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

At a glance

This paper discusses three methods to help manage data analysis for environmental exposures

Affiliates

Xun Shi1, Meifang Li1,2, Olivia Hunter3, Bart Guetti1, Angeline Andrew4, Elijah Stommel5, Walter Bradley6, & Margaret Karagas4

  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.

Link to paper

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Content Source:
Agency for Toxic Substances and Disease Registry