These tornado paths range from 1951 to 2010. They have been clipped from a national dataset to only include tornadoes within the Regional Resources Inventory boundary. The attributes contain the time, date, and intensity of the tornado while also providing some description of the destruction caused.

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

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.

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 dataset is part of the facilities listed on the EPA's Geodpatial data. To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. The national dataset includes all facilities that are under permit or inspection from National Priorities List, EPA and State Treatment, Storage, and Disposal, Toxic Release inventory, NPDES, Large Quanity Generators, and other statutes. The facilities shown in this dataset have been clipped to only include wastewater and sewage treatment facilities within the boundary of the Regional Resources Inventory.

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. Geospatial data creation was completed 6/18/2012.

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

These fire locations were part of a national dataset but have been clipped to only include locations that occured within the boundary of the Regional Resources Inventory. The attributes provide information on fire intensity as a measure of brightness, and also the date and time of the fire.

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!