Estimation of environmental exposure: interpolation, kernel density estimation or snapshotting

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Affiliates Xun Shi [1], Meifang Li [1,2], Olivia Hunter [3], Bart Guetti [1], Angeline Andrew [4], Elijah Stommel [5], Walter Bradley [6],& Margaret Karagas [4]

 

[1] Department of Geography, Dartmouth College
[2] School of Geography and Planning, Sun Yat-sen University
[3] Department of Biological Sciences, Dartmouth College
[4] Department of Epidemiology, Geisel School of Medicine, Dartmouth College
[5] Dartmouth-Hitchcock Medical Center
[6] Department of Neurology, Miller School of Medicine
Journal Annals of GIS
Summary Spatial analyses are important in environmental health research. This paper discusses three different methods to help manage data for complicated analyses, interpolation, kernel density estimation and snapshotting. The three methods were compared and contrasted and appropriate applications within the context of estimation of environmental exposure were proposed.
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Page last reviewed: July 14, 2021
Content source: Agency for Toxic Substances and Disease Registry