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sptotal: an R package for predicting totals and weighted sums from spatial data
Matt Higham1, Jay Ver Hoef2, Bryce Frank3
1St. Lawrence University.
This study introduces the sptotal R package for ecological surveys. It provides predictions and standard errors for finite populations using Finite-Population-Block-Kriging (FPBK) to account for spatial correlation and sampling variance.
Area of Science:
- Ecology
- Environmental Science
- Spatial Statistics
Background:
- Ecological and environmental surveys often require predicting population means or totals within finite regions.
- Complete region sampling is frequently infeasible due to time and financial constraints.
Purpose of the Study:
- To introduce the sptotal R package, offering software for predictions in ecological surveys.
- To provide accurate predictions and associated standard errors for quantities of interest in finite populations.
Main Methods:
- Utilizes the Finite-Population-Block-Kriging (FPBK) predictor, a method that accounts for spatial correlation.
- Incorporates specific variance reduction techniques suitable for finite population sampling.
Main Results:
- The sptotal package enables prediction of population totals and means with associated uncertainty estimates.
- The FPBK predictor effectively handles spatial dependencies and finite population characteristics.
Conclusions:
- The sptotal R package offers a valuable tool for ecological and environmental researchers facing sampling limitations.
- The FPBK method provides a robust approach for spatial prediction in finite populations, enhancing survey accuracy.
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