Listar por autoría "3b5f53d2-e5d4-46ce-9325-5db3ff652b22"
Mostrando ítems 1-14 de 14
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A spatio-temporal Poisson hurdle point process to model wildfires
Serra, Laura; Sáez Zafra, Marc; Juan, Pablo; Varga, Diego; Mateu, Jorge Springer (2013-11)Wildfires have been studied in many ways, for instance as a spatial point pattern or through modeling the size of fires or the relative risk of big fires. Lately a large variety of complex statistical models can be fitted ... -
Air Quality Trend of PM10. Statistical Models for Assessing the Air Quality Impact of Environmental Policies
Vicente, Ana Belen; Juan, Pablo; Meseguer Costa, Sergio; Serra, Laura; Trilles, Sergio MDPI (2019)A statistical modelling of PM10 concentration (2006–2015) is applied to understand the behaviour, to know the influence of the variables to exposure risk, to treat the missing data to evaluate air quality, and to estimate ... -
Analysis of precise climate pattern of Maldives. A complex island structure
Chaudhuri, Somnath; Juan, Pablo; Serra, Laura Elsevier (2021-04-18)Republic of Maldives is located on the south and south-western region of the coast of India. The country is one of the most geographically dispersed nations in the world, with 1192 coral islands grouped into 26 natural ... -
Aplicación de modelos de procesos puntuales para la caracterización espacio-temporal del régimen de incendios en el este de España
Aragó Galindo, Pau; Salvador, Patricia; Juan, Pablo; Díaz-Avalos, Carlos; Serra, Laura; Sáez Zafra, Marc; Varga, Diego; Trilles, Sergio; Mateu, Jorge Sociedad Española de Ciencias Forestales (2013-06)Las incidencias de los modelos espacio-temporal de los incendios forestales y sus relaciones con las variables meteorológicas, geográficas y usos del suelo son analizadas en este trabajo. Estas relaciones pueden ser tratadas ... -
Association between the New COVID-19 Cases and Air Pollution with Meteorological Elements in Nine Counties of New York State
Díaz-Avalos, Carlos; Juan, Pablo; Chaudhuri, Somnath; Sáez, Marc; Serra, Laura MDPI (2020-12-04)The principal objective of this article is to assess the possible association between the number of COVID-19 infected cases and the concentrations of fine particulate matter (PM2.5) and ozone (O3), atmospheric pollutants ... -
Bayesian and network models with covariate effects for predicting heating energy demand
Juan, Pablo; Braulio-Gonzalo, Marta; Díaz Ávalos, Carlos; Bovea, María D; Serra, Laura Elsevier (2022)The spatial effect is an element presented in many geostatistical works and it should be incorporated into studies regarding the heating energy demand of residential building stocks. The most common approaches have been ... -
Estudio de la fiabilidad de un sensor IoT de PM de bajo coste en ambientes interiores y exteriores
Juan, Pablo; Trilles, Sergio; Vicente, Ana Belen; Meseguer Costa, Sergio; Serra, Laura Congreso Nacional del Medio Ambiente (CONAMA) (2020)El conocimiento en tiempo real de la calidad del aire permite alertar a la población frente a los episodios de alta concentración de una forma rápida y directa. Los recientes avances en el campo de la sensorización, y las ... -
Intersectoral and spatial spill-overs of firms’ bankruptcy in Spain
Serra, Laura; Detotto, Claudio; Juan, Pablo; Vannini, Marco Springer (2022)This paper employs provincial data to study the spatial and intersectoral spill-overs in aggregate failure rates in Spain, by using an Integrated Nested Laplace Approximation. The analysis is based on NUTS3 data over the ... -
Modeling fire size of wildfires in Castellon (Spain), using spatiotemporal marked point processes
Díaz Ávalos, Carlos; Juan, Pablo; Serra, Laura Elsevier (2016-12-01)The extent of fires, their periodicity and their impact on terrestrial communities have been a major con- cern in the last century. Wildfires play an important role in shaping landscapes and as a source of CO 2 and particulate ... -
Relación entre contaminantes atmosféricos, variables meteorológicas y casos de COVID-19 en ciudades europeas
Vicente, Ana Belen; Chaudhuri, Somnath; Juan, Pablo; Díaz Ávalos, Carlos; Serra, Laura Congreso Nacional del Medio Ambiente (CONAMA) (2020)La preocupación por conocer la relación entre los niveles de contaminación del aire y las muertes por enfermedades virales no es nueva. Algunos estudios encontraron que los pacientes con SARS, un virus respiratorio ... -
Reliability Validation of a Low-Cost Particulate Matter IoT Sensor in Indoor and Outdoor Environments Using a Reference Sampler
Trilles, Sergio; Vicente, Ana Belen; Juan, Pablo; Ramos, Jose Francisco; Meseguer Costa, Sergio; Serra, Laura MDPI (2019)A suitable and quick determination of air quality allows the population to be alerted with respect to high concentrations of pollutants. Recent advances in computer science have led to the development of a high number of ... -
Spatial pattern modelling of wildfires in Catalonia, Spain 2004–2008
Serra, Laura; Juan, Pablo; Varga, Diego; Mateu, Jorge; Sáez Zafra, Marc Elsevier (2013)The paper has three objectives: firstly, to evaluate how the extent of clustering in wildfires differs across the years they occurred; secondly, to analyse the influence of covariates on trends in the intensity of wildfire ... -
Spatio-temporal log-Gaussian Cox processes for modelling wildfire occurrence: the case of Catalonia, 1994–2008
Serra, Laura; Sáez, Marc; Mateu, Jorge; Varga, Diego; Juan, Pablo; Díaz-Avalos, Carlos; Rue, Håvard Springer (2014)Wildfires have become one of the principal environmental problems in the Mediterranean basin. While fire plays an important role in most terrestrial plant ecosystems, the potential hazard that it represents for human lives ... -
Variability of PM10 in industrialized-urban areas. New coefficients to establish significant differences between sampling points
Vicente, Ana Belen; Juan, Pablo; Meseguer Costa, Sergio; Díaz Ávalos, Carlos; Serra, Laura Elsevier (2018-03)One of the main problems that arise in the assessment of air quality in an area is to estimate the number of representative sampling points of each microenvironment within it. We present a new model that reduces the ...