2022
López-Vázquez, Carlos; Gonzalez-Campos, María Ester; Bernabé-Poveda, Miguel A.; Moctezuma, Daniela; Hochsztain, Esther; Barrera, María A.; Granell-Canut, Carlos; León-Pazmiño, María F.; López-Ramírez, Pablo; adn Javier Moya-Honduvilla, Villie Morocho-Zurita; Manrique-Sancho, María T.; Montiveros, Marcela E.; Narváez-Benalcázar, Rocío; de Jesús Pérez-Alcázar, José; Resnichenko, Yuri; Seco., Diego
Building a Gold Standard Dataset to Identify Articles About Geographic Information Science Journal Article
In: IEEE Access, vol. 10, pp. 19926-19936, 2022, ISSN: 2169-3536.
Abstract | Links | BibTeX | Tags: Geographic Information Systems (GIS), GIScience
@article{LopezVazquez2022a,
title = {Building a Gold Standard Dataset to Identify Articles About Geographic Information Science},
author = {Carlos López-Vázquez and María Ester Gonzalez-Campos and Miguel A. Bernabé-Poveda and Daniela Moctezuma and Esther Hochsztain and María A. Barrera and Carlos Granell-Canut and María F. León-Pazmiño and Pablo López-Ramírez and Villie Morocho-Zurita adn Javier Moya-Honduvilla and María T. Manrique-Sancho and Marcela E. Montiveros and Rocío Narváez-Benalcázar and José de Jesús Pérez-Alcázar and Yuri Resnichenko and Diego Seco. },
doi = {https://doi.org/10.1109/ACCESS.2022.3150869},
issn = {2169-3536},
year = {2022},
date = {2022-02-10},
journal = {IEEE Access},
volume = {10},
pages = {19926-19936},
abstract = {To know the overall regional or international scientific production is of vital importance to many areas of knowledge. Nevertheless, in interdisciplinary areas such as Geographic Information Science (GISc) it is not enough to just count papers published in specific journals. Most of them, as is the case of the International Journal of Remote Sensing (IJRS), welcome GISc papers but are not exclusive to that area so the production assignable to authors in the region must consider not only affiliation but also whether or not each paper falls into the theme of GISc. IJRS publishes far more papers than any other GISc journal, so it is important to assess quantitatively how many of them are of GISc. In this work, a representative sample of IJRS articles published over a period of almost 30 years was analyzed using a specific GISc definition. With these data, a manual classification methodology through a set of experts was carried out, and a dataset was built, analyzed, and statistically tested. As a result we estimate that between 47 and 76% of the IJRS articles can be considered from GISc, with a confidence level of 95%. Aside from the primary goal, this set could be used as a gold standard for future classification tasks. It constitutes the first GISc dataset of this kind, that may be used to train artificial intelligence systems capable of performing the same classification automatically and in a massive way. A similar procedure could be applied to other interdisciplinary fields of knowledge as well.},
keywords = {Geographic Information Systems (GIS), GIScience},
pubstate = {published},
tppubtype = {article}
}
To know the overall regional or international scientific production is of vital importance to many areas of knowledge. Nevertheless, in interdisciplinary areas such as Geographic Information Science (GISc) it is not enough to just count papers published in specific journals. Most of them, as is the case of the International Journal of Remote Sensing (IJRS), welcome GISc papers but are not exclusive to that area so the production assignable to authors in the region must consider not only affiliation but also whether or not each paper falls into the theme of GISc. IJRS publishes far more papers than any other GISc journal, so it is important to assess quantitatively how many of them are of GISc. In this work, a representative sample of IJRS articles published over a period of almost 30 years was analyzed using a specific GISc definition. With these data, a manual classification methodology through a set of experts was carried out, and a dataset was built, analyzed, and statistically tested. As a result we estimate that between 47 and 76% of the IJRS articles can be considered from GISc, with a confidence level of 95%. Aside from the primary goal, this set could be used as a gold standard for future classification tasks. It constitutes the first GISc dataset of this kind, that may be used to train artificial intelligence systems capable of performing the same classification automatically and in a massive way. A similar procedure could be applied to other interdisciplinary fields of knowledge as well.
2021
Ostermann, Frank; Nüst, Daniel; Granell-Canut, Carlos; Hofer, Barbara; Konkol, Markus
Reproducible Research and GIScience: an evaluation using GIScience conference papers Proceedings Article
In: Janowicz, K.; Verstegen, J. A. (Ed.): Proceedings of the 11th International Conference on Geographic Information Science - Part II, pp. 2:1–2:16, LIPIcs, 2021, ISBN: 78-3-95977-208-2.
Abstract | Links | BibTeX | Tags: Geographic Information Systems (GIS), Replicability, Reproducibility
@inproceedings{Ostermann2021a,
title = {Reproducible Research and GIScience: an evaluation using GIScience conference papers},
author = {Frank Ostermann and Daniel Nüst and Carlos Granell-Canut and Barbara Hofer and Markus Konkol },
editor = {K. Janowicz and J.A. Verstegen },
doi = {https://doi.org/10.4230/LIPIcs.GIScience.2021.II.2},
isbn = {78-3-95977-208-2},
year = {2021},
date = {2021-09-30},
booktitle = {Proceedings of the 11th International Conference on Geographic Information Science - Part II},
volume = {208},
pages = {2:1--2:16},
publisher = {LIPIcs},
abstract = {GIScience conference authors and researchers face the same computational reproducibility challenges as authors and researchers from other disciplines who use computers to analyse data. Here, to assess the reproducibility of GIScience research, we apply a rubric for assessing the reproducibility of 75 conference papers published at the GIScience conference series in the years 2012-2018. Since the rubric and process were previously applied to the publications of the AGILE conference series, this paper itself is an attempt to replicate that analysis, however going beyond the previous work by evaluating and discussing proposed measures to improve reproducibility in the specific context of the GIScience conference series. The results of the GIScience paper assessment are in line with previous findings: although descriptions of workflows and the inclusion of the data and software suffice to explain the presented work, in most published papers they do not allow a third party to reproduce the results and findings with a reasonable effort. We summarise and adapt previous recommendations for improving this situation and propose the GIScience community to start a broad discussion on the reusability, quality, and openness of its research. Further, we critically reflect on the process of assessing paper reproducibility, and provide suggestions for improving future assessments. The code and data for this article are published at https://doi.org/10.5281/zenodo.4032875.},
keywords = {Geographic Information Systems (GIS), Replicability, Reproducibility},
pubstate = {published},
tppubtype = {inproceedings}
}
GIScience conference authors and researchers face the same computational reproducibility challenges as authors and researchers from other disciplines who use computers to analyse data. Here, to assess the reproducibility of GIScience research, we apply a rubric for assessing the reproducibility of 75 conference papers published at the GIScience conference series in the years 2012-2018. Since the rubric and process were previously applied to the publications of the AGILE conference series, this paper itself is an attempt to replicate that analysis, however going beyond the previous work by evaluating and discussing proposed measures to improve reproducibility in the specific context of the GIScience conference series. The results of the GIScience paper assessment are in line with previous findings: although descriptions of workflows and the inclusion of the data and software suffice to explain the presented work, in most published papers they do not allow a third party to reproduce the results and findings with a reasonable effort. We summarise and adapt previous recommendations for improving this situation and propose the GIScience community to start a broad discussion on the reusability, quality, and openness of its research. Further, we critically reflect on the process of assessing paper reproducibility, and provide suggestions for improving future assessments. The code and data for this article are published at https://doi.org/10.5281/zenodo.4032875.
Zaragozí, Benito; Gutierrez, Aaron; Trilles-Oliver, Sergio
Analysis of Public Transport Mobility Data: A System for Sharing and Reusing GIS Database Queries Proceedings Article
In: Geographical Information Systems Theory, Applications and Management. GISTAM 2020, pp. 102-118, Springer, Cham, 2021, ISBN: 978-3-030-76374-9.
Abstract | Links | BibTeX | Tags: Geographic Information Systems (GIS), public transport, urban mobility
@inproceedings{Zaragozi2021d,
title = {Analysis of Public Transport Mobility Data: A System for Sharing and Reusing GIS Database Queries},
author = {Benito Zaragozí and Aaron Gutierrez and Sergio Trilles-Oliver},
doi = {https://doi.org/10.1007/978-3-030-76374-9_7},
isbn = {978-3-030-76374-9},
year = {2021},
date = {2021-06-01},
booktitle = {Geographical Information Systems Theory, Applications and Management. GISTAM 2020},
volume = {1411},
pages = {102-118},
publisher = {Springer, Cham},
series = {Communications in Computer and Information Science},
abstract = {Data from automated fare collection systems have become almost essential in the study of the mobility of people using public transport. Among other advantages, the data collected enable longitudinal studies to be carried out with a detail that other sources cannot approximate. However, despite the great potential of these data, the data collecting systems are usually intended for purely accounting purposes and not for carrying out mobility studies. Largely for this reason, these data are not always used to their full potential, and so it is necessary to propose strategies that allow the preparation and exploitation of these data, especially in those cases where the usefulness and value of the data have not yet been proven. This study proposes a workflow that seeks to prevent duplication of efforts when querying this type of data. The implementation of a generic database model and a protocol for sharing meaningful queries and results greatly facilitates an initial analysis of these data. This strategy has been applied within a specific project, but it could be the basis for sharing methods between different studies.},
keywords = {Geographic Information Systems (GIS), public transport, urban mobility},
pubstate = {published},
tppubtype = {inproceedings}
}
Data from automated fare collection systems have become almost essential in the study of the mobility of people using public transport. Among other advantages, the data collected enable longitudinal studies to be carried out with a detail that other sources cannot approximate. However, despite the great potential of these data, the data collecting systems are usually intended for purely accounting purposes and not for carrying out mobility studies. Largely for this reason, these data are not always used to their full potential, and so it is necessary to propose strategies that allow the preparation and exploitation of these data, especially in those cases where the usefulness and value of the data have not yet been proven. This study proposes a workflow that seeks to prevent duplication of efforts when querying this type of data. The implementation of a generic database model and a protocol for sharing meaningful queries and results greatly facilitates an initial analysis of these data. This strategy has been applied within a specific project, but it could be the basis for sharing methods between different studies.
Zaragozí, Benito; Rodríguez-Sala, Jesús Javier; Trilles-Oliver, Sergio; Ramón-Morte, Alfredo
Integration of New Data Layers to Support the Land Cover and Use Information System of Spain (SIOSE): An Approach from Object-Oriented Modelling Proceedings Article
In: Geographical Information Systems Theory, Applications and Management. GISTAM 2020, pp. 85-101, Springer, Cham, 2021, ISBN: 978-3-030-76374-9.
Abstract | Links | BibTeX | Tags: Geographic Information Systems (GIS), land cover classification
@inproceedings{Zaragozi2021e,
title = {Integration of New Data Layers to Support the Land Cover and Use Information System of Spain (SIOSE): An Approach from Object-Oriented Modelling},
author = {Benito Zaragozí and Jesús Javier Rodríguez-Sala and Sergio Trilles-Oliver and Alfredo Ramón-Morte},
doi = {https://doi.org/10.1007/978-3-030-76374-9_6},
isbn = {978-3-030-76374-9},
year = {2021},
date = {2021-06-01},
booktitle = {Geographical Information Systems Theory, Applications and Management. GISTAM 2020},
volume = {1411},
pages = {85-101},
publisher = {Springer, Cham},
series = {Communications in Computer and Information Science},
abstract = {Land use and land cover (LULC) information is essential in territorial planning for the study of natural risks and landscape science. Given the importance of LULC data, increasing efforts are being focused on producing quality and easily accessible databases. In Spain, the Land Use and Cover Information System (SIOSE) is a clear example of these efforts. The SIOSE database was one of the first to be built following an object-oriented data model and a set of specifications that facilitates the integration of data from different sources. However, the SIOSE information alone is so accurate and complete that there is a usability gap that means that this data is not used to its full potential in some contexts, nor is the possibility of integrating other data sources considered. In this work, we examine the circumstances of this usability gap, its causes and consequences, and we introduce an extension of the SIOSE object-oriented data model that will enable enriching the LULC data including new useful data for different types of studies. Finally, an example of implementation of this extended model serves to encourage the user community to propose and disseminate new extended LULC datasets that facilitate various types of landscape studies.},
keywords = {Geographic Information Systems (GIS), land cover classification},
pubstate = {published},
tppubtype = {inproceedings}
}
Land use and land cover (LULC) information is essential in territorial planning for the study of natural risks and landscape science. Given the importance of LULC data, increasing efforts are being focused on producing quality and easily accessible databases. In Spain, the Land Use and Cover Information System (SIOSE) is a clear example of these efforts. The SIOSE database was one of the first to be built following an object-oriented data model and a set of specifications that facilitates the integration of data from different sources. However, the SIOSE information alone is so accurate and complete that there is a usability gap that means that this data is not used to its full potential in some contexts, nor is the possibility of integrating other data sources considered. In this work, we examine the circumstances of this usability gap, its causes and consequences, and we introduce an extension of the SIOSE object-oriented data model that will enable enriching the LULC data including new useful data for different types of studies. Finally, an example of implementation of this extended model serves to encourage the user community to propose and disseminate new extended LULC datasets that facilitate various types of landscape studies.
Gould, Michael
GIS in Africa Journal Article
In: Transactions in GIS, vol. 25, no. 2, pp. 672-673, 2021, ISSN: 1467-9671.
Links | BibTeX | Tags: Geographic Information Systems (GIS)
@article{Gould2021a,
title = {GIS in Africa},
author = {Michael Gould},
doi = {https://doi.org/10.1111/tgis.12740},
issn = {1467-9671},
year = {2021},
date = {2021-02-16},
journal = {Transactions in GIS},
volume = {25},
number = {2},
pages = {672-673},
keywords = {Geographic Information Systems (GIS)},
pubstate = {published},
tppubtype = {article}
}
Granell-Canut, Carlos; Pesántez-Cabrera, Paola; Vilches-Blázquez, Luis; Achig, Rosario; Luaces, Miguel; Cortiñas-Álvarez, Alejandro; Chayle, Carolina; Morocho-Zurita, Villie
A scoping review on the use, processing and fusion of geographic data in virtual assistants Journal Article
In: Transactions in GIS, vol. 25, no. 4, pp. 1784-1808, 2021, ISBN: 1361-1682.
Abstract | Links | BibTeX | Tags: data analysis methods, Geographic Information Systems (GIS), review, virtual assistants
@article{Granell2021,
title = {A scoping review on the use, processing and fusion of geographic data in virtual assistants},
author = {Carlos Granell-Canut and Paola Pesántez-Cabrera and Luis Vilches-Blázquez and Rosario Achig and Miguel Luaces and Alejandro Cortiñas-Álvarez and Carolina Chayle and Villie Morocho-Zurita},
doi = {https://doi.org/10.1111/tgis.12720},
isbn = {1361-1682},
year = {2021},
date = {2021-01-05},
journal = {Transactions in GIS},
volume = {25},
number = {4},
pages = {1784-1808},
abstract = {Virtual assistants are a growing area of research in academia and industry, with an impact on people’s daily lives. Many disciplines in science are moving towards the incorporation of intelligent virtual assistants in multiple scenarios and application domains, and GIScience is not external to this trend since they may be connected to intelligent spatial decision support systems. This article presents a scoping review to indicate relevant literature pertinent to intelligent virtual assistants and their usage of geospatial information and technologies. In particular, the study was designed to find critical aspects of GIScience and how to contribute to the development of virtual assistants. Moreover, this work explores the most prominent research lines as well as relevant technologies/platforms to determine the main challenges and current limitations regarding the use and implementation of virtual assistants in geospatial-related fields. As a result, this review shows the current state of geospatial applications regarding the use of intelligent virtual assistants, as well as revealing gaps and limitations in the use of spatial methods, standards, and resources available in spatial data infrastructures to develop intelligent decision systems based on virtual assistants for a wide array of application domains.},
keywords = {data analysis methods, Geographic Information Systems (GIS), review, virtual assistants},
pubstate = {published},
tppubtype = {article}
}
Virtual assistants are a growing area of research in academia and industry, with an impact on people’s daily lives. Many disciplines in science are moving towards the incorporation of intelligent virtual assistants in multiple scenarios and application domains, and GIScience is not external to this trend since they may be connected to intelligent spatial decision support systems. This article presents a scoping review to indicate relevant literature pertinent to intelligent virtual assistants and their usage of geospatial information and technologies. In particular, the study was designed to find critical aspects of GIScience and how to contribute to the development of virtual assistants. Moreover, this work explores the most prominent research lines as well as relevant technologies/platforms to determine the main challenges and current limitations regarding the use and implementation of virtual assistants in geospatial-related fields. As a result, this review shows the current state of geospatial applications regarding the use of intelligent virtual assistants, as well as revealing gaps and limitations in the use of spatial methods, standards, and resources available in spatial data infrastructures to develop intelligent decision systems based on virtual assistants for a wide array of application domains.
2020
Zaragozí, Benito; Trilles-Oliver, Sergio; Carrion, D.; Albert, Y. Pérez
A geotagged image dataset with compass directions for studying the drivers of farmland abandonment Journal Article
In: Data in brief, vol. 33, pp. 106340, 2020.
Abstract | Links | BibTeX | Tags: Agriculture, Geographic Information Systems (GIS)
@article{Zaragozí2020d,
title = {A geotagged image dataset with compass directions for studying the drivers of farmland abandonment},
author = {Benito Zaragozí and Sergio Trilles-Oliver and D. Carrion and Y. Pérez Albert},
doi = {https://doi.org/10.1016/j.dib.2020.106340 },
year = {2020},
date = {2020-12-09},
journal = {Data in brief},
volume = {33},
pages = {106340},
abstract = {In this work, we present a dataset containing a collection of pictures taken during the fieldwork of a farmland abandonment study. Data was taken in 2010 with a compact camera that incorporates GPS and a digital compass sensor. The photographs were taken as part of a GIS database. Using their Exif metadata, we created a layer of geographic fields of view (geoFOVs) that can be used to perform specific spatial queries. The dataset contains 2,235 pictures and GIS layers of geoFOVs contextualising the agricultural plots being photographed. The dataset is hosted in a Zenodo dataset repository.},
keywords = {Agriculture, Geographic Information Systems (GIS)},
pubstate = {published},
tppubtype = {article}
}
In this work, we present a dataset containing a collection of pictures taken during the fieldwork of a farmland abandonment study. Data was taken in 2010 with a compact camera that incorporates GPS and a digital compass sensor. The photographs were taken as part of a GIS database. Using their Exif metadata, we created a layer of geographic fields of view (geoFOVs) that can be used to perform specific spatial queries. The dataset contains 2,235 pictures and GIS layers of geoFOVs contextualising the agricultural plots being photographed. The dataset is hosted in a Zenodo dataset repository.
Petkov, Mihail
Universidade Nova De Lisboa, Lisboa, 2020.
Abstract | Links | BibTeX | Tags: Geographic Information Systems (GIS), machine learning, Mastergeotech
@mastersthesis{Petkov2020,
title = {Evaluation of spatial data’s impact in mid-term room rent price through application of spatial econometrics and machine learning. Case study: Lisbon},
author = {Mihail Petkov},
editor = {Roberto Henriques and Joel Ferreira da Silva and Carlos Granell-Canut (Supervisors)
},
url = {http://hdl.handle.net/10362/93716},
year = {2020},
date = {2020-02-28},
address = {Lisboa},
school = {Universidade Nova De Lisboa},
abstract = {Household preferences is a topic whose relevance can be found to dominate the applied economics, but whereas urban economies view cities as production centers, this thesis aims to give importance to the role of consumption. Provision to PoIs might give explanation to what individuals value as an important asset for improvement of their quality of life in a chosen city. As such, understanding short-term rentals and real estate prices have induced various research to seek proof of impacting factors, but analysis of mid-term rent has faced the challenge of being an overlooked category. This thesis consists of an integrated three-steps approach to analyze spatial data’s impact over the mid-term room rent, choosing Lisbon as its case study. The proposed methodology constitutes use of traditional spatial econometric models and SVR, encompassing a large set of proxies for amenities that might be recognized to hold a possible impact over rent prices. The analytical frameworks’ first step is to create a suitable HPM model that captures the data well, so significant variables can be detected and analyzed as a discrete dataset. The second step applies subsets of the dataset in the creation of SVR models, in hopes of identifying the SVs influencing price variances. Finally, SOM clusters are chosen to address whether more natural order of data division exists. Results confirm the impact of proximity to various categories of amenities, but the enrichment of models with the proposed proxies of spatial data failed to corroborate attainment of model with a higher accuracy. (Nüst et al., 2018) provides a self-assessment of the reproducibility of research, and according to the criteria given, this dissertation is evaluated as: 0, 2, 1, 2, 2 (input data, preprocessing, methods, computational environment, results).},
keywords = {Geographic Information Systems (GIS), machine learning, Mastergeotech},
pubstate = {published},
tppubtype = {mastersthesis}
}
Household preferences is a topic whose relevance can be found to dominate the applied economics, but whereas urban economies view cities as production centers, this thesis aims to give importance to the role of consumption. Provision to PoIs might give explanation to what individuals value as an important asset for improvement of their quality of life in a chosen city. As such, understanding short-term rentals and real estate prices have induced various research to seek proof of impacting factors, but analysis of mid-term rent has faced the challenge of being an overlooked category. This thesis consists of an integrated three-steps approach to analyze spatial data’s impact over the mid-term room rent, choosing Lisbon as its case study. The proposed methodology constitutes use of traditional spatial econometric models and SVR, encompassing a large set of proxies for amenities that might be recognized to hold a possible impact over rent prices. The analytical frameworks’ first step is to create a suitable HPM model that captures the data well, so significant variables can be detected and analyzed as a discrete dataset. The second step applies subsets of the dataset in the creation of SVR models, in hopes of identifying the SVs influencing price variances. Finally, SOM clusters are chosen to address whether more natural order of data division exists. Results confirm the impact of proximity to various categories of amenities, but the enrichment of models with the proposed proxies of spatial data failed to corroborate attainment of model with a higher accuracy. (Nüst et al., 2018) provides a self-assessment of the reproducibility of research, and according to the criteria given, this dissertation is evaluated as: 0, 2, 1, 2, 2 (input data, preprocessing, methods, computational environment, results).
Mustafa, Muhammad Hasan
Using immersive video environment simulations for calibration of evacuation models Masters Thesis
Universidade Nova De Lisboa, Lisboa, 2020.
Abstract | Links | BibTeX | Tags: Geographic Information Systems (GIS), Mastergeotech
@mastersthesis{Mustafa2020,
title = {Using immersive video environment simulations for calibration of evacuation models},
author = {Muhammad Hasan Mustafa},
editor = {Cristian Kray and Judith Verstegen and Sven Casteleyn (Supervisors)},
url = {http://hdl.handle.net/10362/94402},
year = {2020},
date = {2020-01-31},
address = {Lisboa},
school = {Universidade Nova De Lisboa},
abstract = {This thesis explores the potential of Immersive Video Environment (IVE) simulations for studying evacuation behavior and calibration parameters of evacuation models. Crowd disasters have increased in frequency and intensity and have resulted in many casualties in recent years. These disasters can occur at different scenarios and are caused by a myriad of reasons. Over the years, the methods to study the evacuation behavior have evolved and evacuation models are extensively used. There are many kinds of models that are used, however there are many issues faced in the calibration of these models. The reason for the problems in calibration mostly stem from a scarcity of data related to evacuation behavior. It is difficult to conduct evacuation drills and gather data from actual evacuations. Virtual Reality (VR), in particular the IVE can help bridge this gap by allowing for systematic studies, that are safe, reliable and with high ecological validity to be conducted. To study the viability of IVE simulations for this, a user study was conducted to observe the evacuation behavior and see the impact of building familiarity and visibility on evacuation performance. The impact of building familiarity and visibility was studied on the Route Choice, Exit Choice, Decision Time, Total Evacuation Time and User errors. The results of the study showed that the evacuation performance increases with building familiarity and is reduced when the visibility is low, this is much more apparent when the users are not familiar with the building. The study also established the Route Choice as being the main contributing factor to the Total Evacuation Time and showed that in most of the cases (75% of the time) the people not familiar with the building chose familiar exits while the people familiar with the building chose emergency exits. The results of the study coincide with the existing literature and show that the use of IVE simulations is a viable method for studying evacuation behavior and calibration parameters for evacuation models.},
keywords = {Geographic Information Systems (GIS), Mastergeotech},
pubstate = {published},
tppubtype = {mastersthesis}
}
This thesis explores the potential of Immersive Video Environment (IVE) simulations for studying evacuation behavior and calibration parameters of evacuation models. Crowd disasters have increased in frequency and intensity and have resulted in many casualties in recent years. These disasters can occur at different scenarios and are caused by a myriad of reasons. Over the years, the methods to study the evacuation behavior have evolved and evacuation models are extensively used. There are many kinds of models that are used, however there are many issues faced in the calibration of these models. The reason for the problems in calibration mostly stem from a scarcity of data related to evacuation behavior. It is difficult to conduct evacuation drills and gather data from actual evacuations. Virtual Reality (VR), in particular the IVE can help bridge this gap by allowing for systematic studies, that are safe, reliable and with high ecological validity to be conducted. To study the viability of IVE simulations for this, a user study was conducted to observe the evacuation behavior and see the impact of building familiarity and visibility on evacuation performance. The impact of building familiarity and visibility was studied on the Route Choice, Exit Choice, Decision Time, Total Evacuation Time and User errors. The results of the study showed that the evacuation performance increases with building familiarity and is reduced when the visibility is low, this is much more apparent when the users are not familiar with the building. The study also established the Route Choice as being the main contributing factor to the Total Evacuation Time and showed that in most of the cases (75% of the time) the people not familiar with the building chose familiar exits while the people familiar with the building chose emergency exits. The results of the study coincide with the existing literature and show that the use of IVE simulations is a viable method for studying evacuation behavior and calibration parameters for evacuation models.
2018
Pajarito-Grajales, Diego Fabián
Mobile Services for Green Living PhD Thesis
2018.
BibTeX | Tags: GEO-C, Geographic Information Systems (GIS), urban mobility
@phdthesis{Grajales2018b,
title = {Mobile Services for Green Living},
author = {Diego Fabián Pajarito-Grajales},
editor = {Michael Gould and Christian Kray and Tiago André Oliveira (supervisors)},
year = {2018},
date = {2018-11-23},
keywords = {GEO-C, Geographic Information Systems (GIS), urban mobility},
pubstate = {published},
tppubtype = {phdthesis}
}
Aguilar-Moreno, Estefanía; Monfort-Muriach, Aida; Casteleyn, Sven
EO4GEO: Is your knowledge aligned with the GI/EO sector demands? Proceedings Article
In: FOSS4G Europe, Guimaraes, Portugal 2018. July 16-21 2018 , 2018.
BibTeX | Tags: earth observation, education, EO4GEO, Geographic Information Systems (GIS)
@inproceedings{Aguilar-Moreno2018,
title = {EO4GEO: Is your knowledge aligned with the GI/EO sector demands?},
author = {Estefanía Aguilar-Moreno and Aida Monfort-Muriach and Sven Casteleyn},
year = {2018},
date = {2018-07-19},
booktitle = {FOSS4G Europe, Guimaraes, Portugal 2018. July 16-21 2018 },
keywords = {earth observation, education, EO4GEO, Geographic Information Systems (GIS)},
pubstate = {published},
tppubtype = {inproceedings}
}
Thapa, Mahesh
Automatic Map Visualisation from texts related to development plans using Natural Language Processing Masters Thesis
Departamento de Lenguajes y Sistemas Informáticos, Castellón, 2018.
BibTeX | Tags: data visualization, Geographic Information Systems (GIS), Mastergeotech, natural language processing
@mastersthesis{Thapa2018,
title = {Automatic Map Visualisation from texts related to development plans using Natural Language Processing},
author = {Mahesh Thapa},
editor = {Francisco Ramos-Romero and Óscar Belmonte-Fernández and Roberto Henriques (supervisors) },
year = {2018},
date = {2018-03-02},
address = {Castellón},
school = {Departamento de Lenguajes y Sistemas Informáticos},
keywords = {data visualization, Geographic Information Systems (GIS), Mastergeotech, natural language processing},
pubstate = {published},
tppubtype = {mastersthesis}
}
Mascarenhas, C. T.
Multi-criteria assessment to evaluate potential risk due to exposure to agrochemical products in Natura 2000 areas Masters Thesis
Universidade Nova de Lisboa, Lisboa, 2018.
BibTeX | Tags: Geographic Information Systems (GIS), Mastergeotech
@mastersthesis{Mascarenhas2018,
title = {Multi-criteria assessment to evaluate potential risk due to exposure to agrochemical products in Natura 2000 areas},
author = {C.T. Mascarenhas},
editor = {Pedro Cabral and Carlos Granell-Canut and Judith Verstegen},
year = {2018},
date = {2018-02-27},
address = {Lisboa},
school = {Universidade Nova de Lisboa},
keywords = {Geographic Information Systems (GIS), Mastergeotech},
pubstate = {published},
tppubtype = {mastersthesis}
}
2017
Páez, Fernando Benítez; Trilles-Oliver, Sergio; Huerta-Guijarro, Joaquín
City data 3.0 - A generic initiative to promote and assess the reuse of geographic information in cities - early steps Proceedings Article
In: Kommers, P.; (Eds.), L Rodrigues (Ed.): Proceedings of the International Conference on ICT, Society and Human Beings 2017 - Part of the Multi Conference on Computer Science and Information Systems. IADIS, pp. 221-225, 2017.
Links | BibTeX | Tags: GEO-C, Geographic Information, Geographic Information Systems (GIS), Smart Cities
@inproceedings{benitezm2017citydata,
title = {City data 3.0 - A generic initiative to promote and assess the reuse of geographic information in cities - early steps},
author = { Fernando Benítez Páez and Sergio Trilles-Oliver and Joaquín Huerta-Guijarro},
editor = {P. Kommers and L Rodrigues (Eds.)},
url = {http://geo-c.eu/pubs/2017_BenitezIADIS.pdf},
year = {2017},
date = {2017-07-01},
booktitle = {Proceedings of the International Conference on ICT, Society and Human Beings 2017 - Part of the Multi Conference on Computer Science and Information Systems. IADIS},
pages = {221-225},
keywords = {GEO-C, Geographic Information, Geographic Information Systems (GIS), Smart Cities},
pubstate = {published},
tppubtype = {inproceedings}
}
Páez, Fernando Benítez; Huerta-Guijarro, Joaquín
City Data 3.0: A generic initiative to promote and assess the reuse of geographic information in cities: Early steps Proceedings Article
In: Bregt, Arnold; Sarjakoski, Tina; von Lammeren, Ron; van Rip (Eds.)., Frank (Ed.): Societal Geo-Innovation : short papers, posters and poster abstracts of the 20th AGILE Conference on Geographic Information Science. 9-12 May 2017, Wageningen, the Netherlands., Wageningen University & Research, 2017, ISBN: 978-90-816960-7-4.
BibTeX | Tags: GEO-C, Geographic Information Systems (GIS)
@inproceedings{Páez2017,
title = {City Data 3.0: A generic initiative to promote and assess the reuse of geographic information in cities: Early steps},
author = {Fernando Benítez Páez and Joaquín Huerta-Guijarro},
editor = {Arnold Bregt and Tina Sarjakoski and Ron von Lammeren and Frank van Rip (Eds.). },
isbn = {978-90-816960-7-4},
year = {2017},
date = {2017-05-12},
booktitle = {Societal Geo-Innovation : short papers, posters and poster abstracts of the 20th AGILE Conference on Geographic Information Science. 9-12 May 2017, Wageningen, the Netherlands.},
publisher = {Wageningen University & Research},
keywords = {GEO-C, Geographic Information Systems (GIS)},
pubstate = {published},
tppubtype = {inproceedings}
}
2016
Gil-Escura, Alberto
Open Data, a new approach with GIS components Masters Thesis
Universitat Jaume I, 2016.
Abstract | Links | BibTeX | Tags: Geographic Information Systems (GIS), Mastergeotech, open data
@mastersthesis{GilEscura2016,
title = {Open Data, a new approach with GIS components},
author = { Alberto Gil-Escura},
editor = {Sven Casteleyn (supervisor) and Marco Painho (co-supervisor) and Joaquín Huerta-Guijarro (co-supervisor)},
url = {http://hdl.handle.net/10234/161171},
year = {2016},
date = {2016-03-07},
school = {Universitat Jaume I},
abstract = {In this work, we wanted to develop a proposal to improve the Open Data Infrastructure in Universitat Jaume I. To do this, we have studied the definition of Open Data and its principles. In addition, thanks to the rise of GIS technologies, we have studied how to add some GIS components to our proposal. These components are to manage spatial data, to visualize spatial data and to process spatial analysis. We have also made a comparison between different Open Data Infrastructures to get a general idea of how is running today. From a practical perspective, it can give a requirements for an implementation of an Open Data Infrastructure for Universitat Jaume I. Finally, we made a two cases study and we have done a test that has given us some ideas as future work.},
keywords = {Geographic Information Systems (GIS), Mastergeotech, open data},
pubstate = {published},
tppubtype = {mastersthesis}
}
In this work, we wanted to develop a proposal to improve the Open Data Infrastructure in Universitat Jaume I. To do this, we have studied the definition of Open Data and its principles. In addition, thanks to the rise of GIS technologies, we have studied how to add some GIS components to our proposal. These components are to manage spatial data, to visualize spatial data and to process spatial analysis. We have also made a comparison between different Open Data Infrastructures to get a general idea of how is running today. From a practical perspective, it can give a requirements for an implementation of an Open Data Infrastructure for Universitat Jaume I. Finally, we made a two cases study and we have done a test that has given us some ideas as future work.
2015
Huseynli, Shahin
Determination of the most suitable oil pipeline route using GIS least cost path analysis: Case Study: Keystone XL, Nebraska State - USA Masters Thesis
Universitat Jaume I, 2015.
BibTeX | Tags: Geographic Information Systems (GIS), Mastergeotech
@mastersthesis{Huseynli2015,
title = {Determination of the most suitable oil pipeline route using GIS least cost path analysis: Case Study: Keystone XL, Nebraska State - USA},
author = { Shahin Huseynli},
editor = {Marco Painho (supervisor) and Sven Casteleyn (co-supervisor) and Rauf Amanov (co-supervisor)},
year = {2015},
date = {2015-02-27},
school = {Universitat Jaume I},
keywords = {Geographic Information Systems (GIS), Mastergeotech},
pubstate = {published},
tppubtype = {mastersthesis}
}
Trilles-Oliver, Sergio
Aproximación al tratamiento completo del ciclo de vida sobre datos provenientes de sensores mediante estándares GIS PhD Thesis
Universitat Jaume I, 2015.
Abstract | BibTeX | Tags: Geographic Information Systems (GIS), Internet of things, Interoperability, Real time analysis, Sensors, Standards
@phdthesis{TrillesOliver2015,
title = {Aproximación al tratamiento completo del ciclo de vida sobre datos provenientes de sensores mediante estándares GIS},
author = {Sergio Trilles-Oliver},
year = {2015},
date = {2015-01-01},
school = {Universitat Jaume I},
abstract = {El aumento de la necesidad por conocer cu´ al es el estado de cualquier entorno, ya sea por motivos medioambientales, econ´omicos, como sociales, ha propiciado el crecimiento del uso de nodos de sensorizaci ´on capaces de cuantificar y cualificar cualquier tipo de fen´omeno observable. Esta necesidad, combinada con la disminuci ´on de los precios y tama˜no de los componentes, ha favorecido el despliegue de dichos nodos con la finalidad de interconectarse entre ellos formando una red que proporciona los datos de sensorizaci ´on. Mayoritariamente, las redes de sensores disponibles actualmente ofrecen sus observaciones mediante protocolos y formatos propietarios. Esta situaci ´on, muestra la carencia de un est´andar com´un para que facilite la gesti ´on de los datos generados por los sensores de una forma interoperable. Adem´as, dichos protocolos y formatos, tampoco favorecen el consumo de este tipo de contenido en entornos donde los recursos computacionales son m´as reducidos, como pueden ser tel ´ efonos m´ oviles. La tendencia actual es utilizar los protocolos de Internet para la comunicaci´on entre los nodos de sensorizaci ´on. Dichos protocolos, permiten el uso de los sensores como una parte de Internet, donde el enfoque es llamado el Internet de la Cosas. Esto propicia un escenario id ´oneo para el control de los sensores y favorece el acceso a ellos, aunque actualmente tampoco existe un est´andar capaz de ofrecer dicho enfoque de una forma universal. El uso de los protocolos de Internet ha favorecido el uso de sensores ofreciendo nuevos usos donde antes no era posible. Prueba de ello son las ciudades inteligentes, en las cuales la implantaci´on de sensores en sus alrededores, se ha hecho con la finalidad de conocer y controlar lo que est ´a sucediendo en ella. De esta forma, cada d´?a hay un mayor despliegue de redes de sensores midiendo gran cantidad de fen´omenos diferentes. Estas redes proporcionan grandes vol ´umenes de datos en m´ ultiples formatos, resoluciones y escalas con una alta tasa de generaci ´on que no es posible analizar con las tecnolog´?as actuales, por lo que es necesario ofrecer m´etodos de an´ alisis adaptados a estas caracter´?sticas. Adem´as, tambi´en se necesita ofrecer dichos an´ alisis mediante procesamientos que garanticen su reusabilidad e interoperabilidad. Esto puede lograrse mediante los procesamientos que siguen est´andares, ya que establecen una interfaz predefinida para su ejecuci ´on. Enmarcados en este escenario, se presenta la actual tesis. En ella, se utiliza como hilo conductor el ciclo de vida de cualquier contenido geoespacial, que coincide con el ciclo de los datos proporcionados por sensores. Para ello, se presentan cuatro etapas que son: adquisici ´on, publicaci ´on, acceso y an´ alisis. Para cada una de ellas se detallan los problemas existentes y se proponen diferentes soluciones. Para la etapa de adquisici ´on se presenta una plataforma de sensorizaci ´on, basada en software y hardware libre, energ´eticamente aut´onoma e integrada en el Internet de las Cosas. En la etapa de publicaci ´on se dise ˜na un procesamiento est´andar para la publicaci ´on automatizada de contenido geoespacial en los diferentes servicios est ´andares del ´ambito geoespacial. Adem´as, en la etapa de acceso proponen diferentes formas de acceder a datos de sensores dependiendo del caso de uso en particular. Las interfaces propuestas se basan en seguir los paradigmas del Internet de las Cosas a trav´es del uso de est´andares geoespaciales mejorando la interoperabilidad, adem´as de ofrecer un acceso ligero para dispositivos con restricciones limitadas o de ser capaces de servir grandes cantidades de observaciones. En la ´ultima etapa, el an´ alisis, se aportan dos metodolog´?as diferentes. La primera de ellas permite el an´ alisis en tiempo real sobre grandes cantidades de datos y, la segunda, ofrece aplicar cualquier tipo de modelo utilizando un procesamiento est ´andar. Finalmente se proponen diferentes casos de uso donde son aplicadas todas las aportaciones que se describen.},
keywords = {Geographic Information Systems (GIS), Internet of things, Interoperability, Real time analysis, Sensors, Standards},
pubstate = {published},
tppubtype = {phdthesis}
}
El aumento de la necesidad por conocer cu´ al es el estado de cualquier entorno, ya sea por motivos medioambientales, econ´omicos, como sociales, ha propiciado el crecimiento del uso de nodos de sensorizaci ´on capaces de cuantificar y cualificar cualquier tipo de fen´omeno observable. Esta necesidad, combinada con la disminuci ´on de los precios y tama˜no de los componentes, ha favorecido el despliegue de dichos nodos con la finalidad de interconectarse entre ellos formando una red que proporciona los datos de sensorizaci ´on. Mayoritariamente, las redes de sensores disponibles actualmente ofrecen sus observaciones mediante protocolos y formatos propietarios. Esta situaci ´on, muestra la carencia de un est´andar com´un para que facilite la gesti ´on de los datos generados por los sensores de una forma interoperable. Adem´as, dichos protocolos y formatos, tampoco favorecen el consumo de este tipo de contenido en entornos donde los recursos computacionales son m´as reducidos, como pueden ser tel ´ efonos m´ oviles. La tendencia actual es utilizar los protocolos de Internet para la comunicaci´on entre los nodos de sensorizaci ´on. Dichos protocolos, permiten el uso de los sensores como una parte de Internet, donde el enfoque es llamado el Internet de la Cosas. Esto propicia un escenario id ´oneo para el control de los sensores y favorece el acceso a ellos, aunque actualmente tampoco existe un est´andar capaz de ofrecer dicho enfoque de una forma universal. El uso de los protocolos de Internet ha favorecido el uso de sensores ofreciendo nuevos usos donde antes no era posible. Prueba de ello son las ciudades inteligentes, en las cuales la implantaci´on de sensores en sus alrededores, se ha hecho con la finalidad de conocer y controlar lo que est ´a sucediendo en ella. De esta forma, cada d´?a hay un mayor despliegue de redes de sensores midiendo gran cantidad de fen´omenos diferentes. Estas redes proporcionan grandes vol ´umenes de datos en m´ ultiples formatos, resoluciones y escalas con una alta tasa de generaci ´on que no es posible analizar con las tecnolog´?as actuales, por lo que es necesario ofrecer m´etodos de an´ alisis adaptados a estas caracter´?sticas. Adem´as, tambi´en se necesita ofrecer dichos an´ alisis mediante procesamientos que garanticen su reusabilidad e interoperabilidad. Esto puede lograrse mediante los procesamientos que siguen est´andares, ya que establecen una interfaz predefinida para su ejecuci ´on. Enmarcados en este escenario, se presenta la actual tesis. En ella, se utiliza como hilo conductor el ciclo de vida de cualquier contenido geoespacial, que coincide con el ciclo de los datos proporcionados por sensores. Para ello, se presentan cuatro etapas que son: adquisici ´on, publicaci ´on, acceso y an´ alisis. Para cada una de ellas se detallan los problemas existentes y se proponen diferentes soluciones. Para la etapa de adquisici ´on se presenta una plataforma de sensorizaci ´on, basada en software y hardware libre, energ´eticamente aut´onoma e integrada en el Internet de las Cosas. En la etapa de publicaci ´on se dise ˜na un procesamiento est´andar para la publicaci ´on automatizada de contenido geoespacial en los diferentes servicios est ´andares del ´ambito geoespacial. Adem´as, en la etapa de acceso proponen diferentes formas de acceder a datos de sensores dependiendo del caso de uso en particular. Las interfaces propuestas se basan en seguir los paradigmas del Internet de las Cosas a trav´es del uso de est´andares geoespaciales mejorando la interoperabilidad, adem´as de ofrecer un acceso ligero para dispositivos con restricciones limitadas o de ser capaces de servir grandes cantidades de observaciones. En la ´ultima etapa, el an´ alisis, se aportan dos metodolog´?as diferentes. La primera de ellas permite el an´ alisis en tiempo real sobre grandes cantidades de datos y, la segunda, ofrece aplicar cualquier tipo de modelo utilizando un procesamiento est ´andar. Finalmente se proponen diferentes casos de uso donde son aplicadas todas las aportaciones que se describen.
Granell-Canut, Carlos; Casteleyn, Sven; Atzberger, Clement
Editorial: Geospatial Data Capturing, Processing, Analysis, and Visualization in Agro-Geoinformatics Journal Article
In: Frontiers in Environmental Science, vol. 3, pp. 76, 2015, ISSN: 2296-665X.
Links | BibTeX | Tags: Agro-Geoinformatics, crop monitoring, data visualization, Geographic Information Systems (GIS), geospatial data, precision agriculture, remote sensing for agriculture, sustainable agriculture
@article{GranellCanut2015,
title = {Editorial: Geospatial Data Capturing, Processing, Analysis, and Visualization in Agro-Geoinformatics},
author = { Carlos Granell-Canut and Sven Casteleyn and Clement Atzberger},
url = {http://journal.frontiersin.org/Article/10.3389/fenvs.2015.00076/abstract},
doi = {10.3389/fenvs.2015.00076},
issn = {2296-665X},
year = {2015},
date = {2015-01-01},
journal = {Frontiers in Environmental Science},
volume = {3},
pages = {76},
keywords = {Agro-Geoinformatics, crop monitoring, data visualization, Geographic Information Systems (GIS), geospatial data, precision agriculture, remote sensing for agriculture, sustainable agriculture},
pubstate = {published},
tppubtype = {article}
}
2014
Trilles-Oliver, Sergio; Belmonte-Fernández, Óscar; Díaz-Sánchez, Laura; Huerta-Guijarro, Joaquín
Mobile Access to Sensor Networks by Using GIS Standards and RESTful Services Journal Article
In: IEEE Sensors Journal, vol. 14, no. 12, pp. 4143–4153, 2014, ISSN: 1530-437X, (IF: 1.762, Q2).
Abstract | Links | BibTeX | Tags: Air quality sensors, Geographic Information Systems (GIS), interoperability, meteorological sensors, RESTFul, sensor observation services, Standards
@article{TrillesOliver2014,
title = {Mobile Access to Sensor Networks by Using GIS Standards and RESTful Services},
author = { Sergio Trilles-Oliver and Óscar Belmonte-Fernández and Laura Díaz-Sánchez and Joaquín Huerta-Guijarro},
url = {http://hdl.handle.net/10234/145376},
doi = {10.1109/JSEN.2014.2339931},
issn = {1530-437X},
year = {2014},
date = {2014-01-01},
journal = {IEEE Sensors Journal},
volume = {14},
number = {12},
pages = {4143--4153},
abstract = {There is an increasing deployment of sensor networks that measure the physical state of the environment. These networks provide large volumes of data in many different formats, resolutions, and scales. There are different types and character of data: from meteorological conditions to air quality and the concentrations of pollutants due to human activity, such as transportation or other industry-related actions. Current sensor networks publish this data in different formats. This implies not offering standard access to different data sources. These varieties of formats lead to an interoperability problem. Also, access to these sources is not fast and agile; it prevents access through mobile devices. The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. In this way, these data can be employed by different devices and with diverse context requirements, such as specific location and time. To address this problem, geographic information system services, such as the sensor observation service, in conjunction with representational state transfer architecture are used. A standard-based solution that increases interoperability is presented. It also allows a better integration of data that has already been published in different semistructured formats in order to be used by various platforms (web or mobile). Furthermore, this system adds value to original sensor data in order to assist in the decision making process. Finally, to illustrate how to use these services, a mobile application that shows the hot-spots following air quality index has been developed},
note = {IF: 1.762, Q2},
keywords = {Air quality sensors, Geographic Information Systems (GIS), interoperability, meteorological sensors, RESTFul, sensor observation services, Standards},
pubstate = {published},
tppubtype = {article}
}
There is an increasing deployment of sensor networks that measure the physical state of the environment. These networks provide large volumes of data in many different formats, resolutions, and scales. There are different types and character of data: from meteorological conditions to air quality and the concentrations of pollutants due to human activity, such as transportation or other industry-related actions. Current sensor networks publish this data in different formats. This implies not offering standard access to different data sources. These varieties of formats lead to an interoperability problem. Also, access to these sources is not fast and agile; it prevents access through mobile devices. The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. In this way, these data can be employed by different devices and with diverse context requirements, such as specific location and time. To address this problem, geographic information system services, such as the sensor observation service, in conjunction with representational state transfer architecture are used. A standard-based solution that increases interoperability is presented. It also allows a better integration of data that has already been published in different semistructured formats in order to be used by various platforms (web or mobile). Furthermore, this system adds value to original sensor data in order to assist in the decision making process. Finally, to illustrate how to use these services, a mobile application that shows the hot-spots following air quality index has been developed
2013
Eason, Sarah-Anne
Strategic Noise Mapping with GIS for the Universitat Jaume I Smart Campus: best methodology practices Masters Thesis
Universitat Jaume I, 2013.
BibTeX | Tags: Geographic Information Systems (GIS), noise pollution, Smart Campus, SMARTUJI
@mastersthesis{Eason2013,
title = {Strategic Noise Mapping with GIS for the Universitat Jaume I Smart Campus: best methodology practices},
author = { Sarah-Anne Eason},
editor = {Michael Gould (supervisor) and Joaquín Huerta-Guijarro (co-supervisor) and Marco Painho (co-supervisor)},
year = {2013},
date = {2013-03-01},
school = {Universitat Jaume I},
keywords = {Geographic Information Systems (GIS), noise pollution, Smart Campus, SMARTUJI},
pubstate = {published},
tppubtype = {mastersthesis}
}
González-Sánchez, David
Behavior monitoring and behavioral exchange: an approach from geospatial technologies involving gamification techniques Masters Thesis
Universitat Jaume I, 2013.
BibTeX | Tags: Gamification, Geographic Information Systems (GIS)
@mastersthesis{GonzalezSanchez2013,
title = {Behavior monitoring and behavioral exchange: an approach from geospatial technologies involving gamification techniques},
author = { David González-Sánchez},
editor = {Marco Painho (supervisor) and Laura Díaz-Sánchez (co-supervisor) and Joaquín Huerta-Guijarro},
year = {2013},
date = {2013-01-01},
school = {Universitat Jaume I},
keywords = {Gamification, Geographic Information Systems (GIS)},
pubstate = {published},
tppubtype = {mastersthesis}
}
Drate, Pamella
Public Participation geographic information systems in developing countries: lessons from Uganda on the impacts of interactive screens PPGIS and community perceptions of space Masters Thesis
Universitat Jaume I, 2013.
BibTeX | Tags: citizen participation, Geographic Information Systems (GIS), VGI
@mastersthesis{Drate2013,
title = {Public Participation geographic information systems in developing countries: lessons from Uganda on the impacts of interactive screens PPGIS and community perceptions of space},
author = { Pamella Drate},
editor = {Marco Painho (supervisor) and Óscar Belmonte-Fernández (co-supervisor) and Christian Kray (co-supervisor)},
year = {2013},
date = {2013-01-01},
school = {Universitat Jaume I},
keywords = {citizen participation, Geographic Information Systems (GIS), VGI},
pubstate = {published},
tppubtype = {mastersthesis}
}
2012
Kamberov, Rustam
Decision-making utilizing a Web GIS to Monitor Hazardous Industrial Emissions in the Valencian community of Spain Masters Thesis
Universitat Jaume I, 2012.
BibTeX | Tags: environmental monitoring, Geographic Information Systems (GIS)
@mastersthesis{Kamberov,
title = {Decision-making utilizing a Web GIS to Monitor Hazardous Industrial Emissions in the Valencian community of Spain},
author = { Rustam Kamberov},
editor = {Laura Díaz-Sánchez (supervisor) and Eduard Pultar (co-supervisor) and Miguel Neto (co-supervisor)},
year = {2012},
date = {2012-01-01},
school = {Universitat Jaume I},
keywords = {environmental monitoring, Geographic Information Systems (GIS)},
pubstate = {published},
tppubtype = {mastersthesis}
}
Gur, Nurefsan
GI Systems for public health with an ontology based approach Masters Thesis
Universitat Jaume I, 2012.
BibTeX | Tags: Geographic Information Systems (GIS), Health applications, ontologies
@mastersthesis{Gur2012a,
title = {GI Systems for public health with an ontology based approach},
author = {Nurefsan Gur},
editor = {Laura Díaz-Sánchez (supervisor) and Tomi Kaupinnen (co-supervisor) and Marco Painho (co-supervisor)},
year = {2012},
date = {2012-01-01},
school = {Universitat Jaume I},
keywords = {Geographic Information Systems (GIS), Health applications, ontologies},
pubstate = {published},
tppubtype = {mastersthesis}
}
Clarck-López, Sergio
GIS capacity building for risk management to help developing countries: Case of climate change problem in Amhara rural region (Ethiopia) Masters Thesis
Universitat Jaume I, 2012.
BibTeX | Tags: Disaster management, environmental monitoring, Geographic Information Systems (GIS)
@mastersthesis{Lopez2012,
title = {GIS capacity building for risk management to help developing countries: Case of climate change problem in Amhara rural region (Ethiopia)},
author = { Sergio Clarck-López},
editor = {Joaquín Huerta-Guijarro (supervisor) and Marco Painho (co-supervisor) and Pau Aragó-Galindo (co-supervisor)},
year = {2012},
date = {2012-01-01},
school = {Universitat Jaume I},
keywords = {Disaster management, environmental monitoring, Geographic Information Systems (GIS)},
pubstate = {published},
tppubtype = {mastersthesis}
}
Aragó-Galindo, Pau; Kasie, Tesfahun; Grandío, Antonio; Huerta-Guijarro, Joaquín
gvSIG education for disaster risk management within an international cooperation project Proceedings Article
In: 8as Jornadas internacionales gvSIG. Valencia, Noviembre 2012, Valencia, 2012.
Abstract | Links | BibTeX | Tags: cooperation, Disaster management, Geographic Information Systems (GIS)
@inproceedings{AragoGalindo2012,
title = {gvSIG education for disaster risk management within an international cooperation project},
author = { Pau Aragó-Galindo and Tesfahun Kasie and Antonio Grandío and Joaquín Huerta-Guijarro},
url = {http://hdl.handle.net/10234/160171},
year = {2012},
date = {2012-01-01},
booktitle = {8as Jornadas internacionales gvSIG. Valencia, Noviembre 2012},
address = {Valencia},
abstract = {University jaume I (UJI) and University of Bahir Dar (BDU) are involved in a cooperation project sponsored by “Agencia Española de Cooperación al Desarrollo” (AECID). The project called "Strengthening the research center and community service on disaster risk management to improve food security and agricultural productivity in the Amhara Regional State (Ethiopia)". One of the activities of this project was GIS capacity building for the Disaster Risk Management Department at BDU. The BDU Disaster Risk Management Department is working on identifying vulnerabilities that have an influence in food insecurity. In order to achieve the goals of this research a GIS capacity building is a key factor. GvSIG was chosen as the tool for GIS capacity building within the scope of Disaster Risk Management. This article explains our experiences in International Cooperation for GIS capacity building.},
keywords = {cooperation, Disaster management, Geographic Information Systems (GIS)},
pubstate = {published},
tppubtype = {inproceedings}
}
University jaume I (UJI) and University of Bahir Dar (BDU) are involved in a cooperation project sponsored by “Agencia Española de Cooperación al Desarrollo” (AECID). The project called "Strengthening the research center and community service on disaster risk management to improve food security and agricultural productivity in the Amhara Regional State (Ethiopia)". One of the activities of this project was GIS capacity building for the Disaster Risk Management Department at BDU. The BDU Disaster Risk Management Department is working on identifying vulnerabilities that have an influence in food insecurity. In order to achieve the goals of this research a GIS capacity building is a key factor. GvSIG was chosen as the tool for GIS capacity building within the scope of Disaster Risk Management. This article explains our experiences in International Cooperation for GIS capacity building.
Aragó-Galindo, Pau; Granell-Canut, Carlos; Molin, Paulo Guilherme; Huerta-Guijarro, Joaquín
Participative site-specific agriculture analysis for smallholders Journal Article
In: Precision Agriculture, vol. 13, no. 5, pp. 594–610, 2012, ISSN: 1385-2256, (IF: 1.728, Q1).
Abstract | Links | BibTeX | Tags: Geographic Information Systems (GIS), Participatory GIS
@article{AragoGalindo2012a,
title = {Participative site-specific agriculture analysis for smallholders},
author = { Pau Aragó-Galindo and Carlos Granell-Canut and Paulo Guilherme Molin and Joaquín Huerta-Guijarro},
url = {http://hdl.handle.net/10234/66255},
doi = {10.1007/s11119-012-9267-4},
issn = {1385-2256},
year = {2012},
date = {2012-01-01},
journal = {Precision Agriculture},
volume = {13},
number = {5},
pages = {594--610},
abstract = {Site-specific agriculture has been adopted in a high-tech context using, for instance, in situ sensors, satellite images for remote sensing analysis, and some other technological devices. However, farmers and smallholders without the economic resources and required knowledge to use and to access the latest technology seem to find an impediment to precision agricultural practices. This article discusses the possibility of adopting precision agriculture (PA) principles for site-specific management but in a low technology context for such farmers. The proposed methodology to support PA combines low technology dependency and a participatory approach by involving smallholders, farmers and experts. The case studies demonstrate how the interplay of low technology and a participative approach may be suitable for smallholders for site-specific agriculture analysis.},
note = {IF: 1.728, Q1},
keywords = {Geographic Information Systems (GIS), Participatory GIS},
pubstate = {published},
tppubtype = {article}
}
Site-specific agriculture has been adopted in a high-tech context using, for instance, in situ sensors, satellite images for remote sensing analysis, and some other technological devices. However, farmers and smallholders without the economic resources and required knowledge to use and to access the latest technology seem to find an impediment to precision agricultural practices. This article discusses the possibility of adopting precision agriculture (PA) principles for site-specific management but in a low technology context for such farmers. The proposed methodology to support PA combines low technology dependency and a participatory approach by involving smallholders, farmers and experts. The case studies demonstrate how the interplay of low technology and a participative approach may be suitable for smallholders for site-specific agriculture analysis.