Area and Feature Guided Regularised Random Forest: a novel method for predictive modelling of binary phenomena. The case of illegal landfill in Canary Island-Reference-Cited by-同舟云学术

Area and Feature Guided Regularised Random Forest: a novel method for predictive modelling of binary phenomena. The case of illegal landfill in Canary Island

Published:2022-06-09 Issue:12 Volume:36 Page:2473-2495
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Quesada-Ruiz Lorenzo Carlos¹^ORCID,Rodriguez-Galiano Victor Francisco¹^ORCID,Zurita-Milla Raúl²^ORCID,Izquierdo-Verdiguier Emma³^ORCID

Affiliation:

1. Department of Physical Geography and Regional Geographical Analysis, University of Seville, Seville, Spain

2. Faculty of Geoinformation Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands

3. Institute of Geomatics, University of Natural Resources and Life Sciences, Vienna (BOKU), Vienna, Austria

Funder

Spanish Ministry of Universities

‘Ministerio de Ciencia e Innovación and Agencia Estatal de Investigation/FEDER - Junta de Andalucía (Consejería de Economía y Conocimiento)’

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2022.2075879

Reference78 articles.

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3. Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images

4. Beck, J.R., and Shultz, E. 1986. The use of relative operating characteristic (ROC) curves in test performance evaluation. Archives of Pathology & Laboratory Medicine, 110 (1), 13–20.

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