Grid-spacing and the quality of abundance maps for species that show spatial autocorrelation and zero-inflation

Olga Lyashevska*, Dick J. Brus, Jaap van der Meer

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The effect of grid-spacing on the quality of species abundance maps is explored for species that show zero-inflation and spatial autocorrelation. Using a zero-inflated Poisson mixture model multiple fields of the prevalence parameter π and the intensity parameter μ were simulated. A selected field was sampled by grid-sampling with 200, 400, 800, 1600, and 3200 m grid-spacing and used to predict at a fixed set of validation locations by simple kriging with an external drift. The external drift variables were silt, silt squared and altitude. The estimated sampling distribution of MSE against grid-spacing shows that beyond a spacing of 1600 m the mean of MSE increases at a much faster rate. Based on these findings the 1600 m grid which consists of 446 locations for our study area of 2400 km2 gives a compromise between sampling costs and prediction accuracy.

Original languageEnglish
Pages (from-to)386-395
JournalSpatial Statistics
Volume18
DOIs
Publication statusPublished - 2016

Keywords

  • Autocorrelation
  • Count data
  • Generalized linear geostatistical modelling
  • Grid-spacing
  • Zero-inflation

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