A comparison of predictive methods in modelling the distribution of periglacial landforms in Finnish Lapland
Abstract This study compares the predictive accuracy of eight state‐of‐the‐art modelling techniques for 12 landforms types in a cold environment. The methods used are Random Forest (RF), Artificial Neural Networks (ANN), Generalized Boosting Methods (GBM), Generalized Linear Models (GLM), Generalize...
Published in: | Earth Surface Processes and Landforms |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Wiley
2008
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1002/esp.1695 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fesp.1695 https://onlinelibrary.wiley.com/doi/pdf/10.1002/esp.1695 |