Geospatial analysis requires a different way of thinking: the problem of spatial heterogeneity
@article{Jiang2014GeospatialAR, title={Geospatial analysis requires a different way of thinking: the problem of spatial heterogeneity}, author={Bin Jiang}, journal={GeoJournal}, year={2014}, volume={80}, pages={1-13} }
Geospatial analysis is very much dominated by a Gaussian way of thinking, which assumes that things in the world can be characterized by a well-defined mean, i.e., things are more or less similar in size. However, this assumption is not always valid. In fact, many things in the world lack a well-defined mean, and therefore there are far more small things than large ones. This paper attempts to argue that geospatial analysis requires a different way of thinking—a Paretian way of thinking that…
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