R help - Aug 2017 - FW: Predictive accuracy measures in a recently released R package, spm: Spatial Predictive Modelling [SEC=UNCLASSIFIED]

Hi All,

Just thought you might be interested in a recently released R package, spm:
Spatial Predictive Modelling.

It aims to introduce some novel, accurate, hybrid geostatistical and machine
learning methods for spatial predictive modelling.

Of 22 functions available in spm, two functions are for accuracy assessment.
Perhaps they are not only useful tools for spatial predictive modelling work,
but also for other predictive modelling work in general. For the reasons of the
predictive accuracy measures used in these two functions, please see:
Li, J., 2016. Assessing spatial predictive models in the environmental sciences:
accuracy measures, data variation and variance explained. Environmental
Modelling & Software 80 1-8.
http://www.sciencedirect.com/science/article/pii/S136481521630024X.
Li, J., 2017. Assessing the accuracy of predictive models for numerical data:
Not r nor r2, why not? Then what? PLOS ONE 12 (8): e0183250.
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0183250.

The package, spm, can be downloaded from CRAN now.? 

Any feedback and comments are much appreciated! 

Kind regards,
Jin

Jin Li, PhD | Spatial Modeller / Computational Statistician
National Earth and Marine Observations | Environmental Geoscience Division?
t:? +61 2 6249 9899??? www.ga.gov.au

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