Evaluation of Fire Ignition Probability Model by Using Spatial Autocorrelation Method: A Case Study in Yunnan Province
- 10.2991/icammce-17.2017.35How to use a DOI?
- spatial autocorrelation analysis; model residuals; Yunnan Province
The forests in Yunnan province are dense and precious. Meanwhile, the forests fire happens frequently. There are ten models generated with two modeling methods in the study area, Yunnan province. In this paper, the spatial autocorrelation method was applied to analyze and evaluate the performance of fire ignition probability models. The results show that: 1) the models generated by geography weight logistic regression method are better than the ones created by binary logistic regression method; 2) compared with other models, the Model 7 is optimal in terms of evaluating by the quantitative spatial autocorrelation method. The results are of significance for making decisions of establishing early warning systems.
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wei Wang AU - Zhanqiang Chang AU - Xiaomeng Liu AU - Jie Zhu AU - Wen Yu PY - 2017/04 DA - 2017/04 TI - Evaluation of Fire Ignition Probability Model by Using Spatial Autocorrelation Method: A Case Study in Yunnan Province BT - Proceedings of the 2017 2nd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2017) PB - Atlantis Press SP - 166 EP - 171 SN - 2352-5401 UR - https://doi.org/10.2991/icammce-17.2017.35 DO - 10.2991/icammce-17.2017.35 ID - Wang2017/04 ER -