César García-Aranda
Biographic Data
| ID | 5777078 |
|---|---|
| NAME | César García-Aranda |
| GIVEN NAMES | César |
| FAMILY NAME | García-Aranda |
| SIGNATURE | GARCÍA-ARANDA C |
| AFFILIATIONS | Universidad Politécnica de Madrid |
| ORCID | 0000-0003-4502-720X |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
GeoAI-driven building facade classification for urban pattern analysis
The rapid expansion of cities presents new challenges for urban planning and housing policy, making the adoption of advanced technologies essential for supporting evidence-based decision-making. This study introduces an integrated GeoAI (Geospatial Artificial Intelligence) methodology for analyzing urban patterns in Murcia, Spain, combining cadastral records and facade images obtained from the General Directorate of Cadastre platform, Geographic …
Spatial analysis of the particulate matter (PM10) an assessment of air pollution in the region of Madrid (Spain)
This paper reports a comparison of different spatial and statistical models to predict the concentrations of the particulate matter (PM10), measured by the environmental stations of the Community of Madrid (Spain). Three methods were compared: Inverse Distance Weighting (IDW), Ordinary Kriging (OK) and Empirical Bayesian Kriging (EBK). The most accurate spatial interpolation method was the EBK. An interpolation map obtained by applying the EBK ge…
A Digital Twin of a University Campus from an Urban Sustainability Approach
The development of geographic information systems has grown significantly over the past decade. Simultaneously, the concept of smart cities based on the management of large volumes of data has also spread worldwide. The digital twin concept has recently been incorporated into the technological domain of urban management. However, currently, phases such as technological integration, standardization, data and process interconnection, the developmen…
Understanding sustainability and the circular economy through flipped classroom and challenge-based learning
This research studies the efficiency of Flipped Classroom (FC) and Challenge-Based Learning (CBL) as an innovative methodology to facilitate the learning of concepts involving sustainability and the circular economy by higher education students. This study, conducted as part of various innovative education projects, was applied in different courses (Environmental Management, Environmental Engineering and Industrial Ecology) taught to different en…
Artificial neural networks and geostatistical models for housing valuations in urban residential areas
Property valuation studies often use classical statistics techniques. Among these techniques, the Artificial Neural Networks are the most applied, overcoming the inflexibility and the linearity of the hedonic models. Other researchers have used Geostatistics techniques, specifically the Kriging Method, for interpreting spatial-temporal variability and to predict housing unit prices. The innovation of this study is to highlight how the Kriging Met…
Understanding sustainability and the circular economy through flipped classroom and challenge-based learning
This research studies the efficiency of Flipped Classroom (FC) and Challenge-Based Learning (CBL) as an innovative methodology to facilitate the learning of concepts involving sustainability and the circular economy by higher education students. This study, conducted as part of various innovative education projects, was applied in different courses (Environmental Management, Environmental Engineering and Industrial Ecology) taught to different en…
Artificial neural networks and geostatistical models for housing valuations in urban residential areas
Property valuation studies often use classical statistics techniques. Among these techniques, the Artificial Neural Networks are the most applied, overcoming the inflexibility and the linearity of the hedonic models. Other researchers have used Geostatistics techniques, specifically the Kriging Method, for interpreting spatial-temporal variability and to predict housing unit prices. The innovation of this study is to highlight how the Kriging Met…
Understanding sustainability and the circular economy through flipped classroom and challenge-based learning
This research studies the efficiency of Flipped Classroom (FC) and Challenge-Based Learning (CBL) as an innovative methodology to facilitate the learning of concepts involving sustainability and the circular economy by higher education students. This study, conducted as part of various innovative education projects, was applied in different courses (Environmental Management, Environmental Engineering and Industrial Ecology) taught to different en…
Spatial analysis of the particulate matter (PM10) an assessment of air pollution in the region of Madrid (Spain)
This paper reports a comparison of different spatial and statistical models to predict the concentrations of the particulate matter (PM10), measured by the environmental stations of the Community of Madrid (Spain). Three methods were compared: Inverse Distance Weighting (IDW), Ordinary Kriging (OK) and Empirical Bayesian Kriging (EBK). The most accurate spatial interpolation method was the EBK. An interpolation map obtained by applying the EBK ge…
A Digital Twin of a University Campus from an Urban Sustainability Approach
The development of geographic information systems has grown significantly over the past decade. Simultaneously, the concept of smart cities based on the management of large volumes of data has also spread worldwide. The digital twin concept has recently been incorporated into the technological domain of urban management. However, currently, phases such as technological integration, standardization, data and process interconnection, the developmen…
GeoAI-driven building facade classification for urban pattern analysis
The rapid expansion of cities presents new challenges for urban planning and housing policy, making the adoption of advanced technologies essential for supporting evidence-based decision-making. This study introduces an integrated GeoAI (Geospatial Artificial Intelligence) methodology for analyzing urban patterns in Murcia, Spain, combining cadastral records and facade images obtained from the General Directorate of Cadastre platform, Geographic …
Ecology (3 works) · Geography (3 works) · Computer Science (2 works) · Geostatistics (2 works) · Kriging (2 works) · Mathematics (2 works) · Spatial and Panel Data Analysis (2 works) · Spatial variability (2 works) · Statistics (2 works) · Sustainability (2 works)