Geography, Spatial Data Analysis, and Geostatistics: An Overview |
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| Authors: | Robert P Haining Ruth Kerry Margaret A Oliver |
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| Institution: | Department of Geography, University of Cambridge, Cambridge, UK;, Department of Geography, Brigham Young University, Provo, UT, and CRSSA, Rutgers University, New Brunswick, NJ;, Department of Soil Science, University of Reading, Reading, UK |
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| Abstract: | Geostatistics is a distinctive methodology within the field of spatial statistics. In the past, it has been linked to particular problems (e.g., spatial interpolation by kriging) and types of spatial data (attributes defined on continuous space). It has been used more by physical than human geographers because of the nature of their types of data. The approach taken by geostatisticians has several features that distinguish it from the methods typically used by human geographers for analyzing spatial variation associated with regional data, and we discuss these. Geostatisticians attach much importance to estimating and modeling the variogram to explore and analyze spatial variation because of the insight it provides. This article identifies the benefits of geostatistics, reviews its uses, and examines some of the recent developments that make it valuable for the analysis of data on areal supports across a wide range of problems. |
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