[R-sig-Geo] spm2: a new package for spatial predictive modelling

[Jin Li]

Dear all,

A new package, spm2_1.1.0, for spatial predictive modelling has just been
made available on CRAN. It is 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), 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.

Any feedback is welcome and appreciated.

Best regards,
-- 
Jin
------------------------------------------
Jin Li, PhD
Founder, Data2action, Australia
https://www.researchgate.net/profile/Jin_Li32
https://scholar.google.com/citations?user=Jeot53EAAAAJ&hl=en

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