README.md

Deprecation warning

partition_kmeans() has been integrated into mlr (see 2ebd2f). sperrorest is currently not actively developed. We recommend to use mlr for all future (spatial) cross-validation work.

General

Project Status: Active – The project has reached a stable, usable
state and is being actively
developed. DOI

| Resource: | CRAN | Travis CI | Appveyor | | ------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Platforms: | Multiple | Linux & macOS | Windows | | R CMD check | CRAN version | Build status | Build status | | Test coverage | | Coverage Status | |

CRAN

CRAN_Status_Badge Downloads

Description

Spatial Error Estimation and Variable Importance

This package implements spatial error estimation and permutation-based spatial variable importance using different spatial cross-validation and spatial block bootstrap methods. To cite sperrorest in publications, reference the paper by @Brenning2012. To see the package in action, please check the vignette.

Installation

Get the released version from CRAN:

install.packages("sperrorest")

Or the development version from Github:

devtools::install_github("pat-s/sperrorest")

References

Brenning, A. 2005. “Spatial Prediction Models for Landslide Hazards: Review, Comparison and Evaluation.” *Natural Hazards and Earth System Science* 5 (6). Copernicus GmbH:853–62. .
———. 2012. “Spatial Cross-Validation and Bootstrap for the Assessment of Prediction Rules in Remote Sensing: The R Package Sperrorest.” In *2012 IEEE International Geoscience and Remote Sensing Symposium*, 5372–5. .
Russ, Georg, and Alexander Brenning. 2010a. “Data Mining in Precision Agriculture: Management of Spatial Information.” In *Computational Intelligence for Knowledge-Based Systems Design: 13th International Conference on Information Processingand Management of Uncertainty, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings*, edited by Eyke Hüllermeier, Rudolf Kruse, and Frank Hoffmann, 350–59. Berlin, Heidelberg: Springer Berlin Heidelberg. .
———. 2010b. “Spatial Variable Importance Assessment for Yield Prediction in Precision Agriculture.” In *Lecture Notes in Computer Science*, 184–95. Springer Science + Business Media. .


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sperrorest documentation built on April 1, 2018, 12:27 p.m.