The model output is linked with ARC-GIS to allow spatial and temporal analysis of pathogen distribution across the watershed for specific land use, weather and management scenarios.
Within the GIS, data were added to the polygon shapefile for the United States to allow for the symbolic display of two variables simultaneously.
In order to allow the inclusion of site-specific conditions within the assessment, we implemented GIS-based analyses to identify areas with differing ecosystem potential (EP) into GISCAME.
Ultimately, most GIS-based rexposureal exposure models are intended to allow exposure estimation across large cohorts, and thus we rely on readily-created GIS-based traffic indicators generally available across urban neighborhoods, such as total roadway length measures.
The Raster land-cover data set from Vermont GIS (U.S. Geological Survey 1999) was brought into ArcMap (Environmental Systems Research Institute, Redlands, CA) and was converted to vector data (polygons) to allow clipping of the features for each buffer zone.
The map was transferred to a Geographical Information System (GIS), allowing to drawn up a geomorphologic heritage map of the cave by grouping the geomorphologic features in three categories: natural heritage, cultural heritage and geomorphologic impact features derived from tourist use.
The developed methodology permits to enrich the information usually stored in the GIS platform allowing to supply useful information about suitable sites where micro-wind energy plants can be installed and to assess the production of renewable energy in the urban settings.
Functions like spatial queries and conflict analyses in an integrated GIS environment allow highway engineers to audit and confirm the logic of spatial and temporal relationships between construction-let and maintenance projects scheduled for the same highway section.
The GIS system allows to incorporate into the analysis all the relevant influence factors that are grouped into common perspectives.
