at Trader Joe’s and Whole Foods stores in context of GIS analyses and market characteristics.  The following graphic shows Trader Joe’s and Whole Foods locations in the Washington, DC area.

— view created using CV XE GIS and associated Business Patterns GIS Project
— click graphic for larger showing details.

Trader Joe’s & Whole Foods on a National Scale
How do the competitive relationships look on a national scale? See the comparison graphics below. Using GIS project and tools, show the Trader Joe’s location above the Whole Foods layer — or vice-versa. Using the GIS project and tools, zoom into any location.

Trader Joe’s layer shown above Whole Foods layer

Whole Foods layer shown above Trader Joe’s layer

Market Characteristics — Higher Income Households
Back to the DC area … the following graphic shows patterns of the number of households by tract with a household income of $200,000 or more. The number of households having $200,000 and higher household income intervals/color correspondence shown in legend at left of the map. Using GIS data and tools, ranges can be customized/shifted to suit. Similarly, the number of households by different income levels can be set. Select from hundreds of relevant subject matter items.

— view created using CV XE GIS and associated Business Patterns GIS Project
— click graphic for larger showing details.

Helping Your Organization Thrive
  — Enhancing Your Data Analytics Skills

Join me at the upcoming Business Data Analytics Workshop to be held in Alexandria, VA on December 1, 2015. Get experience with computer hands-on data and data analytics tools and methods. Network with peers having similar interests. Register here.

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.