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ISSN:2325-6192 (print)
ISSN:2325-6206 (online)
Journal of Environmental Accounting and Management
António Mendes Lopes (editor), Jiazhong Zhang(editor)
António Mendes Lopes (editor)

University of Porto, Portugal

Email: aml@fe.up.pt

Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email: jzzhang@mail.xjtu.edu.cn

Variable Selection Strategy Using Random Forests Algorithm to Identify the Effects of Environmental Factors on Health, Modeling from a GIS Multidimensional Dataset

Journal of Environmental Accounting and Management 3(2) (2015) 89--108 | DOI:10.5890/JEAM.2015.06.002

Stéphane Bourrelly

Aix Marseille Université. UMR-7300-ESPACE (CNRS); 98 Bd Edouard Herriot 06204 Nice cedex 3, France

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Abstract

This paper proposes the method: MyVsurfGeo (MVG), designed to assess the adverse effects of living environments; of key interest in France’s cancer plans. Increased access to numerous databases enables modeling physicochemical, sanitary and socio-economic features at territorial scale, from Geographic Information Systems (GIS). However, GIS are not suited for characterizing relationships in existing high multidimensional datasets. Especially, when incorporating qualitative and quantitative indicators, with different accuracy levels. A recent strategy of variable selection using Random Forests provides the power to overcome this drawback. MVG1 method transposes this strategy into spatial analysis. It is applied to secondary tumors (TUM2) developed during a childhood leukemia remission. Results highlight health determinants and contributory factors that explain TUM2 incidences. The significance of MVG and its findings are discussed. The expected medical and political contributions are described.

Acknowledgments

I would like to thank Prof. C. Voiron for his help in designing the weighting system from fuzzy set theory, Prof. P. Auquier, for funding this research and helping me avoid many mistakes, Associate professor R. Genuer, for his technical support during the programmation of MVG algorithm, and my friend, T. Corazao, for his integral language review.

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