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GIS Modeling

GIS Modeling. 2007 Fall 10-31-07. 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.

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GIS Modeling

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  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

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