R: A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation

# A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation

## Documentation for package ‘InterpolateR’ version 1.4-3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

BD_Coord | Precipitation Station Coordinates Dataset
BD_Obs | Observed Data from Ground Stations
create_data | Create a Unified Observation Dataset in the BD_Obs Format from Multiple CSV Files This function constructs a unified dataset ('BD_Obs' structure) by merging multiple CSV files, each containing in-situ observations from different stations. The function standardizes the format required by downstream interpolation or bias correction algorithms by aligning all station data into a single 'data.table', with dates as rows and station identifiers as columns.
Cressman | Cressman Objective Analysis Method
IDW | Inverse distance weighted interpolation (IDW)
Kriging_Ordinary | Ordinary Kriging interpolation
RFmerge | Merging of satellite datasets with ground observations using Random Forest
RFplus | Machine learning algorithm for fusing ground and satellite precipitation data.