Estimating spatial attribute means in a GIS environment |
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Authors: | WANG JinFeng LI LianFa & CHRISTAKOS George Institute of Geographic Sciences & Natural Resources Research Chinese Academy of Sciences Beijing China |
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Institution: | WANG JinFeng1,LI LianFa1 & CHRISTAKOS George2 1 Institute of Geographic Sciences & Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China,2 Department of Geography,San Diego State University,San Diego CA 92182-4493,USA |
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Abstract: | The estimation of geographical attributes is a crucial matter for many real-world problems,and the issue of accuracy stands out when the estimation is used for between-regions comparison.In this work,our concern is area attribute estimation in a GIS environment.We estimate the area attribute value with a mean Kriging technique,and the probability distribution of the estimate is derived.This is the best linear unbiased observed spatial population mean estimate and can be used in more relaxed situations than ... |
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Keywords: | spatial mean mean Kriging spatial dependence GIS |
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