Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information

Author:

Cracknell Matthew J.,Reading Anya M.

Funder

University of Tasmania

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

Reference56 articles.

1. Local indicators of spatial association – LISA;Anselin;Geogr. Anal.,1995

2. Bagging predictors;Breiman;Machine Learn.,1996

3. Random forests;Breiman;Mach. Learn.,2001

4. Classification and Regression Trees;Breiman,1984

5. Buckley, P.M., Moriarty, T., Needham, J. (compilers), 2002. Broken Hill Geoscience Database, 2nd ed. Geological Survey of New SouthWales , Sydney.

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