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

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• 作者：Olga Lyashevska^a ; ^{olga@herenstraat.nl} ; Dick J. Brus^b ; ^{Dick.Brus@wur.nl} ; Jaap van der Meer^a ; ^{Jaap.van.der.Meer@nioz.nl}
• 关键词：Count data ; Generalized linear geostatistical modelling ; Autocorrelation ; Zero-inflation ; Grid-spacing
• 刊名：Spatial Statistics
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：18
• 期：part_PB
• 页码：386-395
• 全文大小：905 K
• 卷排序：18

文摘

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 ππ and the intensity parameter μμ 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.