Evaluation of geoimputation strategies in a large case study

HIGHLIGHTS

• who: Naci Dilekli from the Based on gains in standard error, reduction in mean error and validation results, we conclude that methods #, and #4, Maximum Imputation and Weighted Mean methods were preferable in this study when no fine level spatial information is available, though this should be replicated in a population that is more randomly dispersedWe conclude that characteristics of the estimated records such as the demographic profile and population density information impact accuracy of results. In the absence of ground truthing information, such variables can provide accuracy information using the error ranges provided in this study . . .
  

   

  

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