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Modeling forest fires risk using spatial decision tree


Yaakob, Razali and Mustapha, Norwati and Nuruddin, Ahmad Ainuddin and Sitanggang, Imas Sukaesih (2011) Modeling forest fires risk using spatial decision tree. In: 2011 3rd Conference on Data Mining and Optimization (DMO), 28-29 June 2011, Putrajaya, Malaysia. (pp. 103-107).


Forest fires have long been annual events in many parts of Sumatra Indonesia during the dry season. Riau Province is one of the regions in Sumatra where forest fires seriously occur every year mostly because of human factors both on purposes and accidently. Forest fire models have been developed for certain area using the weightage and criterion of variables that involve the subjective and qualitative judging for variables. Determining the weights for each criterion is based on expert knowledge or the previous experienced of the developers that may result too subjective models. In addition, criteria evaluation and weighting method are most applied to evaluate the small problem containing few criteria. This paper presents our initial work in developing a spatial decision tree using the spatial ID3 algorithm and Spatial Join Index applied in the SCART (Spatial Classification and Regression Trees) algorithm. The algorithm is applied on historic forest fires data for a district in Riau namely Rokan Hilir to develop a model for forest fires risk. The modeling forest fire risk includes variables related to physical as well as social and economic. The result is a spatial decision tree containing 138 leaves with distance to nearest river as the first test attribute.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
Faculty of Forestry
DOI Number: https://doi.org/10.1109/DMO.2011.5976512
Publisher: IEEE
Keywords: Forest fires risk; ID3 algorithm; Spatial decision tree
Depositing User: Nabilah Mustapa
Date Deposited: 15 Jul 2016 09:16
Last Modified: 12 Jun 2019 08:27
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/DMO.2011.5976512
URI: http://psasir.upm.edu.my/id/eprint/47812
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