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spm  

Spatial Predictive Modeling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("spm", "1.2.2")



Attach the package and use:
library("spm")
Maintained by
Jin Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-25
Latest Update: 2022-05-06
Description:
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) <https:www.ga.gov.au/metadata-gateway/metadata/record/gcat_71407> 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) <https:www.ga.gov.au/metadata-gateway/metadata/record/74030>.
How to cite:
Jin Li (2017). spm: Spatial Predictive Modeling. R package version 1.2.2, https://cran.r-project.org/web/packages/spm. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2017-08-25 13:57), 1.1.0 (2018-03-20 08:36), 1.1.1 (2018-07-20 09:50), 1.2.0 (2019-02-22 06:30), 1.2.1 (2021-09-06 11:20)
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