TY - JOUR
T1 - Development and test of an error model for categorical data
AU - Goodchild, Michael F.
AU - Guoqing, Sun
AU - Ren, Yang Shi
N1 - Funding Information:
The National Center for Geographic Information and Analysis is supported by the National Science Foundation, grant SES 88-10917. This research constitutes part of the Center's Research Initiative 1 on Accuracy of Spatial Databases. Financial support of the US Geological Survey is also acknowledged, as is a gift of computing time at IBM Corporation's Palo Alto facility for the large matrix inversions.
PY - 1992
Y1 - 1992
N2 - An error model for spatial databases is defined here as a stochastic process capable of generating a population of distorted versions of the same pattern of geographical variation. The differences between members of the population represent the uncertainties present in raw or interpreted data, or introduced during processing. Defined in this way, an error model can provide estimates of the uncertainty associated with the products of processing in geographical information systems. A new error model is defined in this paper for categorical data. Its application to soil and land cover maps is discussed in two examples: the measurement of area and the measurement of overlay. Specific details of implementation and use are reviewed. The model provides a powerful basis for visualizing error in area class maps, and for measuring the effects of its propagation through processes of geographical information systems.
AB - An error model for spatial databases is defined here as a stochastic process capable of generating a population of distorted versions of the same pattern of geographical variation. The differences between members of the population represent the uncertainties present in raw or interpreted data, or introduced during processing. Defined in this way, an error model can provide estimates of the uncertainty associated with the products of processing in geographical information systems. A new error model is defined in this paper for categorical data. Its application to soil and land cover maps is discussed in two examples: the measurement of area and the measurement of overlay. Specific details of implementation and use are reviewed. The model provides a powerful basis for visualizing error in area class maps, and for measuring the effects of its propagation through processes of geographical information systems.
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U2 - 10.1080/02693799208901898
DO - 10.1080/02693799208901898
M3 - Article
AN - SCOPUS:0027079780
SN - 0269-3798
VL - 6
SP - 87
EP - 104
JO - International Journal of Geographical Information Systems
JF - International Journal of Geographical Information Systems
IS - 2
ER -