Articles | Volume 13, issue 2
https://doi.org/10.5194/nhess-13-311-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-13-311-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Modelling long-term fire occurrence factors in Spain by accounting for local variations with geographically weighted regression
J. Martínez-Fernández
INIA-CIFOR, Forest Research Centre, Department of Forest Ecology and Genetics, Carretera de La Coruña, Km. 7,5 28040, Madrid, Spain
E. Chuvieco
Department of Geography and Geology, University of Alcalá, Calle Colegios 2, 28801 Alcalá de Henares, Spain
N. Koutsias
Department of Environmental and Natural Resources Management, University of Western Greece, G. Seferi 2, 30100 Agrinio, Greece
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- Joint Analysis of Lightning-Induced Forest Fire and Surface Influence Factors in the Great Xing’an Range Q. Zhang et al. 10.3390/f13111867
- 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
- Exploring spatial patterns and drivers of forest fires in Portugal (1980–2014) A. Nunes et al. 10.1016/j.scitotenv.2016.03.121
- 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
- Country-Level Modeling of Forest Fires in Austria and the Czech Republic: Insights from Open-Source Data S. Milanović et al. 10.3390/su15065269
- Estimating Forest Fire Losses Using Stochastic Approach: Case Study of the Kroumiria Mountains (Northwestern Tunisia) A. Toujani et al. 10.1080/08839514.2018.1514808
- Analysis of recent spatial–temporal evolution of human driving factors of wildfires in Spain M. Rodrigues et al. 10.1007/s11069-016-2533-4
- 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
- Spatial Modelling of Fire Drivers in Urban-Forest Ecosystems in China F. Guo et al. 10.3390/f8060180
- 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
- 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
- Decreasing Fires in Mediterranean Europe M. Turco et al. 10.1371/journal.pone.0150663
- Assessing different measures of fire risk for Cultural World Heritage Sites M. Falk & E. Hagsten 10.1186/s40494-023-01026-y
- 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
- 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
- Vulnerability Variables and Their Effect on Wildfires in Galicia (Spain). A Panel Data Analysis J. de Diego et al. 10.3390/land10101004
- 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
- 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
- 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
- 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
- Are Wildfires Knocking on the Built-Up Areas Door? L. Mancini et al. 10.3390/f9050234
- 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
- Environmental factors affecting wildfire-burned areas in southeastern France, 1970–2019 C. Bountzouklis et al. 10.5194/nhess-22-1181-2022
- Wildfire Risk Forecasting Using Weights of Evidence and Statistical Index Models G. Salavati et al. 10.3390/su14073881
- 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
- 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
- Half-Century Changes in LULC and Fire in Two Iberian Inner Mountain Areas C. Sequeira et al. 10.3390/fire2030045
- Forest fuel management for wildfire prevention in Spain: a quantitative SWOT analysis E. Marino et al. 10.1071/WF12203
- Spatio-Temporal Configurations of Human-Caused Fires in Spain through Point Patterns S. Costafreda-Aumedes et al. 10.3390/f7090185
- Probabilistic prediction of daily fire occurrence in the Mediterranean with readily available spatio-temporal data P. Papakosta & D. Straub 10.3832/ifor1686-009
- 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
- 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
- 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
- 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
- Prediction and driving factors of forest fire occurrence in Jilin Province, China B. Gao et al. 10.1007/s11676-023-01663-w
- A Comparison between Spatial Econometric Models and Random Forest for Modeling Fire Occurrence C. Song et al. 10.3390/su9050819
- 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
- Exploring spatially varying relationships between forest fire and environmental factors at different quantile levels Q. Cao et al. 10.1071/WF19010
- Integration of Fire Risk in a Sustainable Forest Management Model M. Costa Freitas et al. 10.3390/f8080270
- The Influence of Socioeconomic Factors on Human Wildfire Ignitions in the Pacific Northwest, USA C. Reilley et al. 10.3390/fire6080300
- 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
- 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
- Forest fires across Portuguese municipalities: zones of similar incidence, interactions and benchmarks V. Martinho 10.1007/s10651-018-0411-9
- Drivers of forest fire occurrence in the cultural landscape of Central Europe M. Adámek et al. 10.1007/s10980-018-0712-2
- GIS-Based Local Spatial Statistical Model of Cholera Occurrence: Using Geographically Weighted Regression F. Nkeki & A. Osirike 10.4236/jgis.2013.56050
- Wildfires as a major challenge for natural regeneration in Atlantic Forest J. dos Santos et al. 10.1016/j.scitotenv.2018.09.016
- Fire danger assessment in Iran based on geospatial information S. Eskandari & E. Chuvieco 10.1016/j.jag.2015.05.006
- Human-caused fire occurrence modelling in perspective: a review S. Costafreda-Aumedes et al. 10.1071/WF17026
- Modeling Fire Occurrence at the City Scale: A Comparison between Geographically Weighted Regression and Global Linear Regression C. Song et al. 10.3390/ijerph14040396
- 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
- 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
- Developing Lebanon's fire danger forecast G. Mitri et al. 10.1016/j.ijdrr.2017.06.028
- Probabilistic modelling of wildfire occurrence based on logistic regression, Niassa Reserve, Mozambique E. Nhongo et al. 10.1080/19475705.2019.1615559
- Spatial-Temporal Analysis of Injury Severity with Geographically Weighted Panel Logistic Regression Model D. Xiao et al. 10.1155/2019/8521649
- Cross-regional modelling of fire occurrence in the Alps and the Mediterranean Basin İ. Bekar et al. 10.1071/WF19158
- Regional livestock grazing, human demography and fire incidence in the Portuguese landscape F. Torres-Manso et al. 10.5424/fs/2014231-02758
- 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
- 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
- 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
- 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
- Remote sensing and GIS-based forest fire risk zone mapping: The case of Manisa, Turkey D. GÜLÇİN & B. DENİZ 10.18182/tjf.649747
- Wildfire prediction using zero-inflated negative binomial mixed models: Application to Spain M. Bugallo et al. 10.1016/j.jenvman.2022.116788
- 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
- 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
- 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
- Using GIS and Random Forests to identify fire drivers in a forest city, Yichun, China Z. Su et al. 10.1080/19475705.2018.1505667
- Climate change impact on future wildfire danger and activity in southern Europe: a review J. Dupuy et al. 10.1007/s13595-020-00933-5
- Temporal variations and change in forest fire danger in Europe for 1960–2012 A. Venäläinen et al. 10.5194/nhess-14-1477-2014
- 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
- 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
- Coupling heat wave and wildfire occurrence across multiple ecoregions within a Eurasia longitudinal gradient E. Mario et al. 10.1016/j.scitotenv.2023.169269
- A multivariate approach to assess the structural determinants of large wildfires: evidence from a Mediterranean country D. Sousa et al. 10.1071/WF20119
- 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
- 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
- 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
- Modelling spatial patterns of wildfire occurrence in South-Eastern Australia Y. Zhang et al. 10.1080/19475705.2016.1155501
- 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
- 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
- The influence of land abandonment on forest disturbance regimes: a global review G. Mantero et al. 10.1007/s10980-020-01147-w
- Application of the Socio-Ecological System Framework to Forest Fire Risk Management: A Systematic Literature Review I. Vigna et al. 10.3390/su13042121
- 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
- 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
- A Bayesian modeling of wildfire probability in the Zagros Mountains, Iran A. Jaafari et al. 10.1016/j.ecoinf.2017.03.003
- 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
- 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
- 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
- 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
- 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
- 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
- Spatial distribution of grassland fires at the regional scale based on the MODIS active fire products Z. Zhang et al. 10.1071/WF16026
- 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
- Forest Fire Probability Mapping in Eastern Serbia: Logistic Regression versus Random Forest Method S. Milanović et al. 10.3390/f12010005
- Poisson mixed models for predicting number of fires M. Boubeta et al. 10.1071/WF17037
- 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
- A data mining approach for global burned area mapping R. Ramo et al. 10.1016/j.jag.2018.05.027
- Improvement of fire danger modelling with geographically weighted logistic model H. Zhang et al. 10.1071/WF13195
- 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
- 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
- Fire Danger Observed from Space M. Pettinari & E. Chuvieco 10.1007/s10712-020-09610-8
- 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
- Exploring Drivers of Wildfires in Spain R. Hammed et al. 10.3390/land13060762
- On the Impacts of Historical and Future Climate Changes to the Sustainability of the Main Sardinian Forests S. Cipolla & N. Montaldo 10.3390/rs14194893
- 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
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- 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
- Predicting the occurrence of wildfires with binary structured additive regression models L. Ríos-Pena et al. 10.1016/j.jenvman.2016.11.044
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