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A model for predicting human-caused wildfire occurrence in the region of Madrid, Spain

Lara Vilar A C , Douglas. G. Woolford B , David L. Martell B and M. Pilar Martín A
+ Author Affiliations
- Author Affiliations

A Centre for Human and Social Sciences, Spanish Council for Scientific Research, Albasanz 26-28, E-28037 Madrid, Spain.

B Faculty of Forestry, University of Toronto, 33 Willcocks Street, Toronto, ON, M5S 3B3, Canada.

C Corresponding author. Email: lara.vilar@cchs.csic.es

International Journal of Wildland Fire 19(3) 325-337 https://doi.org/10.1071/WF09030
Submitted: 27 March 2009  Accepted: 10 November 2009   Published: 13 May 2010



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Predictive Modeling of Wildfire Occurrence and Damage in a Tropical Savanna Ecosystem of West Africa
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Risk Analysis. 2020 40(7). p.1418
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International Journal of Wildland Fire. 2012 21(5). p.498
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Land. 2023 12(1). p.194
Wildfire Prediction to Inform Fire Management: Statistical Science Challenges
Taylor S. W., Woolford Douglas G., Dean C. B., Martell David L.
Statistical Science. 2013 28(4).
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Costafreda-Aumedes S., Vega-Garcia C., Comas C.
Journal of Environmental Management. 2018 217 p.90
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Natural Hazards. 2024
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International Journal of Wildland Fire. 2014 23(4). p.520
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Price Owen, Bradstock Ross
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Complex Relationships of the Effects of Topographic Characteristics and Susceptible Tree Cover on Burn Severity
Lee Hyun-Joo, Choi Yun, Lee Sang-Woo
Sustainability. 2018 10(2). p.295
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Remote Sensing. 2019 11(1). p.86
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Cai Lei, Shi Wenwen, Shi Weiyu, Li Fang, Alexeev Vladimir A, Shiklomanov Alexander, Yang Ruowen, Tan Shucheng
Environmental Research Letters. 2023 18(9). p.094049
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Global Ecology and Conservation. 2020 22 p.e00974
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Forest Ecology and Management. 2016 378 p.68
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Remote Sensing. 2023 15(12). p.2999
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Forest Policy and Economics. 2016 73 p.153
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IET Generation, Transmission & Distribution. 2022 16(13). p.2531
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Guo Futao, Innes John L., Wang Guangyu, Ma Xiangqing, Sun Long, Hu Haiqing, Su Zhangwen
Journal of Plant Ecology. 2015 8(5). p.480
A methodology for investigating trends in changes in the timing of the fire season with applications to lightning-caused forest fires in Alberta and Ontario, Canada
Albert-Green Alisha, Dean C.B., Martell David L., Woolford Douglas G.
Canadian Journal of Forest Research. 2013 43(1). p.39
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Nadeem Khurram, Taylor S. W., Woolford Douglas G., Dean C. B.
International Journal of Wildland Fire. 2020 29(1). p.11
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Arndt N, Vacik H, Koch V, Arpaci A, Gossow H
iForest - Biogeosciences and Forestry. 2013 6(6). p.315
Human-caused fire occurrence modelling in perspective: a review
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International Journal of Wildland Fire. 2017 26(12). p.983
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Magnussen S., Taylor S. W.
International Journal of Wildland Fire. 2012 21(4). p.342
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McFayden Colin B., Woolford Douglas G., Stacey Aaron, Boychuk Den, Johnston Joshua M., Wheatley Melanie J., Martell David L.
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Xi Dexen D.Z., Taylor Stephen W., Woolford Douglas G., Dean C.B.
Annual Review of Statistics and Its Application. 2019 6(1). p.197
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Woolford Douglas G., Martell David L., McFayden Colin B., Evens Jordan, Stacey Aaron, Wotton B. Michael, Boychuk Dennis
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Assessing the biophysical and social drivers of burned area distribution at the local scale
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Journal of Environmental Management. 2020 264 p.110449
Application of a geographical assessment method for the characterization of wildland–urban interfaces in the context of wildfire prevention: A case study in western Madrid
Herrero-Corral Gema, Jappiot Marielle, Bouillon Christophe, Long-Fournel Marlène
Applied Geography. 2012 35(1-2). p.60
Non-parametric comparative analysis of the spatiotemporal pattern of human-caused and natural wildfires in Galicia
Marey-Pérez M. F., Fuentes-Santos Isabel, Saavera-Nieves Paula, González-Manteiga Wenceslao
International Journal of Wildland Fire. 2022 32(2). p.178
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Theoretical and Applied Climatology. 2019 137(1-2). p.637
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Geomatics, Natural Hazards and Risk. 2016 7(6). p.1800
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Natural Hazards. 2018 92(3). p.1399
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Impact of human factors on wildfire occurrence in Mississippi, United States
Grala Katarzyna, Grala Robert K., Hussain Anwar, Cooke William H., Varner J. Morgan
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Natural Hazards and Earth System Sciences. 2013 13(2). p.311
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Applied Geography. 2015 56 p.164
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