geostatsp
Geostatistical Modelling with Likelihood and Bayes
Geostatistical modelling facilities using 'SpatRaster' and 'SpatVector' objects are provided. Non-Gaussian models are fit using 'INLA', and Gaussian geostatistical models use Maximum Likelihood Estimation. For details see Brown (2015) doi:10.18637/jss.v063.i12. The 'RandomFields' package is available at https://www.wim.uni-mannheim.de/schlather/publications/software.
- Version2.0.8
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- geostatsp citation info
- Last release02/07/2025
Documentation
Team
Patrick Brown
MaintainerShow author details
Insights
Last 30 days
This package has been downloaded 598 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 40 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 7,851 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Oct 24, 2024 with 142 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Depends2 packages
- Imports2 packages
- Enhances3 packages
- Suggests4 packages
- Linking To1 package