Other packages > Find by keyword >

spatialRF  

Easy Spatial Modeling with Random Forest
View on CRAN: Click here


Download and install spatialRF package within the R console
Install from CRAN:
install.packages("spatialRF")

Install from Github:
library("remotes")
install_github("cran/spatialRF")

Install by package version:
library("remotes")
install_version("spatialRF", "1.1.5")



Attach the package and use:
library("spatialRF")
Maintained by
Blas M. Benito
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-23
Latest Update: 2022-08-19
Description:
Automatic generation and selection of spatial predictors for spatial regression with Random Forest. Spatial predictors are surrogates of variables driving the spatial structure of a response variable. The package offers two methods to generate spatial predictors from a distance matrix among training cases: 1) Moran's Eigenvector Maps (MEMs; Dray, Legendre, and Peres-Neto 2006 <doi:10.1016/j.ecolmodel.2006.02.015>): computed as the eigenvectors of a weighted matrix of distances; 2) RFsp (Hengl et al. <doi:10.7717/peerj.5518>): columns of the distance matrix used as spatial predictors. Spatial predictors help minimize the spatial autocorrelation of the model residuals and facilitate an honest assessment of the importance scores of the non-spatial predictors. Additionally, functions to reduce multicollinearity, identify relevant variable interactions, tune random forest hyperparameters, assess model transferability via spatial cross-validation, and explore model results via partial dependence curves and interaction surfaces are included in the package. The modelling functions are built around the highly efficient 'ranger' package (Wright and Ziegler 2017 <doi:10.18637/jss.v077.i01>).
How to cite:
Blas M. Benito (2021). spatialRF: Easy Spatial Modeling with Random Forest. R package version 1.1.5, https://cran.r-project.org/web/packages/spatialRF. Accessed 09 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:07), 1.1.3 (2021-09-23 10:30), 1.1.4 (2022-08-19 18:00)
Other packages that cited spatialRF R package
View spatialRF citation profile
Other R packages that spatialRF depends, imports, suggests or enhances
Complete documentation for spatialRF
Functions, R codes and Examples using the spatialRF R package
Some associated functions: auc . auto_cor . auto_vif . beowulf_cluster . case_weights . default_distance_thresholds . distance_matrix . double_center_distance_matrix . filter_spatial_predictors . get_evaluation . get_importance . get_importance_local . get_moran . get_performance . get_predictions . get_residuals . get_response_curves . get_spatial_predictors . is_binary . make_spatial_fold . make_spatial_folds . mem . mem_multithreshold . moran . moran_multithreshold . normality . objects_size . optimization_function . pca . pca_multithreshold . plant_richness_df . plot_evaluation . plot_importance . plot_moran . plot_optimization . plot_residuals_diagnostics . plot_response_curves . plot_response_surface . plot_training_df . plot_training_df_moran . plot_tuning . prepare_importance_spatial . print . print_evaluation . print_importance . print_moran . print_performance . rank_spatial_predictors . rescale_vector . residuals_diagnostics . rf . rf_compare . rf_evaluate . rf_importance . rf_repeat . rf_spatial . rf_tuning . root_mean_squared_error . select_spatial_predictors_recursive . select_spatial_predictors_sequential . standard_error . statistical_mode . the_feature_engineer . thinning . thinning_til_n . vif . weights_from_distance_matrix . 
Some associated R codes: auc.R . auto_cor.R . auto_vif.R . beowulf_cluster.R . case_weights.R . default_distance_thresholds.R . distance_matrix.R . double_center_distance_matrix.R . filter_spatial_predictors.R . get_evaluation.R . get_importance.R . get_importance_local.R . get_moran.R . get_performance.R . get_predictions.R . get_residuals.R . get_response_curves.R . get_spatial_predictors.R . is_binary.R . make_spatial_fold.R . make_spatial_folds.R . mem.R . mem_multithreshold.R . moran.R . moran_multithreshold.R . objects_size.R . optimization_function.R . pca.R . pca_multithreshold.R . plant_richness_df.R . plot_evaluation.R . plot_importance.R . plot_moran.R . plot_optimization.R . plot_residuals_diagnostics.R . plot_response_curves.R . plot_response_surface.R . plot_training_df.R . plot_training_df_moran.R . plot_tuning.R . prepare_importance_spatial.R . print.R . print_evaluation.R . print_importance.R . print_moran.R . print_performance.R . rank_spatial_predictors.R . rescale_vector.R . residuals_diagnostics.R . residuals_test.R . rf.R . rf_compare.R . rf_evaluate.R . rf_importance.R . rf_repeat.R . rf_spatial.R . rf_tuning.R . root_mean_squared_error.R . select_spatial_predictors_recursive.R . select_spatial_predictors_sequential.R . standard_error.R . statistical_mode.R . the_feature_engineer.R . thinning.R . thinning_til_n.R . vif.R . weights_from_distance_matrix.R .  Full spatialRF package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

attachment  
Deal with Dependencies
Manage dependencies during package development. This can retrieve all dependencies that are used in ...
Download / Learn more Package Citations See dependency  
febr  
Data Repository of the Brazilian Soil
Utilities to access and process data from the Data Repository of the Brazilian Soil ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
adea  
Alternate DEA Package
The meaning of adea is "alternate DEA". This package is devoted to provide the alternative method of ...
Download / Learn more Package Citations See dependency  
CenBAR  
Broken Adaptive Ridge AFT Model with Censored Data
Broken adaptive ridge estimator for censored data is used to select variables and estimate their co ...
Download / Learn more Package Citations See dependency  
gpg  
GNU Privacy Guard for R
Bindings to GnuPG for working with OpenGPG (RFC4880) cryptographic methods. Includes utilities for ...
Download / Learn more Package Citations See dependency  

28,480

R Packages

239,283

Dependencies

75,476

Author Associations

28,481

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA