Influence of Demographic and Health Survey Point Displacements on Point-in-Polygon Analyses

Citation

Warren, Joshua L.; Perez-Heydrich, Carolina; Burgert, Clara R.; & Emch, Michael E. (2016). Influence of Demographic and Health Survey Point Displacements on Point-in-Polygon Analyses. Spatial Demography, 4(2), 117-133. PMCID: PMC4950678

Abstract

We use Demographic and Health Survey data to evaluate the impact of random spatial displacements on analyses that involve assigning covariate values from ancillary areal and point feature data. We introduce a method to determine the maximum probability covariate (MPC), and compare this to the naive covariate (NC) selection method with respect to obtaining the true covariate of interest. The MPC selection method outperforms the NC selection method by increasing the probability that the correct covariate is chosen. Proposed guidelines also address how characteristics of ancillary areal and point features contribute to uncertainty in covariate assignment.

URL

http://dx.doi.org/10.1007/s40980-015-0015-z

Reference Type

Journal Article

Year Published

2016

Journal Title

Spatial Demography

Author(s)

Warren, Joshua L.
Perez-Heydrich, Carolina
Burgert, Clara R.
Emch, Michael E.

PMCID

PMC4950678

ORCiD

Emch - 0000-0003-2642-965X