|Title||Grid-spacing and the quality of abundance maps for species that show spatial autocorrelation and zero-inflation|
|Author(s)||Lyashevska, Olga; Brus, Dick J.; Meer, Jaap van der|
|Source||Spatial Statistics 18 (2016). - ISSN 2211-6753 - p. 386 - 395.|
Alterra - Soil, water and land use
|Publication type||Refereed Article in a scientific journal|
|Keyword(s)||Autocorrelation - Count data - Generalized linear geostatistical modelling - Grid-spacing - Zero-inflation|
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.