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CAST

Caret Applications for Spatio-Temporal models

This is the developer version of CAST. The CRAN Version can be found on https://CRAN.R-project.org/package=CAST

For a documentation of the methods see also:

Meyer, H., Reudenbach, C., Hengl, T., Katurji, M., Nauss, T. (2018): Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation. Environmental Modelling & Software, 101, 1-9.

Meyer, H., Reudenbach, C., Wöllauer, S., Nauss, T. (2019): Importance of spatial predictor variable selection in machine learning applications - Moving from data reproduction to spatial prediction. Ecological Modelling. 411.

and the talk from the OpenGeoHub summer school 2019: https://www.youtube.com/watch?v=mkHlmYEzsVQ

Meyer, H., Pebesma, E. (2020): Predicting into unknown space? Estimating the area of applicability of spatial prediction models. http://arxiv.org/abs/2005.07939

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install.packages('CAST')

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0.4.1

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GPL (>= 3) | file LICENSE

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Last Published

May 19th, 2020

Functions in CAST (0.4.1)