114 citations as recorded by crossref.

1. An environmental management experience to control wildfires in the mid-mountain mediterranean area: Shrub clearing to generate mosaic landscapes T. Lasanta et al. 10.1016/j.landusepol.2022.106147
2. Joint Analysis of Lightning-Induced Forest Fire and Surface Influence Factors in the Great Xing’an Range Q. Zhang et al. 10.3390/f13111867
3. Detecting urban land-use configuration effects on NO2 and NO variations using geographically weighted land use regression W. Song et al. 10.1016/j.atmosenv.2018.10.031
4. Exploring spatial patterns and drivers of forest fires in Portugal (1980–2014) A. Nunes et al. 10.1016/j.scitotenv.2016.03.121
5. Assessing fire hazard potential and its main drivers in Mazandaran province, Iran: a data-driven approach H. Adab et al. 10.1007/s10661-018-7052-1
6. Country-Level Modeling of Forest Fires in Austria and the Czech Republic: Insights from Open-Source Data S. Milanović et al. 10.3390/su15065269
7. Estimating Forest Fire Losses Using Stochastic Approach: Case Study of the Kroumiria Mountains (Northwestern Tunisia) A. Toujani et al. 10.1080/08839514.2018.1514808
8. Analysis of recent spatial–temporal evolution of human driving factors of wildfires in Spain M. Rodrigues et al. 10.1007/s11069-016-2533-4
9. Forest composition and density shaped long-term fire regimes and catchment-lake interactions in the temperate-mixed mountain forests of Central Europe G. Florescu et al. 10.1016/j.foreco.2024.122267
10. Spatial Modelling of Fire Drivers in Urban-Forest Ecosystems in China F. Guo et al. 10.3390/f8060180
11. Recent land-use and land-cover changes and its driving factors in a fire-prone area of southwestern Turkey O. Viedma et al. 10.1016/j.jenvman.2017.02.074
12. A Combination of Human Activity and Climate Drives Forest Fire Occurrence in Central Europe: The Case of the Czech Republic R. Berčák et al. 10.3390/fire7040109
13. Decreasing Fires in Mediterranean Europe M. Turco et al. 10.1371/journal.pone.0150663
14. Assessing different measures of fire risk for Cultural World Heritage Sites M. Falk & E. Hagsten 10.1186/s40494-023-01026-y
15. Fire occurrence zoning from local to global scale in the European Mediterranean basin: implications for multi-scale fire management and policy N. Koutsias et al. 10.3832/ifor1513-008
16. Building probabilistic models of fire occurrence and fire risk zoning using logistic regression in Shanxi Province, China J. Pan et al. 10.1007/s11069-016-2160-0
17. Vulnerability Variables and Their Effect on Wildfires in Galicia (Spain). A Panel Data Analysis J. de Diego et al. 10.3390/land10101004
18. Human-caused ignition pathways under climate change scenarios in Eastern Spain P. Gelabert et al. 10.1080/19475705.2025.2472864
19. Spatial patterns and drivers of fire occurrence in a Mediterranean environment: a case study of southern Croatia K. Pavlek et al. 10.1080/00167223.2016.1266272
20. Urban Expansion and Spatiotemporal Relationships with Driving Factors Revealed by Geographically Weighted Logistic Regression D. Guanglong et al. 10.5814/j.issn.1674-764x.2017.03.008
21. Predictive model of spatial scale of forest fire driving factors: a case study of Yunnan Province, China W. Li et al. 10.1038/s41598-022-23697-6
22. Conflict and Climate: Drivers of Fire Activity in Syria in the Twenty-First Century M. Zubkova et al. 10.1175/EI-D-21-0009.1
23. Are Wildfires Knocking on the Built-Up Areas Door? L. Mancini et al. 10.3390/f9050234
24. Comparative analysis of spatial variation in forest fire drivers between boreal and subtropical ecosystems in China Z. Su et al. 10.1016/j.foreco.2019.117669
25. Environmental factors affecting wildfire-burned areas in southeastern France, 1970–2019 C. Bountzouklis et al. 10.5194/nhess-22-1181-2022
26. Wildfire Risk Forecasting Using Weights of Evidence and Statistical Index Models G. Salavati et al. 10.3390/su14073881
27. Forest fires in the wildland–urban interface: A spatial analysis of forest fragmentation and human impacts M. Chas-Amil et al. 10.1016/j.apgeog.2013.06.010
28. Predicting forest fire kernel density at multiple scales with geographically weighted regression in Mexico N. Monjarás-Vega et al. 10.1016/j.scitotenv.2020.137313
29. Half-Century Changes in LULC and Fire in Two Iberian Inner Mountain Areas C. Sequeira et al. 10.3390/fire2030045
30. Forest fuel management for wildfire prevention in Spain: a quantitative SWOT analysis E. Marino et al. 10.1071/WF12203
31. Spatio-Temporal Configurations of Human-Caused Fires in Spain through Point Patterns S. Costafreda-Aumedes et al. 10.3390/f7090185
32. Probabilistic prediction of daily fire occurrence in the Mediterranean with readily available spatio-temporal data P. Papakosta & D. Straub 10.3832/ifor1686-009
33. Does forest biomass harvesting for energy reduce fire hazard in the Mediterranean basin? a case study in the Caroig Massif (Eastern Spain) J. Madrigal et al. 10.1007/s10342-016-1004-5
34. Use of machine learning as a tool for determining fire management units in the brazilian atlantic forest R. JUVANHOL et al. 10.1590/0001-3765202320201039
35. Identifying Influential Spatial Drivers of Forest Fires through Geographically and Temporally Weighted Regression Coupled with a Continuous Invasive Weed Optimization Algorithm P. Pahlavani et al. 10.3390/fire7010033
36. Examining the diffusion of coronavirus disease 2019 cases in a metropolis: a space syntax approach Y. Yao et al. 10.1186/s12942-021-00270-4
37. Prediction and driving factors of forest fire occurrence in Jilin Province, China B. Gao et al. 10.1007/s11676-023-01663-w
38. A Comparison between Spatial Econometric Models and Random Forest for Modeling Fire Occurrence C. Song et al. 10.3390/su9050819
39. Forest disturbance regimes and trends in continental Spain (1985–2023) using dense landsat time series S. Miguel et al. 10.1016/j.envres.2024.119802
40. Exploring spatially varying relationships between forest fire and environmental factors at different quantile levels Q. Cao et al. 10.1071/WF19010
41. Integration of Fire Risk in a Sustainable Forest Management Model M. Costa Freitas et al. 10.3390/f8080270
42. The Influence of Socioeconomic Factors on Human Wildfire Ignitions in the Pacific Northwest, USA C. Reilley et al. 10.3390/fire6080300
43. A geomorphometric model to determine topographic parameters controlling wildfires occurrence in tropical dry forests A. Quesada-Román & D. Vargas-Sanabria 10.1016/j.jaridenv.2021.104674
44. Impacts of future land use/land cover on wildfire occurrence in the Madrid region (Spain) M. Gallardo et al. 10.1007/s10113-015-0819-9
45. Forest fires across Portuguese municipalities: zones of similar incidence, interactions and benchmarks V. Martinho 10.1007/s10651-018-0411-9
46. Drivers of forest fire occurrence in the cultural landscape of Central Europe M. Adámek et al. 10.1007/s10980-018-0712-2
47. GIS-Based Local Spatial Statistical Model of Cholera Occurrence: Using Geographically Weighted Regression F. Nkeki & A. Osirike 10.4236/jgis.2013.56050
48. Wildfires as a major challenge for natural regeneration in Atlantic Forest J. dos Santos et al. 10.1016/j.scitotenv.2018.09.016
49. Fire danger assessment in Iran based on geospatial information S. Eskandari & E. Chuvieco 10.1016/j.jag.2015.05.006
50. Human-caused fire occurrence modelling in perspective: a review S. Costafreda-Aumedes et al. 10.1071/WF17026
51. Modeling Fire Occurrence at the City Scale: A Comparison between Geographically Weighted Regression and Global Linear Regression C. Song et al. 10.3390/ijerph14040396
52. Studying the occurrence and burnt area of wildfires using zero-one-inflated structured additive beta regression L. Ríos-Pena et al. 10.1016/j.envsoft.2018.03.008
53. Spatial-temporal analysis of pedestrian injury severity with geographically and temporally weighted regression model in Hong Kong X. Xu et al. 10.1016/j.trf.2020.02.003
54. Developing Lebanon's fire danger forecast G. Mitri et al. 10.1016/j.ijdrr.2017.06.028
55. Probabilistic modelling of wildfire occurrence based on logistic regression, Niassa Reserve, Mozambique E. Nhongo et al. 10.1080/19475705.2019.1615559
56. Spatial-Temporal Analysis of Injury Severity with Geographically Weighted Panel Logistic Regression Model D. Xiao et al. 10.1155/2019/8521649
57. Cross-regional modelling of fire occurrence in the Alps and the Mediterranean Basin İ. Bekar et al. 10.1071/WF19158
58. Regional livestock grazing, human demography and fire incidence in the Portuguese landscape F. Torres-Manso et al. 10.5424/fs/2014231-02758
59. Modelling temporal variation of fire-occurrence towards the dynamic prediction of human wildfire ignition danger in northeast Spain Y. Martín et al. 10.1080/19475705.2018.1526219
60. Exploring Multi-Driver Influences on Indonesia's Biomass Fire Patterns from 2002 to 2019 through Geographically Weighted Regression S. Wee et al. 10.1007/s41651-023-00166-w
61. Comparative analysis of CORINE and climate change initiative land cover maps in Europe: Implications for wildfire occurrence estimation at regional and local scales L. Vilar et al. 10.1016/j.jag.2019.01.019
62. Geographically weighted logistic regression approach to explore the spatial variability in travel behaviour and built environment interactions: Accounting simultaneously for demographic and socioeconomic characteristics F. Nkeki & M. Asikhia 10.1016/j.apgeog.2019.05.008
63. Remote sensing and GIS-based forest fire risk zone mapping: The case of Manisa, Turkey D. GÜLÇİN & B. DENİZ 10.18182/tjf.649747
64. Wildfire prediction using zero-inflated negative binomial mixed models: Application to Spain M. Bugallo et al. 10.1016/j.jenvman.2022.116788
65. Spatial point process modeling applied to the assessment of risk factors associated with forest wildfires incidence in Castellón, Spain P. Aragó et al. 10.1007/s10342-016-0945-z
66. Integrated spatial generalized additive modeling for forest fire prediction: a case study in Fujian Province, China C. Li et al. 10.1007/s11676-025-01822-1
67. A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China) H. Hong et al. 10.1007/s12665-017-6981-2
68. Different Factors for Different Causes: Analysis of the Spatial Aggregations of Fire Ignitions in Catalonia (Spain) J. González‐Olabarria et al. 10.1111/risa.12339
69. Using GIS and Random Forests to identify fire drivers in a forest city, Yichun, China Z. Su et al. 10.1080/19475705.2018.1505667
70. Climate change impact on future wildfire danger and activity in southern Europe: a review J. Dupuy et al. 10.1007/s13595-020-00933-5
71. Temporal variations and change in forest fire danger in Europe for 1960–2012 A. Venäläinen et al. 10.5194/nhess-14-1477-2014
72. Modeling the spatial variation of the explanatory factors of human-caused wildfires in Spain using geographically weighted logistic regression M. Rodrigues et al. 10.1016/j.apgeog.2014.01.011
73. Spatial heterogeneity of county-level grain protein content in winter wheat in the Huang-Huai-Hai region of China Y. Zhao et al. 10.1016/j.eja.2022.126466
74. Coupling heat wave and wildfire occurrence across multiple ecoregions within a Eurasia longitudinal gradient E. Mario et al. 10.1016/j.scitotenv.2023.169269
75. A multivariate approach to assess the structural determinants of large wildfires: evidence from a Mediterranean country D. Sousa et al. 10.1071/WF20119
76. Forest Fire Driving Factors and Fire Risk Zoning Based on an Optimal Parameter Logistic Regression Model: A Case Study of the Liangshan Yi Autonomous Prefecture, China F. Zhang et al. 10.3390/fire6090336
77. Geospatial information on geographical and human factors improved anthropogenic fire occurrence modeling in the Chinese boreal forest F. Guo et al. 10.1139/cjfr-2015-0373
78. Fire-Risk Assessment in Northern Greece Using a Modified Fosberg Fire-Weather Index That Includes Forest Coverage H. Kambezidis & G. Kalliampakos 10.1155/2016/8108691
79. Modelling spatial patterns of wildfire occurrence in South-Eastern Australia Y. Zhang et al. 10.1080/19475705.2016.1155501
80. Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics Z. Shuo et al. 10.1515/geo-2020-0265
81. Natural or man-made? Finding the drivers of forest fires within the protected area habitats: a case study from the lower Shivalik Landscape, Western Himalaya T. Mondal et al. 10.1007/s11069-024-06523-2
82. The influence of land abandonment on forest disturbance regimes: a global review G. Mantero et al. 10.1007/s10980-020-01147-w
83. Application of the Socio-Ecological System Framework to Forest Fire Risk Management: A Systematic Literature Review I. Vigna et al. 10.3390/su13042121
84. A comprehensive spatial-temporal analysis of driving factors of human-caused wildfires in Spain using Geographically Weighted Logistic Regression M. Rodrigues et al. 10.1016/j.jenvman.2018.07.098
85. Wildfires and the role of their drivers are changing over time in a large rural area of west-central Spain O. Viedma et al. 10.1038/s41598-018-36134-4
86. A Bayesian modeling of wildfire probability in the Zagros Mountains, Iran A. Jaafari et al. 10.1016/j.ecoinf.2017.03.003
87. Examining Spatial Variation in the Effects of Japanese Red Pine (Pinus densiflora) on Burn Severity Using Geographically Weighted Regression H. Lee et al. 10.3390/su9050804
88. Modeling wildfire drivers in Chinese tropical forest ecosystems using global logistic regression and geographically weighted logistic regression Z. Su et al. 10.1007/s11069-021-04733-6
89. Analyzing the risk factors of residential fires in urban and rural census tracts of Ohio using panel data analysis M. Hossain & O. Smirnov 10.1016/j.apgeog.2022.102863
90. Improving the Prediction of Grain Protein Content in Winter Wheat at the County Level with Multisource Data: A Case Study in Jiangsu Province of China Y. Song et al. 10.3390/agronomy13102577
91. Fire from policy, human interventions, or biophysical factors? Temporal–spatial patterns of forest fire in southwestern China Q. Xiong et al. 10.1016/j.foreco.2020.118381
92. Current and future estimates for the fire frequency and the fire rotation period in the main woodland types of peninsular Spain: a case-study approach A. Vázquez et al. 10.5424/fs/2015242-06454
93. Spatial distribution of grassland fires at the regional scale based on the MODIS active fire products Z. Zhang et al. 10.1071/WF16026
94. Spatial prediction of wildfire probability in the Hyrcanian ecoregion using evidential belief function model and GIS M. Nami et al. 10.1007/s13762-017-1371-6
95. Forest Fire Probability Mapping in Eastern Serbia: Logistic Regression versus Random Forest Method S. Milanović et al. 10.3390/f12010005
96. Poisson mixed models for predicting number of fires M. Boubeta et al. 10.1071/WF17037
97. Designing a Model to Display the Relation between Social Vulnerability and Anthropogenic Risk of Wildfires in Galicia, Spain J. de Diego et al. 10.3390/urbansci3010032
98. A data mining approach for global burned area mapping R. Ramo et al. 10.1016/j.jag.2018.05.027
99. Improvement of fire danger modelling with geographically weighted logistic model H. Zhang et al. 10.1071/WF13195
100. Remote sensing and spatial analysis for estimating vegetation fire risk in the Puglia Region G. Cillis et al. 10.3832/efor4800-022
101. Should Forest Transition Theory include effects on forest fires? The case of Spain in the second half of the twentieth century I. Iriarte-Goñi & M. Ayuda 10.1016/j.landusepol.2018.03.009
102. Human Activity Affects Forest Fires: The Impact of Anthropogenic Factors on the Density of Forest Fires in Poland A. Kolanek et al. 10.3390/f12060728
103. Fire Danger Observed from Space M. Pettinari & E. Chuvieco 10.1007/s10712-020-09610-8
104. Geographically-weighted regression of knowledge and behaviour determinants to anti-malarial recommending and dispensing practice among medicine retailers in western Kenya: capacitating targeted interventions A. Rusk et al. 10.1186/s12936-016-1599-5
105. Exploring Drivers of Wildfires in Spain R. Hammed et al. 10.3390/land13060762
106. On the Impacts of Historical and Future Climate Changes to the Sustainability of the Main Sardinian Forests S. Cipolla & N. Montaldo 10.3390/rs14194893
107. A European-scale analysis reveals the complex roles of anthropogenic and climatic factors in driving the initiation of large wildfires C. Ochoa et al. 10.1016/j.scitotenv.2024.170443
108. Focos de calor na América do Sul: evidências para o período de 2002 a 2018 W. Sousa & G. Irffi 10.1590/1980-53575422wlgi
109. Ranking the importance of Wildfires' human drivers through a multi-model regression approach L. Mancini et al. 10.1016/j.eiar.2018.06.003
110. Investigating spatially varying relationships between the distribution of rural settlements and related influences C. Yuan et al. 10.3389/fsufs.2024.1519194
111. Evolution of forest fires in Portugal: from spatio-temporal point events to smoothed density maps M. Tonini et al. 10.1007/s11069-016-2637-x
112. Combining Participatory Mapping and Geospatial Analysis Techniques to Assess Wildfire Risk in Rural North Vietnam A. Bartolucci et al. 10.1007/s00267-021-01582-8
113. Evaluation of geographically weighted logistic model and mixed effect model in forest fire prediction in northeast China Z. Zhang et al. 10.3389/ffgc.2022.1040408
114. Predicting the occurrence of wildfires with binary structured additive regression models L. Ríos-Pena et al. 10.1016/j.jenvman.2016.11.044