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Serra, Laura, Saez, Marc, Juan, Pablo, Varga, Diego, Mateu, Jorge (2014) A spatio-temporal Poisson hurdle point process to model wildfires. Stochastic Environmental Research and Risk Assessment, 28 (7). 1671-1684 doi:10.1007/s00477-013-0823-x

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Reference TypeJournal (article/letter/editorial)
TitleA spatio-temporal Poisson hurdle point process to model wildfires
JournalStochastic Environmental Research and Risk Assessment
AuthorsSerra, LauraAuthor
Saez, MarcAuthor
Juan, PabloAuthor
Varga, DiegoAuthor
Mateu, JorgeAuthor
Year2014 (October)Volume28
Issue7
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s00477-013-0823-xSearch in ResearchGate
Generate Citation Formats
Mindat Ref. ID9339907Long-form Identifiermindat:1:5:9339907:0
GUID0
Full ReferenceSerra, Laura, Saez, Marc, Juan, Pablo, Varga, Diego, Mateu, Jorge (2014) A spatio-temporal Poisson hurdle point process to model wildfires. Stochastic Environmental Research and Risk Assessment, 28 (7). 1671-1684 doi:10.1007/s00477-013-0823-x
Plain TextSerra, Laura, Saez, Marc, Juan, Pablo, Varga, Diego, Mateu, Jorge (2014) A spatio-temporal Poisson hurdle point process to model wildfires. Stochastic Environmental Research and Risk Assessment, 28 (7). 1671-1684 doi:10.1007/s00477-013-0823-x
In(2014, October) Stochastic Environmental Research and Risk Assessment Vol. 28 (7) Springer Science and Business Media LLC

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Serra, Laura, Juan, Pablo, Varga, Diego, Mateu, Jorge, Saez, Marc (2013) Spatial pattern modelling of wildfires in Catalonia, Spain 2004–2008. Environmental Modelling & Software, 40. 235-244 doi:10.1016/j.envsoft.2012.09.014
Chaudhuri, Somnath, Juan, Pablo, Saurina, Laura Serra, Varga, Diego, Saez, Marc (2023) Modeling spatial dependencies of natural hazards in coastal regions: a nonstationary approach with barriers. Stochastic Environmental Research and Risk Assessment, 37 (11) 4479-4498 doi:10.1007/s00477-023-02519-9
Díaz-Avalos, Carlos, Juan, P., Mateu, J. (2014) Significance tests for covariate-dependent trends in inhomogeneous spatio-temporal point processes. Stochastic Environmental Research and Risk Assessment, 28 (3). 593-609 doi:10.1007/s00477-013-0775-1
Calatayud, Julia, Jornet, Marc, Mateu, Jorge (2023) Spatio-temporal stochastic differential equations for crime incidence modeling. Stochastic Environmental Research and Risk Assessment, 37 (5) 1839-1854 doi:10.1007/s00477-022-02369-x
Juan, P., Mateu, J., Saez, M. (2012) Pinpointing spatio-temporal interactions in wildfire patterns. Stochastic Environmental Research and Risk Assessment, 26 (8). 1131-1150 doi:10.1007/s00477-012-0568-y
Escudero, Isabel, Angulo, José M., Mateu, Jorge, Choiruddin, Achmad (2025) Crime risk assessment through Cox and self-exciting spatio-temporal point processes. Stochastic Environmental Research and Risk Assessment, 39 (1). doi:10.1007/s00477-024-02857-2
Chaudhuri, Somnath, Barceló, Maria A., Juan, Pablo, Varga, Diego, Bolin, David, Rue, Håvard, Saez, Marc (2025) Enhanced spatial modeling on linear networks using Gaussian Whittle-Matérn fields. Stochastic Environmental Research and Risk Assessment, 39 (3). doi:10.1007/s00477-025-02912-6
Angulo, J. M., Madrid, A. E. (2014) A deformation/blurring-based spatio-temporal model. Stochastic Environmental Research and Risk Assessment, 28 (4). 1061-1073 doi:10.1007/s00477-013-0801-3
Rodrigues, Alexandre, González, Jonatan A., Mateu, Jorge (2023) A conditional machine learning classification approach for spatio-temporal risk assessment of crime data. Stochastic Environmental Research and Risk Assessment, 37 (7) 2815-2828 doi:10.1007/s00477-023-02420-5
Jalilian, Abdollah, Mateu, Jorge (2021) A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany. Stochastic Environmental Research and Risk Assessment, 35 (4) 797-812 doi:10.1007/s00477-021-02003-2
Cerqueti, Roy (2014) Exhaustion of resources: a marked temporal process framework. Stochastic Environmental Research and Risk Assessment, 28 (4). 1023-1033 doi:10.1007/s00477-013-0798-7
 
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