InterpolateR: A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation

Package: InterpolateR 1.4-3

Jonnathan Landi

InterpolateR: A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation

Spatial interpolation toolkit designed for environmental and geospatial applications. It includes a range of methods, from traditional techniques to advanced machine learning approaches, ensuring accurate and efficient estimation of values in unobserved locations.

Authors:Jonnathan Landi [aut, cre, cph], Marco Mogro [aut]

InterpolateR_1.4-3.tar.gz
InterpolateR_1.4-3.zip(r-4.7-any)InterpolateR_1.4-3.zip(r-4.6-any)InterpolateR_1.4-3.zip(r-4.5-any)
InterpolateR_1.4-3.tgz(r-4.6-any)InterpolateR_1.4-3.tgz(r-4.5-any)
InterpolateR_1.4-3.tar.gz(r-4.7-any)InterpolateR_1.4-3.tar.gz(r-4.6-any)
InterpolateR_1.4-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
InterpolateR/json (API)

# Install 'InterpolateR' in R:

install.packages('InterpolateR', repos = c('https://jonnathan-landi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jonnathan-landi/interpolater/issues

Datasets:

BD_Coord - Precipitation Station Coordinates Dataset
BD_Obs - Observed Data from Ground Stations

On CRAN:

5.15 score 14 stars 2 scripts 421 downloads 6 exports 19 dependencies

Last updated from:afc5238350. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	162
source / vignettes	OK	218
linux-release-x86_64	OK	143
macos-release-arm64	OK	105
macos-oldrel-arm64	OK	114
windows-devel	OK	117
windows-release	OK	116
windows-oldrel	OK	86
wasm-release	OK	134

Exports:create_data Cressman IDW Kriging_Ordinary RFmerge RFplus

Dependencies:codetools data.table digest fitdistrplus future future.apply globals lattice listenv MASS Matrix parallelly pbapply qmap randomForest Rcpp rlang survival terra

InterpolateR

Rendered fromInterpolateR.Rmdusingknitr::rmarkdown

Help page	Topics
Precipitation Station Coordinates Dataset	BD_Coord
Observed Data from Ground Stations	BD_Obs
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.	create_data
Cressman Objective Analysis Method	Cressman
Inverse distance weighted interpolation (IDW)	IDW
Ordinary Kriging interpolation	Kriging_Ordinary
Merging of satellite datasets with ground observations using Random Forest	RFmerge
Machine learning algorithm for fusing ground and satellite precipitation data.	RFplus

Help page

Topics

Precipitation Station Coordinates Dataset

BD_Coord

Observed Data from Ground Stations

BD_Obs

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.

create_data

Cressman Objective Analysis Method

Cressman

Inverse distance weighted interpolation (IDW)

IDW