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Bayesian Methods Weights of Evidence (continued)

Bayesian Methods Weights of Evidence (continued). RESM 575 Spring 2011 Lecture 6. Today. Weights of evidence review Spatial data modeler (Arc-SDM) demonstration and lab. Summary of weights of evidence. Method is objective, avoids subjective choice of weighting factors

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Bayesian Methods Weights of Evidence (continued)

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  1. Bayesian Methods Weights of Evidence (continued) RESM 575 Spring 2011 Lecture 6

  2. Today • Weights of evidence review • Spatial data modeler (Arc-SDM) demonstration and lab

  3. Summary of weights of evidence • Method is objective, avoids subjective choice of weighting factors • Multiple map patterns can be combined • Process gives insight into spatial data relationships • Output is probability

  4. Summary of weights of evidence • Assumes conditional independence when combining input maps • Only really applicable when the response variable is pretty well known for an area (there are good evidence maps)

  5. Software (free) http://arcscripts.esri.com/details.asp?dbid=15341 Loaded as an ArcToolbox tool (tbx file)

  6. Today’s lab • Focus on creating weights for influence • Response themes • Test for conditional independence

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