Clark Labs - Meeting the Challenges of Environmental Decision Making with GIS
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Accuracy Assessment

  • Create random, spatially stratified and systematic point sample sets.
  • Produce an error matrix analysis of categorical map data compared to ground truth information. Tabulate errors of omission and commission, marginal and total error, and selected confidence intervals. Per-category Kappa Index of Agreement figures are also provided.
 
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IDRISI has tools for the validation of classified maps to reality including cross tabulation and error matrix analysis. Validation of Maps

 

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