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Spatial Interpolation

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Abstract

Spatial Interpolation (SI) is a term used to estimate a value of a data variable at an un-sampled site from measurements made in close proximity or within a range of available data. This technique is based on Tobler’s First Law of Geography that states that points close together in space are more likely to have similar values than points that are far apart. Use a neighborhood of sample points to estimate a value at an un-sampled location.

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Bajjali, W. (2018). Spatial Interpolation. In: ArcGIS for Environmental and Water Issues. Springer Textbooks in Earth Sciences, Geography and Environment. Springer, Cham. https://doi.org/10.1007/978-3-319-61158-7_13

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