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spm2  

Spatial Predictive Modeling
View on CRAN: Click here


Download and install spm2 package within the R console
Install from CRAN:
install.packages("spm2")

Install from Github:
library("remotes")
install_github("cran/spm2")

Install by package version:
library("remotes")
install_version("spm2", "1.1.3")



Attach the package and use:
library("spm2")
Maintained by
Jin Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-08
Latest Update: 2023-04-06
Description:
An updated and extended version of 'spm' package, by introducing some further novel functions for modern statistical methods (i.e., generalised linear models, glmnet, generalised least squares), thin plate splines, support vector machine, kriging methods (i.e., simple kriging, universal kriging, block kriging, kriging with an external drift), and novel hybrid methods (228 hybrids plus numerous variants) of modern statistical methods or machine learning methods with mathematical and/or univariate geostatistical methods for spatial predictive modelling. For each method, two functions are provided, with one function for assessing the predictive errors and accuracy of the method based on cross-validation, and the other for generating spatial predictions. It also contains a couple of functions for data preparation and predictive accuracy assessment.
How to cite:
Jin Li (2021). spm2: Spatial Predictive Modeling. R package version 1.1.3, https://cran.r-project.org/web/packages/spm2. Accessed 31 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:08), 1.1.0 (2021-10-08 19:40), 1.1.2 (2022-03-10 12:20)
Other packages that cited spm2 R package
View spm2 citation profile
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Complete documentation for spm2
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