Articles citing this paper
Predicting wildfire occurrence distribution with spatial point process models and its uncertainty assessment: a case study in the Lake Tahoe Basin, USA
Jian Yang A B C H , Peter J. Weisberg A , Thomas E. Dilts A , E. Louise Loudermilk D G , Robert M. Scheller D , Alison Stanton E and Carl Skinner F
+ Author Affiliations
- Author Affiliations
A Department of Natural Resources and Environmental Science, University of Nevada, Reno, 1664 N. Virginia St. Mail Stop 186, Reno, Nevada 89557, USA.
B State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, P. R. China.
C Department of Forestry, TP Cooper Building, University of Kentucky, Lexington, KY, 40546, USA.
D Environmental Science and Management Department, Portland State University, PO Box 751, Portland, OR, 97207, USA.
E 3170 Highway 50 Suite #7, South Lake Tahoe, CA, 96150, USA.
F Pacific Southwest Research Station, USDA Forest Service, 3644 Avtech Parkway, Redding, CA, 96002, USA.
G Present address: Forestry Sciences Laboratory, Center for Forest Disturbance Science, USDA Forest Service, 320 Green Street, Athens, GA 30602, USA.
H Corresponding author. Email: jian.yang@uky.edu
International Journal of Wildland Fire 24(3) 380-390 https://doi.org/10.1071/WF14001
Submitted: 3 January 2014 Accepted: 3 October 2014 Published: 7 April 2015
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