Two models for fire occurrence prediction in Whitecourt Forest, Canada

  • C. Vega Garcia University of Alberta
  • P. M. Woodard University of Alberta
  • S. J. Titus University of Alberta
  • W. L. Adamowicz University of Alberta
  • B. S. Lee Canadian Forest Service
DOI: https://doi.org/10.5424/601
Keywords: Human-caused, Forest fire occurence, Prediction, Canada

Abstract

This study models the daily human-caused wildfire occurrence in Whitecourt Forest, Alberta, Canada. Two models were developed, a logit model and a neural network model. Both achieved similar accuracy when applied to daily prediction (74 vs. 76 %). This paper describes the methods used for the models development and discusses the management implications and limitations of the study.

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Published
1999-06-01
How to Cite
Vega Garcia, C., Woodard, P. M., Titus, S. J., Adamowicz, W. L., & Lee, B. S. (1999). Two models for fire occurrence prediction in Whitecourt Forest, Canada. Forest Systems, 8(1), 5-23. https://doi.org/10.5424/601
Issue
Vol. 8 No. 1 (1999)
Section
Research Articles

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