swMATH ID: 44518
Software Authors: Woolley, Skipton; Foster, Scott
Description: The ppmData R-package for setting up spatial point process models. The approach uses quasi-random sampling to generate a quadrature scheme for numerical approximation of a Poisson point process model. Quasi-random sampling quadrature are a form of spatially-balanced survey design or point stratification that aims to reduce the frequency of placing samples close to each other (relative to pseudo-random or grid designs). A quasi-random quadrature design improves efficiency of background point sampling (and subsequent modelling) by reducing the amount of spatial auto-correlation between data implying that each sample is providing as much unique information as possible and thus reducing low errors for geostatistical prediction
Homepage: https://zenodo.org/record/7679406#.ZAxaPy9XaP8
Source Code:  https://github.com/skiptoniam/ppmData
Dependencies: R
Keywords: R; R package; spatial point process models; Journal of Open Source Software
Related Software: ecomix; gamair; terra; glmnet; sf; R
Cited in: 0 Documents

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