GIS Modeling and Analysis
It is often difficult to visualize or assess changes in natural conditions using a single map alone. In the world of science, observations are recorded as sample parameters. By observing both quantitative and qualitative patterns between parameters, we make assumptions or predictions for the population or the "real world". These predictions are driven by mathematical models and analyses.

GIS provides an efficient an easily scalable platform for spatial analysis and modeling. Modeling and analysis efforts vary depending on the complexity and the degree precision needed for end products. Models and analysis projects take the datasets used in basic GIS mapping and combine them to produce predictions, assessments, quantifications, or classifications. Both standard statistical calculations and advanced algorithms can be incorporated into the modeling process. The freedom to utilize multiple datasets and analysis methods within a single software platform allows for a streamlined process, capable of rapidly displaying mapped results.
A sensitivity model created based on land use, riparian buffer zones, geology, and soils.
Chemical analyses of well water samples
Click to view sample report for viewshed/visibility analysis for a conservation area. (Requires Adobe Acrobat 5.0 or higher)
Groundwater modeling and analysis for former ammunition plant
Watershed disturbance/development sensitivity model
Impervious surface model calculated from land use, road structures, and population data
Impervious surface models for Apalachicola Bay area
Application of the SERGoM Model for housing density estimates
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