Spatial data mining application in forest fire assessment in tropical peat areas
Forest fires are considered a potential hazard that causes physical, biological, and environmental losses. Recent forest fires in tropical peat areas have created atmospheric haze and transboundary pollution. Identifying high fire hazard areas in tropical peat areas can help in forest fire managemen...
Main Authors: | Nuruddin, Ahmad Ainuddin, Sitanggang, Imas Sukaesih, Yaakob, Razali, Mustapha, Norwati |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
Commonwealth Forestry Association
2014
|
Online Access: | http://psasir.upm.edu.my/id/eprint/43076/1/Spatial%20data%20mining%20application%20in%20forest%20fire%20assessment%20in%20tropical%20peat%20areas.pdf |
Similar Items
-
Modeling forest fires risk using spatial decision tree
by: Yaakob, Razali, et al.
Published: (2011) -
An extended ID3 decision tree algorithm for spatial data
by: Sitanggang, Imas Sukaesih, et al.
Published: (2011) -
Classification model for hotspot occurrences using spatial decision tree algorithm
by: Sitanggang, Imas Sukaesih, et al.
Published: (2013) -
A decision tree based on spatial relationships for predicting hotspots in peatlands
by: Sitanggang, Imas Sukaesih, et al.
Published: (2014) -
Predictive models for hotspots occurrence using decision tree algorithms and logistic regression.
by: Sitanggang, Imas Sukaesih, et al.
Published: (2013)