CRAN/E | spm

spm

Spatial Predictive Modeling

Installation

About

Introduction to some novel accurate hybrid methods of geostatistical and machine learning methods for spatial predictive modelling. It contains two commonly used geostatistical methods, two machine learning methods, four hybrid methods and two averaging methods. For each method, two functions are provided. One function is for assessing the predictive errors and accuracy of the method based on cross-validation. The other one is for generating spatial predictions using the method. For details please see: Li, J., Potter, A., Huang, Z., Daniell, J. J. and Heap, A. (2010) Li, J., Heap, A. D., Potter, A., Huang, Z. and Daniell, J. (2011) doi:10.1016/j.csr.2011.05.015 Li, J., Heap, A. D., Potter, A. and Daniell, J. (2011) doi:10.1016/j.envsoft.2011.07.004 Li, J., Potter, A., Huang, Z. and Heap, A. (2012) .

Key Metrics

Version 1.2.2
R ≥ 2.10
Published 2022-05-06 718 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks spm results

Downloads

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Maintainer

Maintainer

Jin Li

jinli68@gmail.com

Authors

Jin Li

aut / cre

Material

Reference manual
Package source

Vignettes

A Brief Introduction to the spm Package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

spm archive

Depends

R ≥ 2.10

Imports

gstat
sp
randomForest
psy
gbm
biomod2
stats
ranger

Suggests

knitr
rmarkdown

Reverse Imports

spm2
stepgbm
steprf