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Dr. Pablo Juan
Univeristat Jaume I

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0 Geostatistics
0 Spatial Modelling
0 Point Processes
0 INLA
0 SPDE

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INLA
SPDE
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Journal article
Published: 14 May 2021 in Energy
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Multiple variables can affect the energy performance of a building and, generally, they can be divided into four groups: household typology, construction features, technical building systems and socio-economic profile. The aim of this work is to determine the best-fit response variable for modelling the energy consumption of households. The study seeks to answer two main research questions: RQ1 What is the most appropriate response variable to model the energy use for the household sector? And RQ2 What influence do a set of household-related variables have on households’ energy use and what kinds affect it the most? To address both questions, firstly, different response variables were explored and the one with the best fit for modelling the energy use, according to statistical comparison parameters, was selected. Secondly, a global sensitivity analysis was performed to analyse the significance of each covariate included in the models. The results revealed that the socio-economic profile of the occupants is the most influential cluster and including occupation as a rate in the energy indicator contributes notably to improving the model. The study highlights the occupants’ profile as a key factor and offers a valuable basis for practitioners to make decisions regarding energy policies.

ACS Style

Marta Braulio-Gonzalo; María Dolores Bovea; Andrea Jorge-Ortiz; Pablo Juan. Which is the best-fit response variable for modelling the energy consumption of households? An analysis based on survey data. Energy 2021, 231, 120835 .

AMA Style

Marta Braulio-Gonzalo, María Dolores Bovea, Andrea Jorge-Ortiz, Pablo Juan. Which is the best-fit response variable for modelling the energy consumption of households? An analysis based on survey data. Energy. 2021; 231 ():120835.

Chicago/Turabian Style

Marta Braulio-Gonzalo; María Dolores Bovea; Andrea Jorge-Ortiz; Pablo Juan. 2021. "Which is the best-fit response variable for modelling the energy consumption of households? An analysis based on survey data." Energy 231, no. : 120835.

Journal article
Published: 18 April 2021 in Regional Studies in Marine Science
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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 atolls in the middle of the Indian Ocean. A descriptive study of its climatic conditions is presented in this work. We have used geostatistical technique of kriging (described below) for the estimation of meteorological variables. Complexity related to the structure of the region, with diverse distribution of islands of varying sizes, is discussed in connection to the analysis. Climatic characteristics explored in the current work indicate the need for subsequent studies of seasonal patterns in climate change, especially temperatures and precipitation across the country, and also to identify the effect of extreme climatic conditions and natural disasters such as Tsunamis. The results do not show periodicity over the study period. It emphasizes that climatic patterns appearing in the study area must be analyzed more extensively over time, with the inclusion of a greater number of meteorological stations for precise spatio-temporal analysis.

ACS Style

Somnath Chaudhuri; Pablo Juan; Laura Serra. Analysis of precise climate pattern of Maldives. A complex island structure. Regional Studies in Marine Science 2021, 44, 101789 .

AMA Style

Somnath Chaudhuri, Pablo Juan, Laura Serra. Analysis of precise climate pattern of Maldives. A complex island structure. Regional Studies in Marine Science. 2021; 44 ():101789.

Chicago/Turabian Style

Somnath Chaudhuri; Pablo Juan; Laura Serra. 2021. "Analysis of precise climate pattern of Maldives. A complex island structure." Regional Studies in Marine Science 44, no. : 101789.

Journal article
Published: 04 December 2020 in International Journal of Environmental Research and Public Health
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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 related to people’s mobility in urban areas, taking also into account the effect of meteorological conditions. We fit a generalized linear mixed model which includes spatial and temporal terms in order to detect the effect of the meteorological elements and COVID-19 infected cases on the pollutant concentrations. We consider nine counties of the state of New York which registered the highest number of COVID-19 infected cases. We implemented a Bayesian method using integrated nested Laplace approximation (INLA) with a stochastic partial differential equation (SPDE). The results emphasize that all the components used in designing the model contribute to improving the predicted values and can be included in designing similar real-world data (RWD) models. We found only a weak association between PM2.5 and ozone concentrations with COVID-19 infected cases. Records of COVID-19 infected cases and other covariates data from March to May 2020 were collected from electronic health records (EHRs) and standard RWD sources.

ACS Style

Carlos Díaz-Avalos; Pablo Juan; Somnath Chaudhuri; Marc Sáez; Laura Serra. Association between the New COVID-19 Cases and Air Pollution with Meteorological Elements in Nine Counties of New York State. International Journal of Environmental Research and Public Health 2020, 17, 9055 .

AMA Style

Carlos Díaz-Avalos, Pablo Juan, Somnath Chaudhuri, Marc Sáez, Laura Serra. Association between the New COVID-19 Cases and Air Pollution with Meteorological Elements in Nine Counties of New York State. International Journal of Environmental Research and Public Health. 2020; 17 (23):9055.

Chicago/Turabian Style

Carlos Díaz-Avalos; Pablo Juan; Somnath Chaudhuri; Marc Sáez; Laura Serra. 2020. "Association between the New COVID-19 Cases and Air Pollution with Meteorological Elements in Nine Counties of New York State." International Journal of Environmental Research and Public Health 17, no. 23: 9055.

Journal article
Published: 18 November 2020 in Sensors
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Temperature, humidity and precipitation have a strong influence on the generation of diseases in different crops, especially in vine. In recent years, advances in different disciplines have enabled the deployment of sensor nodes on agricultural plots. These sensors are characterised by a low cost and so the reliability of the data obtained from them can be compromised, as they are built from low-confidence components. In this research, two studies were carried out to determine the reliability of the data obtained by different SEnviro nodes installed in vineyards. Two networks of meteorological stations were used to carry out these studies, one official and the other professional. The first study was based on calculating the homogenisation of the data, which was performed using the Climatol tool. The second study proposed a similarity analysis using cross-correlation. The results showed that the low-cost node can be used to monitor climatic conditions in an agricultural area in the central zone of the province of Castelló (Spain) and to obtain reliable observations for use in previously published fungal disease models.

ACS Style

Sergio Trilles; Pablo Juan; Carlos Díaz-Avalos; Sara Ribeiro; Marco Painho. Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture. Sensors 2020, 20, 6597 .

AMA Style

Sergio Trilles, Pablo Juan, Carlos Díaz-Avalos, Sara Ribeiro, Marco Painho. Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture. Sensors. 2020; 20 (22):6597.

Chicago/Turabian Style

Sergio Trilles; Pablo Juan; Carlos Díaz-Avalos; Sara Ribeiro; Marco Painho. 2020. "Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture." Sensors 20, no. 22: 6597.

Journal article
Published: 16 December 2019 in Sustainability
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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 low-cost sensors, improving the spatial and temporal resolution of air quality data while increasing the effectiveness of risk assessment. The main objective of this work is to perform a validation of a particulate matter (PM) sensor (HM-3301) in indoor and outdoor environments to study PM2.5 and PM10 concentrations. To date, this sensor has not been evaluated in real-world situations, and its data quality has not been documented. Here, the HM-3301 sensor is integrated into an Internet of things (IoT) platform to establish a permanent Internet connection. The validation is carried out using a reference sampler (LVS3 of Derenda) according to EN12341:2014. It is focused on statistical insight, and environmental conditions are not considered in this study. The ordinary Linear Model, the Generalized Linear Model, Locally Estimated Scatterplot Smoothing, and the Generalized Additive Model have been proposed to compare and contrast the outcomes. The low-cost sensor is highly correlated with the reference measure ( R 2 greater than 0.70), especially for PM2.5, with a very high accuracy value. In addition, there is a positive relationship between the two measurements, which can be appropriately fitted through the Locally Estimated Scatterplot Smoothing model.

ACS Style

Sergio Trilles; Ana Belen Vicente; Pablo Juan; Francisco Ramos; Sergi Meseguer; Laura Serra. Reliability Validation of a Low-Cost Particulate Matter IoT Sensor in Indoor and Outdoor Environments Using a Reference Sampler. Sustainability 2019, 11, 7220 .

AMA Style

Sergio Trilles, Ana Belen Vicente, Pablo Juan, Francisco Ramos, Sergi Meseguer, Laura Serra. Reliability Validation of a Low-Cost Particulate Matter IoT Sensor in Indoor and Outdoor Environments Using a Reference Sampler. Sustainability. 2019; 11 (24):7220.

Chicago/Turabian Style

Sergio Trilles; Ana Belen Vicente; Pablo Juan; Francisco Ramos; Sergi Meseguer; Laura Serra. 2019. "Reliability Validation of a Low-Cost Particulate Matter IoT Sensor in Indoor and Outdoor Environments Using a Reference Sampler." Sustainability 11, no. 24: 7220.

Journal article
Published: 22 October 2019 in Sustainability
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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 data for those sites where they are not available. The study area, Castellón region (Spain), is a strategic area in the framework of EU pollution control. A decrease of PM10 is observed for industrial and urban stations. In the case of rural stations, the levels remain constant throughout the study period. The contribution of anthropogenic sources has been estimated through the PM10 background of the study area. The behaviour of PM10 annual trend is tri-modal for industrial and urban stations and bi-modal in the case of rural stations. The EU Normative suggests that 90% of the data per year are necessary to control air quality. Thus, interpolation statistical methods are presented to fill missing data: Linear Interpolation, Exponential Interpolation, and Kalman Smoothing. This study also focuses on testing the goodness of these methods in order to find the ones that better approach the gaps. After analyzing graphically and using the RMSE the last method is confirmed to be the best option.

ACS Style

Ana Belen Vicente; Pablo Juan; Sergi Meseguer; Laura Serra; Sergio Trilles. Air Quality Trend of PM10. Statistical Models for Assessing the Air Quality Impact of Environmental Policies. Sustainability 2019, 11, 5857 .

AMA Style

Ana Belen Vicente, Pablo Juan, Sergi Meseguer, Laura Serra, Sergio Trilles. Air Quality Trend of PM10. Statistical Models for Assessing the Air Quality Impact of Environmental Policies. Sustainability. 2019; 11 (20):5857.

Chicago/Turabian Style

Ana Belen Vicente; Pablo Juan; Sergi Meseguer; Laura Serra; Sergio Trilles. 2019. "Air Quality Trend of PM10. Statistical Models for Assessing the Air Quality Impact of Environmental Policies." Sustainability 11, no. 20: 5857.

Application note
Published: 04 September 2019 in Journal of Applied Statistics
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The spatio-temporal study of wildfires has two complex elements that are the computational efficiency and longtime processing. Modelling the spatial variability of a wildfire could be performed in different ways, and an important issue is the computational facilities that the new methodological techniques afford us. The Markov random fields methods have made possible to build risk maps, but for many forest managers, it is more advantageous to know the size of the fire and its location. In the first part of this work, Stochastic Partial Differential Equation with Integrated Nested Laplace Approximation is utilised to model the size of the forest fires observed in the Valencian Community (Spain) and so it does the inclusion of the time effect, and the study of the emergency calls. The most crucial element in this paper is the inclusion of the improved meshes for the spatial effect and the time, these are, 2d (locations) and 1d (time) respectively. The advantage of the use of spatio-temporal meshes is described with the inclusion of Bayesian methodology in all the scenarios.

ACS Style

Pablo Juan Verdoy. Spatio-temporal hierarchical Bayesian analysis of wildfires with Stochastic Partial Differential Equations. A case study from Valencian Community (Spain). Journal of Applied Statistics 2019, 47, 927 -946.

AMA Style

Pablo Juan Verdoy. Spatio-temporal hierarchical Bayesian analysis of wildfires with Stochastic Partial Differential Equations. A case study from Valencian Community (Spain). Journal of Applied Statistics. 2019; 47 (5):927-946.

Chicago/Turabian Style

Pablo Juan Verdoy. 2019. "Spatio-temporal hierarchical Bayesian analysis of wildfires with Stochastic Partial Differential Equations. A case study from Valencian Community (Spain)." Journal of Applied Statistics 47, no. 5: 927-946.

Articles
Published: 20 May 2019 in Communications in Statistics - Simulation and Computation
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Wildfires play an important role in shaping landscapes and as a source of CO2 and particulate matter, and are a typical spatial point process studied in many papers. Modeling the spatial variability of a wildfire could be performed in different ways and an important issue is the computational facilities that the new techniques afford us. The most common approaches have been through point pattern analysis or by Markov random fields. These methods have made it possible to build risk maps, but for many forest managers it is very useful to know the size of the fire as well as its location. In this work, we use Stochastic Partial Differential Equation (SPDE) with Integrated Nested Laplace Approximation (INLA) to model the size of the forest fires observed in the Valencian Community, Spain. But the most important element in this paper is the process that needs to be carried out prior to simulating and analyzing the different point patterns, namely, the choice of the most suitable mesh for the database. We describe and take advantage of the Bayesian methodology by including INLA and SPDE in the modeling process in all the scenarios.

ACS Style

Pablo Juan Verdoy. Enhancing the SPDE modeling of spatial point processes with INLA, applied to wildfires. Choosing the best mesh for each database. Communications in Statistics - Simulation and Computation 2019, 1 -34.

AMA Style

Pablo Juan Verdoy. Enhancing the SPDE modeling of spatial point processes with INLA, applied to wildfires. Choosing the best mesh for each database. Communications in Statistics - Simulation and Computation. 2019; ():1-34.

Chicago/Turabian Style

Pablo Juan Verdoy. 2019. "Enhancing the SPDE modeling of spatial point processes with INLA, applied to wildfires. Choosing the best mesh for each database." Communications in Statistics - Simulation and Computation , no. : 1-34.

Journal article
Published: 24 August 2018 in Journal of Cleaner Production
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This paper provides a methodology to identify the variables that affect the environmental performance of the life cycle of small electrical and electronic equipment (EEE). Different environmental indicators were contemplated as response variables, and five covariates were considered to potentially affect the life cycle of equipment: material weight, distribution, power, frequency of use and end-of-life. Different values per covariate were assumed. For material weight, power and frequency of use, three different levels were considered for each one: low, average and high. For distribution, three different distances were taken by simulating national, European and international distribution. For end-of-life, different scenarios were considered: using the equipment until the end of its life span, repairing it (assuming different repair types) or replacing it with a new one if it breaks before the end of its life span. The environmental impacts of each scenario obtained by combining these covariates were calculated by applying the Life Cycle Assessment (LCA) methodology using mid- and end-point impact assessment methods. The obtained environmental indicators were modelled by Integrated Nested Laplace Approximation (INLA) to identify the variables that affect the environmental performance. The methodology was applied to a sample of 10 categories of small household EEE. The results revealed that one general pattern was associated with all these categories: the covariates that statistically more affected the environmental impact of their life cycle were, in this order, frequency of use and power, followed by end-of-life strategies and material weight.

ACS Style

María D. Bovea; Valeria Ibáñez-Forés; Pablo Juan; Victoria Pérez-Belis; Marta Braulio-Gonzalo. Variables that affect the environmental performance of small electrical and electronic equipment. Methodology and case study. Journal of Cleaner Production 2018, 203, 1067 -1084.

AMA Style

María D. Bovea, Valeria Ibáñez-Forés, Pablo Juan, Victoria Pérez-Belis, Marta Braulio-Gonzalo. Variables that affect the environmental performance of small electrical and electronic equipment. Methodology and case study. Journal of Cleaner Production. 2018; 203 ():1067-1084.

Chicago/Turabian Style

María D. Bovea; Valeria Ibáñez-Forés; Pablo Juan; Victoria Pérez-Belis; Marta Braulio-Gonzalo. 2018. "Variables that affect the environmental performance of small electrical and electronic equipment. Methodology and case study." Journal of Cleaner Production 203, no. : 1067-1084.

Journal article
Published: 20 August 2018 in Journal of Cleaner Production
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The demand of products that incorporate circular requirements depend on consumer perceptions. So effective communication is necessary between the product and consumers through product labelling. The use of specific icons facilitates this communication. This study presents a methodology for identifying the icons that best associate and identify consumers with the different design requirements that a circular product should meet. To do this, a set of icons for each circular requirement (upgrade, disassembly, lifetime extension, repairability and reuse) is presented to a representative sample of consumers who select the preferred one by taking into account different icon characteristics (simplicity, familiarity, semantic distance and aesthetic appeal). To validate the comprehension of the selected icons, ISO 9186-3 was applied to test the association of the selected icons with their corresponding requirement. Multinomial regression models were applied to explore whether any significant differences appeared among the responses obtained (icon selection) by the different respondent profiles. The most significant socio-economic variables were gender and age, while the most significant icon characteristics were semantic distance and aesthetic appeal. The results of this study could be useful for the companies committed to integrate the principles of circular economy into their product design since the use of selected icons can help consumers to identify them. Consumers' understanding is ensured due to the high percentages of correct answers obtained in the validation test (>85%).

ACS Style

María D. Bovea; Pilar Quemades-Beltrán; Victoria Pérez-Belis; Pablo Juan; Marta Braulio-Gonzalo; Valeria Ibáñez-Forés. Options for labelling circular products: Icon design and consumer preferences. Journal of Cleaner Production 2018, 202, 1253 -1263.

AMA Style

María D. Bovea, Pilar Quemades-Beltrán, Victoria Pérez-Belis, Pablo Juan, Marta Braulio-Gonzalo, Valeria Ibáñez-Forés. Options for labelling circular products: Icon design and consumer preferences. Journal of Cleaner Production. 2018; 202 ():1253-1263.

Chicago/Turabian Style

María D. Bovea; Pilar Quemades-Beltrán; Victoria Pérez-Belis; Pablo Juan; Marta Braulio-Gonzalo; Valeria Ibáñez-Forés. 2018. "Options for labelling circular products: Icon design and consumer preferences." Journal of Cleaner Production 202, no. : 1253-1263.

Journal article
Published: 04 July 2018 in Sustainability
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The transition to a circular economy requires a fundamental change in products and the way they meet consumer demands. In this context, the aim of this article is to analyse the level of importance that consumers attach to the fact that circular aspects were incorporated into a product design and to the need to communicate them on the product labelling. The aspects analysed in this study are related to durability, repairability, recycled material content, low environmental impact, fair working conditions and origin. To this end, a survey was designed and conducted with a representative sample. It was found that Spanish consumers are concerned mainly about fair working conditions during the product manufacturing and the durability of the products. A high degree of congruence was found between the level of importance attached to incorporating each aspect into the product design and including this information in the product labelling. In addition, multinomial regression models are applied to identify the consumer profiles (gender, age, household size, level of education, household income) that are more or less prone to prefer products that incorporate these aspects into their design and labelling. Household size and gender are the socio-economic variables that most affect consumer preferences.

ACS Style

María D. Bovea; Valeria Ibáñez-Forés; Victoria Pérez-Belis; Pablo Juan; Marta Braulio-Gonzalo; Carlos Díaz-Ávalos. Incorporation of Circular Aspects into Product Design and Labelling: Consumer Preferences. Sustainability 2018, 10, 2311 .

AMA Style

María D. Bovea, Valeria Ibáñez-Forés, Victoria Pérez-Belis, Pablo Juan, Marta Braulio-Gonzalo, Carlos Díaz-Ávalos. Incorporation of Circular Aspects into Product Design and Labelling: Consumer Preferences. Sustainability. 2018; 10 (7):2311.

Chicago/Turabian Style

María D. Bovea; Valeria Ibáñez-Forés; Victoria Pérez-Belis; Pablo Juan; Marta Braulio-Gonzalo; Carlos Díaz-Ávalos. 2018. "Incorporation of Circular Aspects into Product Design and Labelling: Consumer Preferences." Sustainability 10, no. 7: 2311.

Journal article
Published: 01 March 2018 in Environmental Pollution
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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 variability and increases the quality of the comparison of the sampling points. The study is based on the comparison between a city in eastern Spain, Vila-real, a macro city in México, Monterrey and the Piemonte region regarding the assessment of PM10 in microenvironments. Vila-real is located in the province of Castellón. This province is a strategic area in the framework of European Union (EU) pollution control. On the other hand, Monterrey in México, located in the northern state of Nuevo León, has several problems with particulate material in the atmosphere produced by the extraction of building materials in the hill that surround the city. Finally, the Piemonte region, which is located in the north of Italy, has to be in consideration due to higher concentrations of PM10 in the Po river basin. In the case of Vila-real the PM10 samples were collected by a medium volume sampler according to European regulations. Particle concentration levels were determined gravimetrically (EN 12341:1999). In the case of Monterrey the PM10 concentrations were determined by Beta Ray Attenuation according to US-EPA regulations. In the Piemonte region, the average concentration of PM10 was also obtained by means of the Beta Ray Attenuation as well as using gravimetric instruments. The methodology carried out in this paper is a useful tool for developing future Air Quality Plans in other industrialised areas.

ACS Style

A.B. Vicente; Pablo Juan; S. Meseguer; C. Díaz-Avalos; L. Serra. Variability of PM10 in industrialized-urban areas. New coefficients to establish significant differences between sampling points. Environmental Pollution 2018, 234, 969 -978.

AMA Style

A.B. Vicente, Pablo Juan, S. Meseguer, C. Díaz-Avalos, L. Serra. Variability of PM10 in industrialized-urban areas. New coefficients to establish significant differences between sampling points. Environmental Pollution. 2018; 234 ():969-978.

Chicago/Turabian Style

A.B. Vicente; Pablo Juan; S. Meseguer; C. Díaz-Avalos; L. Serra. 2018. "Variability of PM10 in industrialized-urban areas. New coefficients to establish significant differences between sampling points." Environmental Pollution 234, no. : 969-978.

Journal article
Published: 01 January 2018 in Waste Management
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This study analyses the current habits and practices towards the store, repair and second-hand purchase of small electrical and electronic devices belonging to the category of information and communication technology (ICT). To this end, a survey was designed and conducted with a representative sample size of 400 individuals through telephone interviews for the following categories: MP3/MP4, video camera, photo camera, mobile phone, tablet, e-book, laptop, hard disk drive, navigator-GPS, radio/radio alarm clock. According to the results obtained, there is a tendency to store disused small ICT devices at home. On average for all the small ICT categories analysed, 73.91% of the respondents store disused small ICT devices at home. Related to the habits towards the repair and second-hand purchase of small ICT devices, 65.5% and 87.6% of the respondents have never taken to repair and have never purchased second-hand, respectively, small ICT devices. This paper provides useful and hitherto unavailable information about the current habits of discarding and reusing ICT devices. It can be concluded that there is a need to implement awareness-raising campaigns to encourage these practices, which are necessary to reach the minimum goals established regarding preparation for reuse set out in the Directive 2012/19/EU for the category small electrical and electronic equipment.

ACS Style

María D Bovea; Valeria Ibáñez-Forés; Victoria Pérez-Belis; Pablo Juan. A survey on consumers’ attitude towards storing and end of life strategies of small information and communication technology devices in Spain. Waste Management 2018, 71, 589 -602.

AMA Style

María D Bovea, Valeria Ibáñez-Forés, Victoria Pérez-Belis, Pablo Juan. A survey on consumers’ attitude towards storing and end of life strategies of small information and communication technology devices in Spain. Waste Management. 2018; 71 ():589-602.

Chicago/Turabian Style

María D Bovea; Valeria Ibáñez-Forés; Victoria Pérez-Belis; Pablo Juan. 2018. "A survey on consumers’ attitude towards storing and end of life strategies of small information and communication technology devices in Spain." Waste Management 71, no. : 589-602.

Journal article
Published: 01 August 2017 in Journal of Cleaner Production
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This study presents a survey to identify current habits and practices regarding the repair and second-hand purchases of small household electrical and electronic equipment (EEE) in Spain, and to identify the profile of consumers who are more or less prone to this behaviour. To this end, a survey was designed and conducted with a representative sample size of 400 valid responses obtained through telephone interviews. It allowed the identification of the most frequent small EEE in households, and consumer habits as regards replacement, repairs and second-hand purchases. Consumers used small household EEE for an average of 6.25 years; 9.56% of those interviewed had never repaired broken small household EEE, and only 0.75% had bought second-hand small household EEE at some time. The analysis of the relationship between consumer attitudes and their socio-economic characteristics using logit models indicated that older consumers and females were more prone to repair small household EEE, while older males with medium family incomes tended to purchase second-hand small household EEE more. Finally, consumers indicated that they considered it is important that the design and labeling of small household EEE included aspects and information about their durability. The obtained results are useful for designing and targeting future awareness campaigns to proper audiences that promote extending the lifetime of EEE by repairing and second-hand purchases. These actions can help to achieve the minimum recovery targets for preparing for the reuse stated within the waste policy framework.The authors are grateful to the Ministerio de Economía y Competitividad, Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad for funding for this study (Project DPI2013-40815-R)

ACS Style

Victoria Pérez-Belis; Marta Braulio-Gonzalo; Pablo Juan; María D Bovea. Consumer attitude towards the repair and the second-hand purchase of small household electrical and electronic equipment. A Spanish case study. Journal of Cleaner Production 2017, 158, 261 -275.

AMA Style

Victoria Pérez-Belis, Marta Braulio-Gonzalo, Pablo Juan, María D Bovea. Consumer attitude towards the repair and the second-hand purchase of small household electrical and electronic equipment. A Spanish case study. Journal of Cleaner Production. 2017; 158 ():261-275.

Chicago/Turabian Style

Victoria Pérez-Belis; Marta Braulio-Gonzalo; Pablo Juan; María D Bovea. 2017. "Consumer attitude towards the repair and the second-hand purchase of small household electrical and electronic equipment. A Spanish case study." Journal of Cleaner Production 158, no. : 261-275.

Journal article
Published: 01 August 2017 in Journal of Cleaner Production
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ACS Style

Victoria Pérez-Belis; Conny Bakker; Pablo Juan; María D. Bovea. Environmental performance of alternative end-of-life scenarios for electrical and electronic equipment: A case study for vacuum cleaners. Journal of Cleaner Production 2017, 159, 158 -170.

AMA Style

Victoria Pérez-Belis, Conny Bakker, Pablo Juan, María D. Bovea. Environmental performance of alternative end-of-life scenarios for electrical and electronic equipment: A case study for vacuum cleaners. Journal of Cleaner Production. 2017; 159 ():158-170.

Chicago/Turabian Style

Victoria Pérez-Belis; Conny Bakker; Pablo Juan; María D. Bovea. 2017. "Environmental performance of alternative end-of-life scenarios for electrical and electronic equipment: A case study for vacuum cleaners." Journal of Cleaner Production 159, no. : 158-170.

Journal article
Published: 31 January 2017 in Modelling in Science Education and Learning
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Resumen Se realiza una investigación sobre ciertas metodologías descritas por Finkel en su libro «Como dar clase con la boca cerrada». Esta investigación consiste en una valoración que realizan los alumnos del I.E.S. Bovalar de Castellón mediante una encuesta. La investigación pretende ver si hay relación entre aquellas metodologías que a los alumnos les parecen más participativas, y las que les gustaría que sus profesores utilizaran, es decir, si los alumnos prefieren usar metodologías didácticas en que ellos se impliquen más, y donde ellos son el centro del proceso de Enseñanza-Aprendizaje. Después de un análisis estadístico mediante el programa SPSS, podemos concluir que si que existe una relación directa entre las metodologías más participativas desde el punto de vista de los alumnos, y las que les gustaría que sus profesores pusieran en práctica. Finalmente, realizamos una valoración de la importancia de ampliar el uso de este tipo de estrategias para conseguir que el aprendizaje sea significativo y que los alumnos mejoren en la adquisición de las competencias básicas.

ACS Style

S. Carbó; S. Meseguer; P. Juan. La opini?n de los estudiantes sobre metodolog?as docentes. Modelling in Science Education and Learning 2017, 10, 193 .

AMA Style

S. Carbó, S. Meseguer, P. Juan. La opini?n de los estudiantes sobre metodolog?as docentes. Modelling in Science Education and Learning. 2017; 10 (1):193.

Chicago/Turabian Style

S. Carbó; S. Meseguer; P. Juan. 2017. "La opini?n de los estudiantes sobre metodolog?as docentes." Modelling in Science Education and Learning 10, no. 1: 193.

Journal article
Published: 01 December 2016 in Journal of Cleaner Production
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The aim of the study is to present a developed bottom-up-based methodology for predicting the energy performance of residential stocks on the neighbourhood and city scales. This methodology enables predicting the energy demand and discomfort hours (heating and cooling) taking into account urban and building factors such as urban block type, street height-width ratio and solar orientation of the main façade, and shape factor and year of construction of the building, respectively. For this purpose, a four-staged methodology consisting in (1) urban taxonomy characterisation, (2) energy performance assessment, (3) statistical modelling and (4) stock aggregation is proposed, which combines building physical modelling and statistical inference in a Geographical Information System environment to provide an intuitive visual interface that represents final results on urban energy maps. The methodology was implemented in a medium-sized Spanish Mediterranean city as a case study, which allowed estimating the passive energy performance of a neighbourhood and setting building and urban design strategies. Results allowed concluding that the intrinsic parameters of the urban morphology play an important role on passive energy performance and important energy demand savings can be achieved when considering morphological urban aspects in new planning developments. This methodology is an efficient tool that can help stakeholders and local authorities in decision-making processes that focus both on developments of new urban areas taking into account energy requirements and on identifying and prioritising existing residential stocks in need of rehabilitation in energy terms

ACS Style

Marta Braulio-Gonzalo; María D Bovea; María José Ruá; Pablo Juan. A methodology for predicting the energy performance and indoor thermal comfort of residential stocks on the neighbourhood and city scales. A case study in Spain. Journal of Cleaner Production 2016, 139, 646 -665.

AMA Style

Marta Braulio-Gonzalo, María D Bovea, María José Ruá, Pablo Juan. A methodology for predicting the energy performance and indoor thermal comfort of residential stocks on the neighbourhood and city scales. A case study in Spain. Journal of Cleaner Production. 2016; 139 ():646-665.

Chicago/Turabian Style

Marta Braulio-Gonzalo; María D Bovea; María José Ruá; Pablo Juan. 2016. "A methodology for predicting the energy performance and indoor thermal comfort of residential stocks on the neighbourhood and city scales. A case study in Spain." Journal of Cleaner Production 139, no. : 646-665.

Journal article
Published: 01 December 2016 in Forest Ecology and Management
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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 matter, contributing to the green house effect and to global warming. Modeling the spatial variability of wildfire extent is therefore an important subject in order to understand and to predict future trends on their effect in landscape changes and global warming. The most common approaches have been through point pattern analysis or by Markov random fields. Those methods have made possi- ble to build risk maps, but for many forest managers knowing the fire size besides the location of the fire is very useful. In this work we use spatial marked point processes to model the fire size of the forest fires observed in Castellón, Spain, during the years 2001–2006. Our modeling approach incorporates spatial covariates as they are useful to model spatial variability and to gain insight about factors related to the presence of forest fires. Such information may be of great utility to predict the spreading of ongoing fires and also to prevent wildfire outburst by controlling risk factors. We describe and take advantage of the Bayesian methodology including Integrated Nested Laplace Approximation (INLA) and Stochastic Partial Differential Equation (SPDE) in the modeling process. We present the results of different models fitted to the data and discuss its usefulness to fire managers and planners.The first author was supported in part by grant CONACYT 24119

ACS Style

Carlos Díaz-Avalos; Pablo Juan; Laura Serra-Saurina. Modeling fire size of wildfires in Castellon (Spain), using spatiotemporal marked point processes. Forest Ecology and Management 2016, 381, 360 -369.

AMA Style

Carlos Díaz-Avalos, Pablo Juan, Laura Serra-Saurina. Modeling fire size of wildfires in Castellon (Spain), using spatiotemporal marked point processes. Forest Ecology and Management. 2016; 381 ():360-369.

Chicago/Turabian Style

Carlos Díaz-Avalos; Pablo Juan; Laura Serra-Saurina. 2016. "Modeling fire size of wildfires in Castellon (Spain), using spatiotemporal marked point processes." Forest Ecology and Management 381, no. : 360-369.

Original paper
Published: 27 October 2016 in Stochastic Environmental Research and Risk Assessment
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We modeled the spatial distribution of the most important Chagas disease vectors in Argentina, in order to obtain a predictive mapping method for the probability of presence of the vector species. We analyzed both the binary variable of presence-absence of Chagas disease and the vector species richness in Argentina, in combination with climatic and topographical covariates associated to the region of interest. We used several statistical techniques to produce distribution maps of presence–absence for the different insect species as well as species richness, using a hierarchical Bayesian framework within the context of multivariate geostatistical modeling. Our results show that the inclusion of covariates improves the quality of the fitted models, and that there is spatial interaction between neighboring cells/pixels, so mapping methods used in the past, which assumed spatial independence, are not adequate as they provide unreliable results.

ACS Style

Pablo Juan; Carlos Díaz-Avalos; Nancy R. Mejía-Domínguez; Jorge Mateu. Hierarchical spatial modeling of the presence of Chagas disease insect vectors in Argentina. A comparative approach. Stochastic Environmental Research and Risk Assessment 2016, 31, 461 -479.

AMA Style

Pablo Juan, Carlos Díaz-Avalos, Nancy R. Mejía-Domínguez, Jorge Mateu. Hierarchical spatial modeling of the presence of Chagas disease insect vectors in Argentina. A comparative approach. Stochastic Environmental Research and Risk Assessment. 2016; 31 (2):461-479.

Chicago/Turabian Style

Pablo Juan; Carlos Díaz-Avalos; Nancy R. Mejía-Domínguez; Jorge Mateu. 2016. "Hierarchical spatial modeling of the presence of Chagas disease insect vectors in Argentina. A comparative approach." Stochastic Environmental Research and Risk Assessment 31, no. 2: 461-479.

Journal article
Published: 01 September 2016 in Environmental Modelling & Software
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This paper provides a model based on Integrated Nested Laplace Approximation to predict the energy performance of existing residential building stocks. The energy demand and the discomfort hours for heating and cooling were taken as response variables and five parameters were considered as potentially significant to assess the building energy performance: urban block pattern, street height-width ratio, building class through the building shape factor, year of construction and solar orientation of the main façade. A total of 240 dynamic energy simulations were run varying these parameters, by using the EnergyPlus software with the Design Builder interface, which allowed the response variables to be determined for a set of sample buildings. Simulation results revealed the most and least significant parameters in the energy performance of the buildings. The model developed is a useful decision-making tool in assisting local authorities during energy refurbishment interventions at the urban scale.

ACS Style

Marta Braulio-Gonzalo; Pablo Juan; María D. Bovea; María José Ruá. Modelling energy efficiency performance of residential building stocks based on Bayesian statistical inference. Environmental Modelling & Software 2016, 83, 198 -211.

AMA Style

Marta Braulio-Gonzalo, Pablo Juan, María D. Bovea, María José Ruá. Modelling energy efficiency performance of residential building stocks based on Bayesian statistical inference. Environmental Modelling & Software. 2016; 83 ():198-211.

Chicago/Turabian Style

Marta Braulio-Gonzalo; Pablo Juan; María D. Bovea; María José Ruá. 2016. "Modelling energy efficiency performance of residential building stocks based on Bayesian statistical inference." Environmental Modelling & Software 83, no. : 198-211.