1. GIS Modeling 2007 Fall 10-31-07

2. Classification of GIS Models Definition A: –Descriptive Model – describes the existing conditions of spatial data, such as vegetation map. –Prescriptive Model – predict what conditions could (should) be, such as a potential natural vegetation map. Definition B: –Deductive: conclusion derived from a set of premises (such as physical laws, equations), LULC models –Inductive: from empirical or observation data, soil loss from past records.

3. Classification of GIS Model - 2 Definition C: –Deterministic: no uncertainty –Stochastic (probabilistic or statistical): involves measures of error or uncertainty, like Kriging method described earlier. Definition D: –Static: state of spatial data at a given time. –Dynamic: change over time, such as groundwater pollution or weather change maps are typical dynamic model.

4. Modeling Process Define Questions Define properties of elements and interactions be/w them Implementation and Calibration

5. Binary Models Vector-based Raster-based

6. Index Models Produces index values instead of Yes/No -- Weighted Linear Combination: vector/raster

7. Happy Halloween