QUANTIFICATION ERROR VERSUS LOCATION ERROR IN COMPARISON OF CATEGORICAL MAPS
This paper analyzes quantification error vs. location error in a comparison between 2 cellular maps that show a categorical variable. Quantification error occurs when the quantity of cells of a particular category in a map is different from the quantity of cells of that category in another map. Location error occurs when the location of a category in a map is different from the location of that category in another map. The standard Kappa index of agreement is usually not appropriate for map comparison. This paper offers alternative statistics: 1) proportion correct with perfect ability to specify location; 2) proportion correct with perfect ability to specify quantity; 3) Kappa for no ability; 4) Kappa for location; and 5) Kappa for quantity. These statistics can help scientists improve classification. This paper applies these theoretical concepts to the validation of a land-use change model for the Ipswich Watershed in Massachusetts.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00991112
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Corporate Authors:
American Society for Photogrammetry and Remote Sensing
5410 Grosvenor Lane, Suite 210
Bethesda, MD United States 20814-2160 -
Authors:
- Pontius Jr, R G
- Publication Date: 2000-8
Language
- English
Media Info
- Features: Figures; References; Tables;
- Pagination: p. 1011-16
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Serial:
- Photogrammetric Engineering and Remote Sensing
- Volume: 66
- Issue Number: 8
- Publisher: American Society for Photogrammetry and Remote Sensing
- ISSN: 0099-1112
Subject/Index Terms
- TRT Terms: Geographic information systems; Highway transportation; Land use models; Mapping; Maps; Remote sensing; Transportation planning; Travel; Validation
- Geographic Terms: Ipswich Watershed (Massachusetts)
- Subject Areas: Design; Highways; Planning and Forecasting; I21: Planning of Transport Infrastructure; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 00797657
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 16 2000 12:00AM