hdl:10013/epic.49589
Comfy Multivariate Regression and Cross-validation for Spatial Objects (crecs)
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jan.holstein [ at ] awi.de
Abstract
This R package is for multivariate regression and classification with spatial objects. It was developed for species-distribution modelling, but there's nothing biology-specific to it. Use it on spatially distributed continious quantities (as well as count and presence/absence data), featuring random forest, gbm.step, and gbm, gam, and maxent. It provides means for crossvalidation, various model performance metrics and helper functions for null models, spatial autocorrelation, etc., and a number of convenience functions.
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Helmholtz Research Programs > PACES II (2014-2020) > TOPIC 2: Fragile coasts and shelf sea > WP 2.2: Species interactions in changing and exploited coastal seas
Helmholtz Research Programs > PACES II (2014-2020) > TOPIC 4: Research in science-stakeholder interactions > WP 4.1: Operational analyses and forecasting
Helmholtz Research Programs > PACES II (2014-2020) > TOPIC 4: Research in science-stakeholder interactions > WP 4.2: Channelling research data to enhanced data products
Helmholtz Research Programs > PACES II (2014-2020) > TOPIC 4: Research in science-stakeholder interactions > WP 4.1: Operational analyses and forecasting
Helmholtz Research Programs > PACES II (2014-2020) > TOPIC 4: Research in science-stakeholder interactions > WP 4.2: Channelling research data to enhanced data products
Primary Topic
Helmholtz Programs > Helmholtz Research Programs > PACES II (2014-2020) > TOPIC 4: Research in science-stakeholder interactions > WP 4.2: Channelling research data to enhanced data products
Publication Status
Published
Eprint ID
43061
DOI
10.5281/zenodo.16021
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Holstein, J.
(2015):
Comfy Multivariate Regression and Cross-validation for Spatial Objects (crecs)
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doi: 10.5281/zenodo.16021
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