Geostatistical models are a powerful tool for analyzing spatial data in geographic information systems (GIS). They allow you to estimate values of a variable at locations where you do not have measurements, based on the spatial correlation of the data. They also provide measures of uncertainty and accuracy for your predictions. However, geostatistical models also have some limitations that you should be aware of before applying them to your GIS projects. In this article, you will learn about some of the advantages and limitations of geostatistical models in GIS, and how to overcome some of the common challenges.
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