[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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