Model-Based Geostatistics
Aggregate grid cell draws to polygons: validation
Aggregate grid cell draws to polygons
Aggregate a raster to polygons: validation
Aggregate a raster to polygons
Validation: Build aggregation table
Build aggregation table
Build ID raster
Calculate fractional pixels in a polygon
Dissolve sf object by attribute
Behavior when attaching the mbg package
Fit INLA model
Generate cell draws and summary rasters from INLA model
Helper function to get the current year
Load covariates
Generate log posterior predictive density from a geostatistical surfac...
Add global indent for logging
Remove global indent for logging
Get timer log
Start logging timer
End logging timer
Make time stamp
Make world template raster
MBG model runner class
Prepare data stack for INLA
Generate RMSE from an estimated raster surface and point data
Run regression sub-models
Summarize draws
Insert values into a raster
Run variance inflation factor (VIF) selection on input covariates
Modern model-based geostatistics for point-referenced data. This package provides a simple interface to run spatial machine learning models and geostatistical models that estimate a continuous (raster) surface from point-referenced outcomes and, optionally, a set of raster covariates. The package also includes functions to summarize raster outcomes by (polygon) region while preserving uncertainty.
Useful links