Importance of spatial predictor variable selection in machine learning applications–Moving from data reproduction to spatial prediction

H Meyer, C Reudenbach, S Wöllauer, T Nauss - Ecological Modelling, 2019 - Elsevier
Abstract Machine learning algorithms find frequent application in spatial prediction of biotic
and abiotic environmental variables. However, the characteristics of spatial data, especially …
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Importance of spatial predictor variable selection in machine learning applications–Moving from data reproduction to spatial prediction

H Meyer, C Reudenbach, S Wöllauer… - Ecological …, 2019 - ui.adsabs.harvard.edu
Abstract Machine learning algorithms find frequent application in spatial prediction of biotic
and abiotic environmental variables. However, the characteristics of spatial data, especially …

Importance of spatial predictor variable selection in machine learning applications--Moving from data reproduction to spatial prediction

H Meyer, C Reudenbach, S Wöllauer… - arXiv preprint arXiv …, 2019 - arxiv.org
Machine learning algorithms find frequent application in spatial prediction of biotic and
abiotic environmental variables. However, the characteristics of spatial data, especially …

Importance of spatial predictor variable selection in machine learning applications-moving from data reproduction to spatial prediction.

H Meyer, C Reudenbach, S Wöllauer, T Nauss - 2019 - cabidigitallibrary.org
Abstract Machine learning algorithms find frequent application in spatial prediction of biotic
and abiotic environmental variables. However, the characteristics of spatial data, especially …

Importance of spatial predictor variable selection in machine learning applications–Moving from data reproduction to spatial prediction

H Meyer, C Reudenbach, S Wöllauer… - Ecological Modelling, 2019 - ideas.repec.org
Machine learning algorithms find frequent application in spatial prediction of biotic and
abiotic environmental variables. However, the characteristics of spatial data, especially …

Importance of spatial predictor variable selection in machine learning applications–Moving from data reproduction to spatial prediction

H Meyer, C Reudenbach, S Wöllauer… - Ecological …, 2019 - econpapers.repec.org
Machine learning algorithms find frequent application in spatial prediction of biotic and
abiotic environmental variables. However, the characteristics of spatial data, especially …

Importance of spatial predictor variable selection in machine learning applications--Moving from data reproduction to spatial prediction

H Meyer, C Reudenbach, S Wöllauer… - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Abstract Machine learning algorithms find frequent application in spatial prediction of biotic
and abiotic environmental variables. However, the characteristics of spatial data, especially …

[引用][C] Importance of spatial predictor variable selection in machine learning applications–Moving from data reproduction to spatial prediction

H Meyer, C Reudenbach, S Wöllauer, T Nauss - 2019