Human-caused fire occurrence modelling in perspective: a review
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Sergi Costafreda-Aumedes | Carles Comas | Cristina Vega-García | S. Costafreda-Aumedes | C. Vega-García | C. Comas
[1] Yue-Hong Chou,et al. Management of wildfires with a geographical information system , 1992, Int. J. Geogr. Inf. Sci..
[2] D. M. Molina-Terrén,et al. Temperature determining larger wildland fires in NE Spain , 2016, Theoretical and Applied Climatology.
[3] Riccardo Borgoni,et al. Use and performance of the Forest Fire Weather Index to model the risk of wildfire occurrence in the Alpine region , 2016 .
[4] R. M. Nally. Regression and model-building in conservation biology, biogeography and ecology: The distinction between – and reconciliation of – ‘predictive’ and ‘explanatory’ models , 2000, Biodiversity & Conservation.
[5] Kostas Kalabokidis,et al. Identifying wildland fire ignition factors through sensitivity analysis of a neural network , 2009 .
[6] Peter Berck,et al. Incorporating Anthropogenic Influences into Fire Probability Models: Effects of Human Activity and Climate Change on Fire Activity in California , 2016, PloS one.
[7] Jonathan Aylen,et al. Forecasting the outbreak of moorland wildfires in the English Peak District. , 2009, Journal of environmental management.
[8] Samsung Lim,et al. Modelling spatial patterns of wildfire occurrence in South-Eastern Australia , 2016 .
[9] Daniel Mandallaz,et al. Prediction of forest fires with Poisson models , 1997 .
[10] Yoram J. Kaufman,et al. An Enhanced Contextual Fire Detection Algorithm for MODIS , 2003 .
[11] Zhihua Liu,et al. Relative effects of climatic and local factors on fire occurrence in boreal forest landscapes of northeastern China. , 2014, The Science of the total environment.
[12] Susan I. Stewart,et al. Human influence on California fire regimes. , 2007, Ecological applications : a publication of the Ecological Society of America.
[13] M. C. Llasat,et al. Climate change impacts on wildfires in a Mediterranean environment , 2014, Climatic Change.
[14] David L. Martell,et al. Modelling seasonal variation in daily people-caused forest fire occurrence , 1989 .
[15] Patrick Weibel,et al. Environmental determinants of lightning- v. human-induced forest fire ignitions differ in a temperate mountain region of Switzerland , 2010 .
[16] C. E. Van Wagner,et al. Development and structure of the Canadian Forest Fire Weather Index System , 1987 .
[17] Lucas A. Garibaldi,et al. Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina) , 2013 .
[18] Philip J. Burton,et al. An alternative fire regime zonation for Canada , 2012 .
[19] Xiubo Yu,et al. A comparison of forest fire indices for predicting fire risk in contrasting climates in China , 2013, Natural Hazards.
[20] Robert Mavsar,et al. Analysis of factors influencing deployment of fire suppression resources in Spain using artificial neural networks , 2016 .
[21] D. Loftsgaarden,et al. Evaluation of fire danger rating indexes using logistic regression and percentile analysis , 2003 .
[22] Jorge Mateu,et al. Spatial pattern modelling of wildfires in Catalonia, Spain 2004-2008 , 2013, Environ. Model. Softw..
[23] A N Nunes,et al. Exploring spatial patterns and drivers of forest fires in Portugal (1980-2014). , 2016, The Science of the total environment.
[24] John L. Innes,et al. Historic distribution and driving factors of human-caused fires in the Chinese boreal forest between 1972 and 2005 , 2015 .
[25] Jorge Mateu,et al. Spatio-temporal log-Gaussian Cox processes for modelling wildfire occurrence: the case of Catalonia, 1994–2008 , 2014, Environmental and Ecological Statistics.
[26] D. Roy,et al. An active-fire based burned area mapping algorithm for the MODIS sensor , 2009 .
[27] A. Sebastián-López,et al. Integration of socio-economic and environmental variables for modelling long-term fire danger in Southern Europe , 2008, European Journal of Forest Research.
[28] S. C. Aumedes,et al. Spatio-Temporal Configurations of Human-Caused Fires in Spain through Point Patterns , 2016 .
[29] W. A. Main,et al. Some factors influencing wildfire occurrence and measurement of fire prevention effectiveness , 1985 .
[30] Matthew R. Levi,et al. Biophysical influences on the spatial distribution of fire in the desert grassland region of the southwestern USA , 2016, Landscape Ecology.
[31] Qianlai Zhuang,et al. Modeling Large Fire Frequency and Burned Area in Canadian Terrestrial Ecosystems with Poisson Models , 2012, Environmental Modeling & Assessment.
[32] Wiktor L. Adamowicz,et al. A Logit Model for Predicting the Daily Occurrence of Human Caused Forest-Fires , 1995 .
[33] Matt P. Plucinski,et al. The timing of vegetation fire occurrence in a human landscape , 2014 .
[34] Shoji Ohga,et al. Predicting the potential impact of climate change on people-caused forest fire occurrence in-South Korea , 2012 .
[35] Yu Chang,et al. Spatial patterns and drivers of fire occurrence and its future trend under climate change in a boreal forest of Northeast China , 2012 .
[36] T. Sisk,et al. Mapping the probability of large fire occurrence in northern Arizona, USA , 2006, Landscape Ecology.
[37] I Fuentes-Santos,et al. Forest fire spatial pattern analysis in Galicia (NW Spain). , 2013, Journal of environmental management.
[38] Timo Pukkala,et al. Using multiscale spatial analysis to assess fire ignition density in Catalonia, Spain , 2011, Annals of Forest Science.
[39] Alan A. Ager,et al. Wildfire risk estimation in the Mediterranean area , 2014 .
[40] Jian Yang,et al. Spatial Patterns of Modern Period Human-Caused Fire Occurrence in the Missouri Ozark Highlands , 2007, Forest Science.
[41] Cristina Vega-García,et al. Pastoral wildfires in the Mediterranean: understanding their linkages to land cover patterns in managed landscapes. , 2012, Journal of environmental management.
[42] Anthony L. Westerling,et al. Statistical Model for Forecasting Monthly Large Wildfire Events in Western United States , 2007 .
[43] S. Ventura,et al. ENVIRONMENTAL AND SOCIAL FACTORS INFLUENCING WILDFIRES IN THE UPPER MIDWEST, UNITED STATES , 2001 .
[44] Heiko Balzter,et al. Mapping regional patterns of large forest fires in Wildland-Urban Interface areas in Europe. , 2016, Journal of environmental management.
[45] C. Nock,et al. Forest fire occurrence and climate change in Canada , 2010 .
[46] Brett G. Dickson,et al. Probabilistic models of fire occurrence across National Park Service units within the Mojave Desert Network, USA , 2014, Landscape Ecology.
[47] Xi Xiao,et al. Sensitivity and Acclimation of Three Canopy-Forming Seaweeds to UVB Radiation and Warming , 2015, PloS one.
[48] Juan de la Riva,et al. An insight into machine-learning algorithms to model human-caused wildfire occurrence , 2014, Environ. Model. Softw..
[49] Michael C. Wimberly,et al. Influences of forest roads on the spatial patterns of human- and lightning-caused wildfire ignitions , 2012 .
[50] Kelley A. Crews,et al. Modelling spatiotemporal variability in fires in semiarid savannas: a satellite-based assessment around Africa’s largest protected area , 2016 .
[51] David J. Ganz,et al. Climate change and disruptions to global fire activity , 2012 .
[52] C. Justice,et al. Global characterization of fire activity: toward defining fire regimes from Earth observation data , 2008 .
[53] Yu Chang,et al. Predicting fire occurrence patterns with logistic regression in Heilongjiang Province, China , 2013, Landscape Ecology.
[54] Corinne Lampin,et al. A Review of the Main Driving Factors of Forest Fire Ignition Over Europe , 2013, Environmental Management.
[55] Trent D. Penman,et al. Spatial patterns of wildfire ignitions in south-eastern Australia , 2015 .
[56] T. Wiegand,et al. Environmental drivers and spatial dependency in wildfire ignition patterns of northwestern Patagonia. , 2013, Journal of environmental management.
[57] Haijun Zhang,et al. Fire Occurrence Probability Mapping of Northeast China With Binary Logistic Regression Model , 2013, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens..
[58] Yves Bergeron,et al. Recent fire regime (1945–1998) in the boreal forest of western Québec1 , 2004 .
[59] Douglas G. Woolford,et al. A model for predicting human-caused wildfire occurrence in the region of Madrid, Spain , 2010 .
[60] Nikos Koutsias,et al. Do Factors Causing Wildfires Vary in Space? Evidence from Geographically Weighted Regression , 2010 .
[61] S. Fotheringham,et al. Modeling the spatial variation of the explanatory factors of human-caused wildfires in Spain using geographically weighted logistic regression , 2014 .
[62] Tianyu Hu,et al. Drivers of lightning- and human-caused fire regimes in the Great Xing’an Mountains , 2014 .
[63] E. Chuvieco,et al. Human-caused wildfire risk rating for prevention planning in Spain. , 2009, Journal of environmental management.
[64] José M. Gutiérrez,et al. Assessing the predictability of fire occurrence and area burned across phytoclimatic regions in Spain , 2014 .
[65] A. Arneth,et al. Impact of human population density on fire frequency at the global scale , 2013 .
[66] Pejman Tahmasebi,et al. Risk of fire occurrence in arid and semi-arid ecosystems of Iran: an investigation using Bayesian belief networks , 2016, Environmental Monitoring and Assessment.
[67] Elisa Morgera,et al. Forest Fires and the Law: A Guide for National Drafters based on the Fire Management Voluntary Guidelines , 2009 .
[68] Jack D. Cohen,et al. The 1978 National Fire-Danger Rating System: technical documentation , 1984 .
[69] Alexander Arpaci,et al. Modeling human-caused forest fire ignition for assessing forest fire danger in Austria , 2013 .
[70] Scott L. Goodrick,et al. Trends in global wildfire potential in a changing climate , 2010 .
[71] Si-Young Lee,et al. Estimating the spatial pattern of human-caused forest fires using a generalized linear mixed model with spatial autocorrelation in South Korea , 2012, Int. J. Geogr. Inf. Sci..
[72] Cristina Vega-García,et al. Quantifying economic losses from wildfires in black pine afforestations of northern Spain , 2016 .
[73] José G. Borges,et al. Assessing wildfire occurrence probability in Pinus pinaster Ait. stands in Portugal , 2012 .
[74] Wisdom M. Dlamini,et al. A Bayesian belief network analysis of factors influencing wildfire occurrence in Swaziland , 2010, Environ. Model. Softw..
[75] B. M. Wotton,et al. Climate Change and People-Caused Forest Fire Occurrence in Ontario , 2003 .
[76] Mary C. Henry,et al. Assessing Relationships between Forest Spatial Patterns and Fire History with Fusion of Optical and Microwave Remote Sensing , 2004 .
[77] Lara Vilar del Hoyo,et al. Logistic regression models for human-caused wildfire risk estimation: analysing the effect of the spatial accuracy in fire occurrence data , 2011 .
[78] Ana Isabel Miranda,et al. Fire activity in Portugal and its relationship to weather and the Canadian Fire Weather Index System , 2008 .
[79] David L. Martell,et al. A Stochastic Model for the Occurrence of Man-caused Forest Fires , 1973 .
[80] Mary C. Henry,et al. Factors Influencing Wildfire Occurrence and Distribution in Eastern Kentucky, USA , 2007 .
[81] M. Loureiro,et al. Modelling spatial patterns and temporal trends of wildfires in Galicia (NW Spain) , 2015 .
[82] Futao Guo,et al. What drives forest fire in Fujian, China? Evidence from logistic regression and Random Forests , 2016 .
[83] Trisalyn A. Nelson,et al. Spatial and temporal patterns of wildfire ignitions in Canada from 1980 to 2006 , 2012 .
[84] E. L. García Diez,et al. Prediction of the Daily Number of Forest Fires , 1999 .
[85] Stephen Sitch,et al. Simulating fire regimes in human‐dominated ecosystems: Iberian Peninsula case study , 2002 .
[86] Ross A. Bradstock,et al. Modelling the determinants of ignition in the Sydney Basin, Australia: implications for future management , 2013 .
[87] A Rodriguez. Driving Factors for Forest Fire Occurrence in Durango State of Mexico:A Geospatial Perspective , 2010 .
[88] Anuradha Eaturu,et al. Spatial Distribution of Forest Fires and Controlling Factors in Andhra Pradesh, India Using Spot Satellite Datasets , 2006, Environmental monitoring and assessment.
[89] J. Bedia,et al. Global patterns in the sensitivity of burned area to fire-weather: Implications for climate change , 2015 .
[90] John S. Frost,et al. Fire-Danger Rating and Wildfire Occurrence in the Northeastern United States , 1983 .
[91] Montserrat Pallares-Barbera,et al. Spatial distribution of ignitions in Mediterranean periurban and rural areas: The case of Catalonia , 2006 .
[92] G. Hulley,et al. Thermal-based techniques for land cover change detection using a new dynamic MODIS multispectral emissivity product (MOD21) , 2014 .
[93] Anna Badia,et al. Identifying dynamics of fire ignition probabilities in two representative Mediterranean wildland-urban interface areas , 2011 .
[94] David L. Martell,et al. A logistic model for predicting daily people-caused forest fire occurrence in Ontario , 1987 .
[95] Giuseppe Amatulli,et al. Assessing long‐term fire risk at local scale by means of decision tree technique , 2006 .
[96] C. Larsen,et al. GIS analysis of spatial and temporal patterns of human-caused wildfires in the temperate rain forest of Vancouver Island, Canada , 2001 .
[97] Jeffrey P. Prestemon,et al. Human-ignited wildfire patterns and responses to policy shifts , 2015 .
[98] M. Moritz,et al. Global Pyrogeography: the Current and Future Distribution of Wildfire , 2009, PloS one.
[99] Raul Romero-Calcerrada,et al. GIS analysis of spatial patterns of human-caused wildfire ignition risk in the SW of Madrid (Central Spain) , 2008, Landscape Ecology.
[100] María José Lombardía,et al. Prediction of forest fires occurrences with area-level Poisson mixed models. , 2015, Journal of environmental management.
[101] Susan I. Stewart,et al. Conservation Threats Due to Human‐Caused Increases in Fire Frequency in Mediterranean‐Climate Ecosystems , 2009, Conservation biology : the journal of the Society for Conservation Biology.
[102] Ana Isabel Miranda,et al. The impact of spatial resolution on area burned and fire occurrence projections in Portugal under climate change , 2009 .
[103] Long Sun,et al. Wildfire ignition in the forests of southeast China: Identifying drivers and spatial distribution to predict wildfire likelihood , 2016 .
[104] Zheng-xiang Zhang,et al. Using GIS spatial analysis and logistic regression to predict the probabilities of human-caused grassland fires. , 2010 .
[105] C D Naylor,et al. Meta-analysis of controlled clinical trials. , 1989, The Journal of rheumatology.
[106] Hong S. He,et al. Spatial controls of occurrence and spread of wildfires in the Missouri Ozark Highlands. , 2008, Ecological applications : a publication of the Ecological Society of America.
[107] Lara Vilar,et al. Impacts of future land use/land cover on wildfire occurrence in the Madrid region (Spain) , 2015, Regional Environmental Change.
[108] Philip J. Burton,et al. A refinement of models projecting future Canadian fire regimes using homogeneous fire regime zones , 2014 .
[109] Lluís Brotons,et al. Predictive modelling of fire occurrences from different fire spread patterns in Mediterranean landscapes , 2015 .
[110] D. Riaño,et al. Multitemporal Modelling of Socio-Economic Wildfire Drivers in Central Spain between the 1980s and the 2000s: Comparing Generalized Linear Models to Machine Learning Algorithms , 2016, PloS one.
[111] K. O'rourke,et al. An historical perspective on meta-analysis: Dealing quantitatively with varying study results , 2007, Journal of the Royal Society of Medicine.
[112] A. P. Dimitrakopoulos,et al. Evaluation of the Canadian fire weather index system in an eastern Mediterranean environment , 2011 .
[113] Blas Mola-Yudego,et al. Different Factors for Different Causes: Analysis of the Spatial Aggregations of Fire Ignitions in Catalonia (Spain) , 2015, Risk analysis : an official publication of the Society for Risk Analysis.
[114] Thomas E. Dilts,et al. Predicting wildfire occurrence distribution with spatial point process models and its uncertainty assessment: a case study in the Lake Tahoe Basin, USA , 2015 .
[115] Jinghu Pan,et al. Building probabilistic models of fire occurrence and fire risk zoning using logistic regression in Shanxi Province, China , 2016, Natural Hazards.
[116] Alberto García-Martín,et al. The relationship between landscape patterns and human-caused fire occurrence in Spain , 2013 .
[117] Christopher Lucas,et al. Prediction of the probability of large fires in the Sydney region of south-eastern Australia using fire weather , 2009 .
[118] D. Butry,et al. Time to Burn: Modeling Wildland Arson as an Autoregressive Crime Function , 2005 .
[119] Marcos Rodrigues,et al. Analysis of recent spatial–temporal evolution of human driving factors of wildfires in Spain , 2016, Natural Hazards.
[120] Wang Wenhui,et al. Geospatial information on geographical and human factors improved anthropogenic fire occurrence modeling in the Chinese boreal forest , 2016 .
[121] Trisalyn A. Nelson,et al. Factors influencing national scale wildfire susceptibility in Canada , 2012 .
[122] Maryam Omidi Najafabadi,et al. Modeling forest fires in Mazandaran Province, Iran , 2015, Journal of Forestry Research.
[123] E. L. García Diez,et al. An Objective Forecasting Model for the Daily Outbreak of Forest Fires Based on Meteorological Considerations. , 1994 .
[124] Amparo Alonso-Betanzos,et al. An intelligent system for forest fire risk prediction and fire fighting management in Galicia , 2003, Expert Syst. Appl..
[125] Jesús San-Miguel-Ayanz,et al. Modeling temporal changes in human-caused wildfires in Mediterranean Europe based on Land Use-Land Cover interfaces , 2016 .
[126] Anuradha Eaturu,et al. Biophysical and anthropogenic controls of forest fires in the Deccan Plateau, India. , 2008, Journal of environmental management.
[127] Carlos J. Novillo,et al. Spatial modelling of socioeconomic data to understand patterns of human-caused wildfire ignition risk in the SW of Madrid (central Spain) , 2010 .
[128] Bernd Lennartz,et al. Impact of climate change on tree-ring growth of Scots pine, common beech and pedunculate oak in northeastern Germany , 2016 .
[129] M. Landi,et al. Human and biophysical drivers of fires in Semiarid Chaco mountains of Central Argentina. , 2015, The Science of the total environment.
[130] J. Pereira,et al. Exploring the spatial patterns of fire density in Southern Europe using Geographically Weighted Regression , 2014 .
[131] Avi Bar Massada,et al. Wildfire ignition-distribution modelling: a comparative study in the Huron-Manistee National Forest, Michigan, USA , 2013 .
[132] L. Giglio. MODIS Collection 5 Active Fire Product User's Guide Version 2.5 , 2013 .
[133] Jeffrey A. Cardille,et al. Occurrence of wildfire in the northern Great Lakes Region: Effects of land cover and land ownership assessed at multiple scales , 2001 .
[134] Zhihua Liu,et al. Climatic and Landscape Influences on Fire Regimes from 1984 to 2010 in the Western United States , 2015, PloS one.
[135] G. M. Byram,et al. A Drought Index for Forest Fire Control , 1968 .
[136] E. Chuvieco,et al. Integrating geospatial information into fire risk assessment , 2014 .
[137] Alexandra D. Syphard,et al. Predicting spatial patterns of fire on a southern California landscape , 2008 .
[138] Ross A. Bradstock,et al. Countervailing effects of urbanization and vegetation extent on fire frequency on the Wildland urban interface: disentangling fuel and ignition effects , 2014 .
[139] Eliot J. B. McIntire,et al. Exploiting Poisson additivity to predict fire frequency from maps of fire weather and land cover in boreal forests of Québec, Canada , 2017 .
[140] Nikos Koutsias,et al. Modelling long-term fire occurrence factors in Spain by accounting for local variations with geographically weighted regression , 2013 .
[141] D. Štraub,et al. Probabilistic prediction of daily fire occurrence in the Mediterranean with readily available spatio-temporal data , 2017 .
[142] Jim Gould,et al. Predicting the number of daily human-caused bushfires to assist suppression planning in south-west Western Australia , 2014 .
[143] Sunil Kumar,et al. Regional modeling of large wildfires under current and potential future climates in Colorado and Wyoming, USA , 2016, Climatic Change.
[144] Christian Messier,et al. Effects of climate on occurrence and size of large fires in a northern hardwood landscape: historical trends, forecasts, and implications for climate change in Témiscamingue, Québec. , 2009 .
[145] F. Chapin,et al. Human Impacts on the Fire Regime of Interior Alaska: Interactions among Fuels, Ignition Sources, and Fire Suppression , 2006, Ecosystems.
[146] A. Syphard,et al. Location, timing and extent of wildfire vary by cause of ignition , 2015 .
[147] Mario Mhawej,et al. Towards an establishment of a wildfire risk system in a Mediterranean country , 2016, Ecol. Informatics.
[148] Nikos Koutsias,et al. Multivariate analysis of landscape wildfire dynamics in a Mediterranean ecosystem of Greece , 2007 .
[149] Imad H. Elhajj,et al. Efficient forest fire occurrence prediction for developing countries using two weather parameters , 2011, Eng. Appl. Artif. Intell..
[150] Jorge Mateu,et al. Pinpointing spatio-temporal interactions in wildfire patterns , 2012, Stochastic Environmental Research and Risk Assessment.
[151] Jeffrey P. Prestemon,et al. Comparing production function models for wildfire risk analysis in the wildland–urban interface , 2005 .
[152] Xiongqing Zhang,et al. Modeling Forest Fire Occurrences Using Count-Data Mixed Models in Qiannan Autonomous Prefecture of Guizhou Province in China , 2015, PloS one.
[153] F. J. Lozano,et al. Assessment of several spectral indices derived from multi-temporal Landsat data for fire occurrence probability modelling , 2007 .
[154] Alan A. Ager,et al. A review of recent advances in risk analysis for wildfire management , 2013 .
[155] M. Wimberly,et al. Influences of forest roads on the spatial pattern of wildfire boundaries , 2011 .
[156] Cristina Vega-García,et al. On the comparative importance of fire danger rating indices and their integration with spatial and temporal variables for predicting daily human-caused fire occurrences in Spain , 2011 .
[157] Mark A. Finney,et al. The challenge of quantitative risk analysis for wildland fire , 2005 .
[158] A. J. Simard,et al. Determining the economic relationship between law enforcement activities and arson wildfires: a feasibility study in Arkansas , 1987 .
[159] Cristina Vega-García,et al. A multivariate analysis of biophysical factors and forest fires in Spain, 1991–2005 , 2012 .
[160] R. Ancog,et al. Fire occurrence and fire mitigation strategies in a grassland reforestation area in the Philippines , 2016 .
[161] J. Pereira,et al. Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest , 2012 .
[162] Dan Liu,et al. Research of Regional Forest Fire Prediction Method based on Multivariate Linear Regression , 2015 .
[163] Wolfgang Viechtbauer,et al. Bias and Efficiency of Meta-Analytic Variance Estimators in the Random-Effects Model , 2005 .
[164] Razali Yaakob,et al. Predictive Models for Hotspots Occurrence using Decision Tree Algorithms and Logistic Regression , 2013 .
[165] Nicolas Faivre,et al. Controls on the spatial pattern of wildfire ignitions in Southern California , 2014 .
[166] F. Moreira,et al. Modeling and mapping wildfire ignition risk in Portugal , 2009 .
[167] Zhao-Liang Li,et al. Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data , 2002 .
[168] Brian R. Sturtevant,et al. Human and biophysical factors influencing modern fire disturbance in northern Wisconsin , 2007 .
[169] David R. Brillinger,et al. Probability based models for estimation of wildfire risk , 2004 .
[170] Jeffrey P. Prestemon,et al. Spatial distribution of human-caused forest fires in Galicia (NW Spain). , 2010 .
[171] Wolfgang Viechtbauer,et al. Conducting Meta-Analyses in R with the metafor Package , 2010 .
[172] L. Hedges,et al. Introduction to Meta‐Analysis , 2009, International Coaching Psychology Review.
[173] Ali Karouni,et al. Applying Decision Tree Algorithm and Neural Networks to Predict Forest Fires in Lebanon , 2014 .
[174] Steen Magnussen,et al. Prediction of daily lightning- and human-caused fires in British Columbia , 2012 .
[175] E. Chuvieco,et al. Development of a framework for fire risk assessment using remote sensing and geographic information system technologies , 2010 .
[176] Susan I. Stewart,et al. Spatial and temporal drivers of wildfire occurrence in the context of rural development in northern Wisconsin, USA , 2012 .
[177] Eric F. Lambin,et al. Land use and vegetation fires in Jambi Province, Sumatra, Indonesia , 2003 .
[178] David T. Butry,et al. Effect of fire prevention programs on accidental and incendiary wildfires on tribal lands in the United States , 2015 .
[179] M. Vasconcelos,et al. Spatial Prediction of Fire Ignition Probabilities: Comparing Logistic Regression and Neural Networks , 2001 .
[180] M. Moritz,et al. Environmental controls on the distribution of wildfire at multiple spatial scales , 2009 .