Tapestry segment descriptions can be found here..http://www.esri.com/library/brochures/pdfs/tapestry-segmentation.pdf For more than 30 years, companies, agencies, and organizations have used segmentation to divide and group their consumer markets to more precisely target their best customers and prospects. This targeting method is superior to using “scattershot” methods that might attract these preferred groups. Segmentation explains customer diversity, simplifies marketing campaigns, describes lifestyle and lifestage, and incorporates a wide range of data. Segmentation systems operate on the theory that people with similar tastes, lifestyles, and behaviors seek others with the same tastes—“like seeks like.” These behaviors can be measured, predicted, and targeted. Esri’s Tapestry Segmentation system combines the “who” of lifestyle demography with the “where” of local neighborhood geography to create a model of various lifestyle classifications or segments of actual neighborhoods with addresses—distinct behavioral market segments. The tapestry segmentation is almost comical in the sense that it trys to describe such small details of individuals daily lives just by analyzing the data provided on your CENSUS form. These segements are not only ideal for marketing and targeting lifestyles within a geographic location, but they are fun to read. Take the time to find out which segment you live in!

This data was formed by a combination of heads up digitization and data collection using a hand held GPS unit by staff of the UT Chattanooga ARCS. Geospatial data creation was completed 6/4/2012.

This data was collected and then edited and/or checked for accuracy by staff of the UT Chattanooga ARCS. Geospatial data creation was completed 8/20/11.

This data was provided by the Chattanooga Bicycle Transit System Station Map. This data was collected and then edited and/or checked for accuracy by staff of the UT Chattanooga ARCS. Geospatial data creation was completed 6/4/2012. Updated 0501/2014

This data was collected and then edited and/or checked for accuracy by staff of the UT Chattanooga ARCS. Geospatial data creation was completed 6/18/2012.

This layer was taken from a national data set of school locations. It includes public and private schools. . The private and public schools were designated private by researching their website or sites related to finding private schools. . The national dataset was clipped to only include schools within the boundary of the Regional Resources Inventory. Any schools designated as "historic" have been removed from this dataset to make it more efficient for modern day analysis. U.S. Geographic Names Information System Schools represents the Federal standard for geographic nomenclature and contains information about the proper names and locations of physical and cultural geographic features located throughout the United States and its Territories. The U.S. Geological Survey developed the Geographic Names Information System (GNIS) for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public.

A list of address locations of disc golf courses was compiled. Addresses were geocoded using 10.0 US Streets Geocode Service and checked for accuracy by staff at UT Chattanooga ARCS. Geospatial data creation was completed 6/4/2012.

A list of address locations of entertainment venues was compiled. Addresses were geocoded using 10.0 US Streets Geocode Service and checked for accuracy by staff at UT Chattanooga ARCS. Geospatial data creation was completed 6/4/2012.

U.S. National Transportation Atlas Railroads represents a comprehensive database of the nation's railway system at 1:100,000 scale. The data set covers the 48 contiguous States plus the District of Columbia within United States. The railroad paths of this layer have been clipped to only include railroad paths within the Regional Resources Inventory boundary.

This data was collected and then edited and/or checked for accuracy by staff of the UT Chattanooga ARCS. Also, this data was formed by a combination of heads up digitization and data collection using a hand held GPS unit by staff of the UT Chattanooga ARCS. Geospatial data creation was completed 6/18/2012.