L. (Luc) Steinbuch; Orton, T.G. (Thomas); Brus, D.J. (Dick) (2019): Source code in the R programming language, belonging with: Model based geostatistics from a Bayesian perspective: Investigating area‐to‐point kriging with small datasets. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:1fe0c01e-7f67-435b-a240-800579adc6e6

Dataset

• Statistics
• Physical Geography and Environmental Geoscience

area-to-point kriging, Bayesian statistics, geostatistics, prediction uncertainty, prediction variance, spatial disaggregation, spatial statistics

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by L. (Luc) Steinbuch , T.G. (Thomas) Orton , D.J. (Dick) Brus

Area-to-point kriging (ATPK) is a geostatistical method for creating maps of high resolution using data of much lower resolution. These R-scripts compare prediction uncertainty using different ATPK methods, using simulations and a real world case concerning crop yields in Burkina Faso.

• 2019-10-28 first online, published, posted

4TU.Centre for Research Data

media types: application/octet-stream, application/pdf, application/zip, text/plain, text/x-tex

• https://doi.org/10.1007/s11004-019-09840-6
• https://git.wur.nl/stein012/Bayesian-area-to-point-kriging

• Seventh Framework Programme, 603719

ISRIC World Soil Information;
School of Agriculture and Food Sciences, The University of Queensland, Brisbane, Australia;
Wageningen University & Research