The data is average July maximum temperature for the climatological period 1981-2010. The map for Pennsylvania was created from 30 arc-seconds PRISM derived grids. Manual and automated checks were made of the polygons to ensure no two adjacent polygons contained the same RANGE value.

Parameter-elevation Regressions on Independent Slopes Model (PRISM) derived raster data is the underlying data set from which the polygons and vectors were created. PRISM is an analytical model that uses point data and a digital elevation model (DEM) to generate gridded estimates of annual, monthly and event-based climatic parameters.

There are many methods of interpolating parameters such as precipitation and temperature from monitoring stations to grid points. Some provide estimates of acceptable accuracy in flat terrain, but few have been able to adequately explain the extreme, complex variations in precipitation and temperature that occur in mountainous regions. Significant progress in this area has been achieved through the development of PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM is an analytical model that uses point data and a digital elevation model (DEM) to generate gridded estimates of monthly and annual precipitation and temperature (as well as other climatic parameters). PRISM is well suited to regions with mountainous terrain, because it incorporates a conceptual framework that addresses the spatial scale and pattern of orographic processes.

For further information, the online PRISM homepage can be found at http://www.ocs.oregonstate.edu/prism