A Geostatistical Approach to Linking Geographically Aggregated Data From Different Sources

作者: Carol A Gotway , Linda J Young

DOI: 10.1198/106186007X179257

关键词: CovariateSpatial analysisSmoothingRaster graphicsGeospatial analysisGeographic information systemComputer scienceModifiable areal unit problemData miningGeoprocessing

摘要: The widespread availability of digital spatial data and the capabilities Geographic Information Systems (GIS) make it possible to easily synthesize from a variety sources. More often than not, have been collected at different geographic scales, each scales may be one interest. information systems effortlessly handle these types problems through raster geoprocessing operations based on proportional allocation centroid smoothing techniques. However, techniques do not provide measure uncertainty in estimates lack ability incorporate important covariate that used improve estimates. They also ignore supports (e.g., shape orientation) data. On other hand, statistical solutions change-of-support are rather specific difficult implement. In this article, we present general geostatistical framework for linking da...

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