@mastersthesis{Ponsoda2020,

title = { Analysis of the effect of bus stops on the bus speed regarding the usage of public bus fleet as probe vehicles },

author = {Ignacio Llorens Ponsoda},

editor = {Joaquín Huerta-Guijarro and Marco Painho and J. de Diego Alarcon

},

url = {http://hdl.handle.net/10362/96488

},

year  = {2020},

date = {2020-03-05},

address = {Castellón},

school = {INIT, UJI},

keywords = {Mastergeotech, urban mobility},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Karmacharya2020,

title = {Sensor fusion of IMU and BLE using a well-condition triangle approach for BLE positioning },

author = {Amrit Karmacharya},

editor = {Joaquín Torres-Sospedra and Cristian Kray and Mauro Castelli (supervisors)},

url = {http://hdl.handle.net/10362/95137},

year  = {2020},

date = {2020-03-05},

address = {Castellón},

school = {INIT, UJI},

abstract = {GPS has been a de-facto standard for outdoor positioning. For indoor positioning different systems exist. But there is no general solution to fit all situations. A popular choice among service provider is BLE-based IPS. BLE-has low cost, low power consumption, and tit is are compatible with newer smartphones. These factors make it suitable for mass market applications with an estimated market of 10 billion USD by 2020. Although, BLEbased IPS have advantages over its counterparts, it has not solved the position accuracy problem yet. More research is needed to meet the position accuracy required for indoor LBS. In this thesis, two ways for accuracy improvement were tested i) a new algorithm for BLE-based IPS was proposed and ii) fusion of BLE position estimates with IMU position estimates was implemented. The first way exploits a concept from control survey called well-conditioned triangle. Theoretically, a well-conditioned triangle is an equilateral triangle but for in practice, triangles whose angles are greater than 30° and less than 120° are considered well-conditioned. Triangles which do not satisfy well-condition are illconditioned. An estimated position has the least error if the geometry from which it is estimated satisfy well-condition. Ill-conditioned triangle should not be used for position estimation. The proposed algorithm checked for well-condition among the closest detected beacons and output estimates only when the beacons geometry satisfied well-condition. The proposed algorithm was compared with weighted centroid (WC) algorithm. Proposed algorithm did not improve on the accuracy but the variance in error was highly reduced. The second way tested was fusion of BLE and IMU using Kálmán filter. Fusion generally gives better results but a noteworthy result from fusion was that the position estimates during turns were accurate. When used separately, both BLE and IMU estimates showed errors in turns. Fusion with IMU improved the accuracy. More research is required to improve accuracy of BLE-based IPS. Reproducibility self-assessment (https://osf.io/j97zp/): 2, 2, 2, 1, 2 (input data, prepossessing, methods, computational environment, results).},

keywords = {Indoor positioning, Mastergeotech},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Qafisheh2020,

title = {Solving the latency problem in real-time GNSS precise point positioning using open source software},

author = {Qafisheh, Mutaz Wajeh Abdlmajid},

editor = {Joaquín Huerta-Guijarro and A. Martín Furones and Marco Painho (supervisors)},

url = {http://hdl.handle.net/10362/95142},

year  = {2020},

date = {2020-03-05},

address = {Castellón},

school = {INIT, UJI},

keywords = {Mastergeotech, open software},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Alema2020,

title = {Using location-based services to improve mental health interventions },

author = {Senait Meles Alema},

editor = {Sven Casteleyn and Carlos Granell-Canut and Roberto Henriques (Supervisors)},

url = {http://hdl.handle.net/10362/95143	},

year  = {2020},

date = {2020-03-05},

address = {Castellón},

school = {INIT, UJI},

abstract = {The rapid developments in the functionalities of smartphones and technological innovations play a vital role in providing location-based services in healthcare. A mental health sensor-based software platform has been developed by the Geospatial Technologies research group (Geotec), consisting of an application generation framework that offers basic geospatial building blocks (location tracking, trajectory recording, geo-fencing), communication building blocks (notifications) and a basic visualization of collected data for therapists. The framework has been successfully tested for building an application to treat agoraphobia, addiction, and depression, using location-based notifications. However, defining the places of interest for a patient is addressed to a limited extent only. Thus, therapists have difficulties of identifying and defining multiple places of interest, and the generated apps were therefore mostly limited to single places of interest, which were manually defined. Hence, they are difficult to use in larger areas. This thesis aims to use a location-based service to support therapists in defining places of interest, based on location and place categories. The work is carried out as an extension of the SYMPTOMS platform, and it allows therapists to define multiple places of interest automatically and for larger areas. The added value of the approach (in terms of automation, ease of use, and universally usable of therapies) by the location-based services in improving mental health interventions is evaluated. As a result, the application was found to be usable with SUS score of 91.875 and useful for therapists to define multiple places of interest at the same time which simplifies the configuration process and makes therapies universally usable. Reproducibility self-assessment (https://osf.io/j97zp/): 2, 2, 1, 2, 2 (input data, pre-processing, methods, computational environment, results).},

keywords = {geolocation, Mastergeotech, mental health},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Lau2020,

title = {Human centric routing algorithm for urban cyclists and the influence of street network spatial configuration},

author = {Braundt Sin Ki Lau},

editor = {Carlos Granell-Canut and Gabriele Filomena and Tiago Oliveira},

url = {http://hdl.handle.net/10362/95144},

year  = {2020},

date = {2020-03-03},

address = {Castellón},

school = {INIT, UJI},

abstract = {Understanding wayfinding behavior of cyclist aid decision makers to design better cities in favor of this sustainable active transport. Many have modelled the physical influence of building environment on wayfinding behavior, with cyclist route choices and routing algorithm. Incorporating cognitive wayfinding approach with Space Syntax techniques not only adds the human centric element to model routing algorithm, but also opens the door to evaluate spatial configuration of cities and its effect on cyclist behavior. This thesis combines novel Space Syntax techniques with Graph Theory to develop a reproducible Human Centric Routing Algorithm and evaluates how spatial configuration of cities influences modelled wayfinding behavior. Valencia, a concentric gridded city, and Cardiff with a complex spatial configuration are chosen as the case study areas. Significant differences in routes distribution exist between cities and suggest that spatial configuration of the city has an influence on the modelled routes. Street Network Analysis is used to further quantify such differences and confirms that the simpler spatial configuration of Valencia has a higher connectivity, which could facilitate cyclist wayfinding. There are clear implications on urban design that spatial configuration with higher connectivity indicates legibility, which is key to build resilience and sustainable communities. The methodology demonstrates automatic, scalable and reproducible tools to create Human Centric Routing Algorithm anywhere in the world.},

keywords = {Mastergeotech, routing, urban mobility, wayfinding},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Mohammed2020,

title = {Ecological risk assessment based on land cover change: A case of Zanzibar-Tanzania, 2003-2027},

author = {Omar Hassan Mohammed},

editor = {Pedro Cabral and Hanna Meyer and Carlos Granell-Canut (supervisors)},

url = {http://hdl.handle.net/10362/93717},

year  = {2020},

date = {2020-02-28},

address = {Lisboa},

school = {Universidade Nova De Lisboa},

abstract = {Land use under improper land management is a major challenge in sub-Saharan Africa, and this has drastically affected ecological security. Addressing environmental impacts related to this major challenge requires faster and more efficient planning strategies that are based on measured information on land-use patterns. This study was employed to access the ecological risk index of Zanzibar using land cover change. We first employed Random Forest classifier to classify three Landsat images of Zanzibar for the year 2003, 2009 and 2018. And then the land change modeler was employed to simulate the land cover for Zanzibar City up to 2027 from land-use maps of 2009 and 2018 under business-as-usual and other two alternative scenarios (conservation and extreme scenario). Next, the ecological risk index of Zanzibar for each land cover was assessed based on the theories of landscape ecology and ecological risk model. The results show that the built-up areas and farmland of Zanzibar island have been increased constantly, while the natural grassland and forest cover were shrinking. The forest, agricultural and grassland have been highly fragmented into several small patches relative to the decrease in their patch areas. On the other hand, the ecological risk index of Zanzibar island has appeared to increase at a constant rate and if the current trend continues this index will increase by up to 8.9% in 2027. In comparing the three future scenarios the results show that the ERI for the conservation scenario will increase by only 4.6% which is at least 1.6% less compared to 6.2% of the business as usual, while the extreme scenario will provide a high increase of ERI of up to 8.9%. This study will help authorities to understand ecological processes and land use dynamics of various land cover classes, along with preventing unmanaged growth and haphazard development of informal housing and infrastructure.},

keywords = {land cover classification, Mastergeotech},

pubstate = {published},

tppubtype = {mastersthesis}

}

@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}

}

@mastersthesis{Achieng2020,

title = {Effect of land use land cover changes on carbon sequestration in Germany},

author = {Annette Achieng},

editor = {Pedro da Costa Brito Cabral and Judith Vergstegen and Sergio Trilles-Oliver (supervisors)},

url = {http://hdl.handle.net/10362/93644},

year  = {2020},

date = {2020-02-27},

address = {Lisboa},

school = {UNL},

abstract = {Using carbon sequestration as an indicator for environmental health, it is possible to assess whether a country is on its way to achieving carbon neutrality in the Land Use, Land-Use Change and Forestry (LULUCF) sector. A great deal of research has been conducted to find out whether there is a relationship between LULC and carbon sequestration. In this paper we explore several scenarios and compare how much carbon would be stored under each of them. In addition, this research aims to find out how best the LULUCF sector can contribute towards a country’s goals in achieving carbon neutrality. This was conducted using two models; Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, which calculates the amount of carbon stored in a landscape and TerrSet’s Land Change Modeller, which uses a combination of neural networks and CA Markov to project future Land Use Land Cover (LULC) scenarios. From the documentation of the carbon trend over the 28-year period using the InVEST model, the study finds that between the years of 1990 and 2018, the amount of carbon stored increased by 0.15%. Under the Business as Usual scenario projection there is an increase of 0.22% by the year 2048. In the development scenario we see a decrease of 0.96% and finally in the two conservation scenarios the carbon stock increases by 4.16% and 0.41% respectively. These results suggest that the scenario which would be most beneficial to Germany would be the first conservation scenario. The results of this study highlight the importance of the LULUCF sector in mitigating climate change. Therefore, they can be used to provide informed decision making to spatial planners and land management stakeholders during the development of future land use planning policies.},

keywords = {environmental monitoring, land, Mastergeotech},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{deTang2020,

title = {Investigating the spatial imprint of sense of place dimensions among foreign residents of Lisbon},

author = {Vicente de Azevedo Tang},

editor = {Marco Painho and Sven Casteleyn and Albert Acedo-Sánchez

},

url = {http://hdl.handle.net/10362/93645

},

year  = {2020},

date = {2020-02-27},

address = {Lisboa},

school = {UNL},

abstract = {Place is a part of the geographic space which people have imbued with symbols and connotations unfolded through psychological mechanisms. Places carry meanings for individuals, communities or even nations evidenced by bonds referred collectively as sense of place. Dissecting sense of place can aid planners in providing a social-psychological layer of the world characterized by the distinct relationships people possess towards the physical settings. In this research, different dimensions of sense of place experienced by foreign residents in the city of Lisbon were investigated through a map-based survey and following spatial analysis.

First, the map-based survey was structured on sense of place dimensions drawn from the environmental psychology and human geography research. The dimensions examined here were: (i) place dependence – functional attachment; (ii) place awareness – familiarity and exploration; (iii) place identity – special bonds and self-identity (iv) place inherited – rootedness and belongingness. The survey was shared online among international residents of the city and hand-drawn polygons were processed in order to represent the spatial lay-outs of sense of place. Subsequently, answers were split into two participant categories: short-terms and long-terms. Overlay analysis, spatial comparison metrics, cluster evaluation, statistics and the confection of map products were carried out in order to compare and visualize the distinct sense of place components.

Results, discussion and interpretation were brought forward through comparing dimensions between participant groups; between dimensions themselves, as well as identifying meaningful places within the urban landscape. The spatial imprint of sense of place in the specified context of study provided insights regarding the distinction between groups. Long-term and short-term dwellers’ geographic dimensions of sense of place were found to have different patterns, properties and characteristics. Lastly, similar to other works within the same scope, this research asserts the potential of using GIS in providing new perspectives and methodologies from which humanities research can greatly benefit.},

keywords = {Mastergeotech, sense of place},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Gonzalez2020,

title = {Rooftop-Place Suitability Analysis for Urban Air Mobility Hubs: A GIS and Neural Network Approach},

author = {Carlos Javier Delgado Gonzalez },

editor = {Joel Dinis Baptista Ferreira da Silva and Roberto Henriques and Carlos Granell-Canut 

},

url = {http://hdl.handle.net/10362/93642},

year  = {2020},

date = {2020-02-27},

address = {Lisboa},

school = {Universidade Nova De Lisboa},

abstract = {Nowadays, constant overpopulation and urban expansion in cities worldwide have led to several transport-related challenges. Traffic congestion, long commuting, parking difficulties, automobile dependence, high infrastructure maintenance costs, poor public transportation, and loss of public space are some of the problems that afflict major metropolitan areas. Trying to provide a solution for the future inner-city transportation, several companies have worked in recent years to design aircraft prototypes that base their technology on current UAVs. Therefore, vehicles with electrical Vertical Take-Off and Landing (eVTOL) technology are rapidly emerging so that they can be included in the Urban Air Mobility (UAM) system. For this to become a reality, space agencies, governments and academics are generating concepts and recommendations to be considered a safe means of transportation for citizens. However, one of the most relevant points for this future implementation is the suitable location of the potential UAM hubs within the metropolitan areas. Since although UAM vehicles can take advantage of infrastructure such as roofs of buildings to clear and land, several criteria must be considered to find the ideal location. As a solution, this thesis seeks to carry out an integral rooftop-place suitability analysis by involving both the essential variables of the urban ecosystem and the adequate rooftop surfaces for UAM operability. The study area selected for this research is Manhattan (New York, U.S), which is the most densely populated metropolitan area of one of the megacities in the world. The applied methodology has an unsupervised-data-driving and GIS-based approach, which is covered in three sections. The first part is responsible for analyzing the suitability of place when evaluating spatial patterns given by the application of Self-Organizing Maps on the urban ecosystem variables attached to the city census blocks. The second part is based on the development of an algorithm in Python for both the evaluation of the flatness of the roof surfaces and the definition of the UAM platform type suitable for its settlement. The final stage performs a combined analysis of the suitability indexes generated for the development of UAM hubs. Results reflect that 16% of the roofs in the study area have high integral suitability for the development of UAM hubs, where UAVs platforms and Vertistops (small size platforms) are the types that can be the most settled in Manhattan. The reproducibility self-assessment of this research when considering Nüst et al. [45] criteria (https://osf.io/j97zp/) is: 2, 1, 2, 1, 1 (input data, preprocessing, methods, computational environment, results). GitHub repository code is available in https://github.com/carlosjdelgadonovaims/rooftop-place_suitability_analysis_for_Urban_Air_Mobility_hubs},

keywords = {Geographic Information Systems (GIS), Mastergeotech, neural networks, urban mobility},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Hildemann2020,

title = {3D flight route optimization for air-taxis in urban areas with evolutionary algorithms},

author = {Moritz Jan Hildemann},

editor = {Judith Verstegen and Carlos Granell-Canut and Mauro Castelli (supervisors) 



},

url = {http://hdl.handle.net/10362/94400},

year  = {2020},

date = {2020-01-31},

address = {Münster},

school = {IFGI},

abstract = {Electric aviation is being developed as a new mode of transportation for the urban areas of the future. This requires an urban air space management that considers these aircraft and restricts the vehicles’ flight routes from passing nofly areas. Flight routes need to be determined that avoid the no-fly areas and are also optimally planned in regard to minimize the flight time, energy consumption and added noise. The no-fly areas and the flight routes can be best modelled as three-dimensional geographical objects. The problem of finding a good flight route that suits all three criteria is hard and requires an optimization technique. Yet, no study exists for optimizing 3D-routes that are represented as geographical objects while avoiding three-dimensional restricted areas. The research gap is overcome by optimizing the 3D-routes with the multi-criteria optimization technique called Nondominated Sorting Genetic Algorithm (II).We applied the optimization on the study area of Manhattan (New York City) and for two representatives of different electrical aircraft, the Lilium Jet and the Ehang 184. Special procedures are proposed in the optimization process to incorporate the chosen geographical representations. We included a seeding procedure for initializing the first flight routes, repair methods for invalid flight routes and a mutation technique that relocates points along a sine curve. The resulting flight routes are compromise solutions for the criteria flight time, energy emission and added noise. Compared to a least distance path, the optimized flight routeswere improved for all three objectives. The lowest observed improvementwas a noise reduction by 36% for the Ehang 184. The highest improvement was an energy consumption reduction by 90% for the Lilium Jet. The proposed representation caused high computation times, which lead to other limitations, e.g. a missing uncertainty analysis.With the proposed methods, we achieved to optimize 3D-routes with multiple objectives and constraints. A reproducibility self-assessment1 resulted in 2, 2, 2, 2, 1 (input data, preprocessing, methods, computational environment, results).},

keywords = {3D, Geographic Information Systems (GIS), Mastergeotech},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Chakraborty2020,

title = {Multi-scale assessment of drought-induced forest dieback },

author = {Tanmoy Chakraborty},

editor = {Hanna Meyer and Torsten Prinz and Carlos Granell-Canut (supervisors) 



},

url = {http://hdl.handle.net/10362/94403},

year  = {2020},

date = {2020-01-31},

address = {Lisboa},

school = {Universidade Nova De Lisboa},

abstract = {Drought has been intensified over the years and will continue to worsen due to climate change. Existing works have focused their attention on crops rather than forests. Adverse effects are felt by all flora and fauna but the impact of the recent droughts on forest ecosystems is still unknown. Greater root depth allows them to withstand the immediate impacts of drought in contrast to crops and other vegetation. This study aims to see not only the interaction between drought and forest vitality from a multi-scale and temporal viewpoint while also to detect the impact of the recent 2018/19 drought on forest vitality based on remote sensing data. The data from the German Drought Monitor was used for the area-wide estimation of drought in Germany. Vegetative indices like NDVI collected from MODIS and Sentinel 2A were used to study the interactions between drought and forest vitality. Data for both have been acquired for the years 2000-2019. A long-standing time series data was decomposed and seasonally adjusted for better cross-correlation between the variables. The cross-correlation was verified by using breakpoints estimation by dividing the data into historically observed and test data. The coniferous-dominated black forest was used as a study area for a more in-depth analysis. Results showed that forest vitality was lowest one month after a severe drought, indicated by the highest decline in NDVI for all the forest types. This was verified using high resolution Sentinel images and the highest change does correspond to the month of January 2019. There was change in NDVI of over -0.5 for 80.63% of the entire study area. The change for each forest type was 81.74%, 54.42%, 84.14% for coniferous, broadleaved and mixed forests respectively. Two decades of NDVI and Soil Moisture Index (SMI) data along with Sentinel images for better area calculation because of higher resolution make this a highly effective approach to assess the impacts of drought on forest dieback. The methodology and data can be applied across the study area and with suitable drought indices can be used to assess the drought induced forest dieback across the globe. However, in-situ analysis with ecological considerations at the individual level could further the validity of the cross-correlations among forest types and drought. Reproducibility self-assessment (https://osf.io/j97zp/): 3, 2, 3, 1, 3 (input data, pre-processing, methods, computational environment, results).},

keywords = {environmental monitoring, Mastergeotech, Remote sensing},

pubstate = {published},

tppubtype = {mastersthesis}

}

@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}

}

@mastersthesis{Gebreegziabihe2019,

title = {Connecting addicted patients and therapists based on GPS for providing context-aware notification},

author = {Fana Gebremeskel Gebreegziabihe},

editor = {Sven Casteleyn and Carlos Granell-Canut and Roberto André Pereira Henriques (supervisors)},

year  = {2019},

date = {2019-03-04},

address = {Castellón},

school = {INIT},

keywords = {Health applications, Mastergeotech, mental health, symptoms},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Shrestha2019,

title = {Data Validation and Quality Assessment of Voluntary Geographic Information Road Network of Castellon for Emergency Route Planning},

author = {Eliza Shrestha},

editor = {Francisco Ramos-Romero and Andrés Muñoz-Zuluaga and Pedro Cabral (supervisors)},

year  = {2019},

date = {2019-03-04},

address = {Castellón},

school = {INIT},

keywords = {Mastergeotech, Volunteered geographic information},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Abdelfattah2019,

title = {Increasing citizen and association involvement in government decision-making by implementing civic engagement platforms: Valencia City case study},

author = {Alaa Bakry Abdelaziz Abdelfattah},

editor = {Joaquín Huerta-Guijarro and Fernando Benítez-Páez and Marco Painho and Andrés Muñoz-Zuluaga (supervisors)},

year  = {2019},

date = {2019-03-04},

address = {Castellón},

school = {INIT},

keywords = {citizen participation, Mastergeotech, Smart Cities},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Marsh-Hunn2019,

title = {Interoperability Enhancement of IoT devices Using Open Web Standards in a Smart Farming Use Case},

author = {Daniel Marsh-Hunn},

editor = {Sergio Trilles-Oliver and Joaquín Huerta-Guijarro and Roberto André Pereira Henriques},

year  = {2019},

date = {2019-03-04},

address = {Castellón},

school = {INIT},

keywords = {Internet of things, interoperability, Mastergeotech, Standards},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Palinggi2019,

title = {Predicting Soccer Outcome with Machine Learning Based on Weather Condition},

author = {Denny Asarias Palinggi},

editor = {Francisco Ramos-Romero and Roberto Henriques and Roberto André Pereira and Jorge Mateu-Mahiques},

year  = {2019},

date = {2019-03-04},

address = {Castellón},

school = {INIT},

keywords = {machine learning, Mastergeotech, sports},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Perotti2019,

title = {Spatial analysis of cyclist mobility patterns using geovisualization to improve public bike-share system in a small size city},

author = {Fabián Rodolfo Perotti},

editor = {Carlos Granell-Canut and Sven Casteleyn and Marco Painho (supervisors) },

year  = {2019},

date = {2019-03-04},

address = {Castellón},

school = {INIT},

keywords = {Biking, Mastergeotech, urban mobility},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{UNL2019,

title = {A survey of usability issues in mobile map-based systems},

author = {Sadegh Karampanah },

editor = {Christian Kray and Morin Ostkamp and Sven Casteleyn (supervisors)},

year  = {2019},

date = {2019-02-05},

address = {Lisboa},

school = {Universidade Nova De Lisboa},

keywords = {Mastergeotech, Mobile apps},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Teka2019,

title = {A systematic comparison of spatial search strategies for open government datasets},

author = {Brhane Bahrishum Teka},

editor = {Auriol Degbelo and Roberto André Pereira Henriques and Sven Casteleyn (supervisors)},

year  = {2019},

date = {2019-02-05},

address = {Lisboa},

school = {Universidade Nova De Lisboa},

keywords = {Mastergeotech, open data},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Sherpa2019,

title = {Retrieving spatial datasets with ease through an application programming interface (API)},

author = {Ang Dawa Sherpa},

editor = {Auriol Degbelo and Carlos Granell-Canut and Joel Dinis Baptista Ferreira da Silva (supervisors)},

year  = {2019},

date = {2019-02-05},

address = {Lisboa},

school = {Universidade Nova De Lisboa},

keywords = {API, Mastergeotech},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Gelaye2019,

title = {Robustness of road network for assessing the resilience of the network},

author = {Tamene Sinishaw Gelaye},

editor = {Judith Verstegen and Sven Castelyn and Roberto Henriques and Andrés Muñoz (supervisors)



},

year  = {2019},

date = {2019-02-05},

address = {Lisboa},

school = {Universidade Nova De Lisboa},

keywords = {Mastergeotech, urban mobility},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Barroso2019,

title = {Evaluating the effects of uncertainty on projections of greenhouse gas emissions: a biofuel case study in Brazil},

author = {Renan Maron Barroso},

editor = {Judith Verstegen and Fllor van den Hilst and Carlos Granell-Canut (supervisors)},

year  = {2019},

date = {2019-02-04},

address = {Münster},

school = {IFGI},

keywords = {Mastergeotech, pro},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Barros2019,

title = {Evaluative Maps 2.0 : a web map approach to capture people´s perceptions of a city},

author = {Matheu Siqueira Barros},

editor = {Auriol Degbelo and Sergio Trilles-Oliver and Gabriele Filomena (supervisors)},

year  = {2019},

date = {2019-02-04},

address = {Münster, Germany},

school = {IFGI},

keywords = {citizen participation, Mastergeotech},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Asanga2019,

title = {Modeling customary land tenure in relation to the national land administration model: case study of the northwest region of Cameroon},

author = {Nicholas Azenui Asanga},

editor = {Malumno Chipofya and Pedro Cabral and Michael Gould (supervisors)},

year  = {2019},

date = {2019-02-04},

address = {Münster},

school = {IFGI},

keywords = {Mastergeotech},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Crespo2019,

title = {Validating a bike network analysis score based on open data as a connectivity measure of urban cycling infrastructure adapted for European Cities},

author = {Lorena Cristina Abad Crespo},

editor = {Edzer Pebesma and Marco Painho and Francisco-José Ramos Romero (supervisors)},

year  = {2019},

date = {2019-02-04},

address = {Münster, Germany},

school = {IFGI},

keywords = {Biking, Mastergeotech, urban mobility},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Iskandaryan2018,

title = {A mobile geospatial application to battle psychological disorders},

author = {Ditsuhi Iskandaryan},

editor = {Sven Casteleyn and Carlos Granell-Canut and Roberto Henriques (supervisors)},

year  = {2018},

date = {2018-03-02},

address = {Castellón},

school = {Departamento de Lenguajes y Sistemas Informáticos},

keywords = {Health applications, Mastergeotech, mental health, Mobile apps, symptoms},

pubstate = {published},

tppubtype = {mastersthesis}

}

@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}

}

@mastersthesis{Twesigye2018,

title = {Improving public health in smart cities in the air pollution context},

author = {Anthony Twesigye},

editor = {Francisco Ramos-Romero and Ana Cristina Costa and Judith Verstegen},

year  = {2018},

date = {2018-03-02},

address = {Castellón},

school = {Departamento de Lenguajes y Sistemas Informáticos},

keywords = {environmental monitoring, Mastergeotech, Smart Cities},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Twanabasu2018,

title = {Sentiment Analysis in Geo Social Streams by using Machine Learning Techniques},

author = {Bikesh Twanabasu},

editor = {Francisco Ramos-Romero and Óscar Belmonte-Fernández and Roberto Henriques (supervisor)},

year  = {2018},

date = {2018-03-02},

address = {Castellón},

school = {Departamento de Lenguajes y Sistemas Informáticos},

keywords = {machine learning, Mastergeotech, sentiment analysis},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Thapa2018b,

title = {Ship recognition on the sea surface using aerial images taken by UAV: a deep learning approach},

author = {Laxmi Thapa},

editor = {V.J. Lobo and Mauro Castelli and Joaquín Torres-Sospedra (supervisors) },

url = {http://hdl.handle.net/10362/63805},

year  = {2018},

date = {2018-02-28},

address = {Lisbon},

school = {Universidade Nova de Lisboa. Information management school},

abstract = {Oceans are very important for mankind, because they are a very important source of food, they have a very large impact on the global environmental equilibrium, and it is over the oceans that most of the world commerce is done. Thus, maritime surveillance and monitoring, in particular identifying the ships used, is of great importance to oversee activities like fishing, marine transportation, navigation in general, illegal border encroachment, and search and rescue operations. In this thesis, we used images obtained with Unmanned Aerial Vehicles (UAVs) over the Atlantic Ocean to identify what type of ship (if any) is present in a given location. Images generated from UAV cameras suffer from camera motion, scale variability, variability in the sea surface and sun glares. Extracting information from these images is challenging and is mostly done by human operators, but advances in computer vision technology and development of deep learning techniques in recent years have made it possible to do so automatically. We used four of the state-of-art pretrained deep learning network models, namely VGG16, Xception, ResNet and InceptionResNet trained on ImageNet dataset, modified their original structure using transfer learning based fine tuning techniques and then trained them on our dataset to create new models. We managed to achieve very high accuracy (99.6 to 99.9% correct classifications) when classifying the ships that appear on the images of our dataset. With such a high success rate (albeit at the cost of high computing power), we can proceed to implement these algorithms on maritime patrol UAVs, and thus improve Maritime Situational Awareness.},

keywords = {Mastergeotech, unmanned air systems},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Schröder2018,

title = {Eco-friendly 3D-Routing – An innovative GIS based 3D-routing-model to estimate and reduce CO2-Emission of distribution transports},

author = {Marc Frederic Schröder},

editor = {Pedro Cabral and S. Hapering and Andrés Muñoz-Zuluaga (supervisor)},

year  = {2018},

date = {2018-02-27},

address = {Lisboa},

school = {Universidade Nova De Lisboa},

keywords = {3D, Mastergeotech},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Lüdtke2018,

title = {Evaluation of Geographic Data Mining Analyst for spatial data mining and remote sensing image analysis of Earth observation data},

author = {Daria Lüdtke},

editor = {Roberto Henriques and M.S. and Carlos Granell-Canut (supervisors) },

year  = {2018},

date = {2018-02-27},

address = {Castellón},

school = {Departamento de Lenguajes y Sistemas Informáticos},

keywords = {data mining, earth observation, Mastergeotech, Remote sensing},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Nišić2018,

title = {Monitoring the environmental impacts and risks of the quarry blasts on the surrounding area using the UAV and Landsat imagery by testing the different classifiers},

author = {Nikolina Nišić},

editor = {Roberto André Pereira and Edzer Pebesma and Joaquín Torres-Sospedra (supervisors)},

year  = {2018},

date = {2018-02-27},

address = {Castellón},

school = {Departamento de Lenguajes y Sistemas Informáticos},

keywords = {environmental monitoring, Mastergeotech, satellite images},

pubstate = {published},

tppubtype = {mastersthesis}

}

@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}

}

@mastersthesis{Thorn2018,

title = {Incorporating regions into navigation systems, using VR},

author = {Caitlin Lara Thorn},

editor = {J. Krukar and Angela Schwering and Francisco Ramos-Romero (supervisors)},

year  = {2018},

date = {2018-02-02},

address = {Castellón},

school = {Departamento de Lenguajes y Sistemas Informáticos},

keywords = {Mastergeotech, virtual reality},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Fishell2018,

title = {What perspective can virtual reality offer for 3D-visualisation in disaster coordination?},

author = {Lisa Fishell},

editor = {Christian Kray and H. Fritze, H and Michael Gould (supervisors)},

year  = {2018},

date = {2018-02-02},

address = {Castellón},

school = {Departamento de Lenguajes y Sistemas Informáticos},

keywords = {3D, Disaster management, Mastergeotech, virtual reality},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Weldeargay2017,

title = {Augmenting pedestrian navigation systems with context-aware display of POIs},

author = {B.G. Weldeargay },

editor = {Carlos Granell-Canut and Roberto Henriques (supervisors)},

year  = {2017},

date = {2017-03-03},

address = {Castellón},

school = {INIT},

keywords = {context-aware computing, Mastergeotech},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Corzo2017,

title = {Investigating applied navigation services on mobile technologies for the current challenges of university campuses},

author = {David Pardo Corzo},

editor = {Joaquín Huerta-Guijarro and Pedro Cabral (supervisors)},

year  = {2017},

date = {2017-03-03},

address = {Castellón},

school = {INIT},

keywords = {Mastergeotech, Mobile apps, Smart Campus},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Martins2017,

title = {Measuring air quality with low-cost sensors in citizen science applications},

author = {Jana Lodi Martins},

editor = {Thomas Bartoschek and Roberto Henriques and Sven Casteleyn},

year  = {2017},

date = {2017-03-03},

address = {Castellón},

school = {INIT},

keywords = {Air quality sensors, Citizen Science, Mastergeotech},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Giuffrida2017,

title = {Assessing the effect of weather on human outdoor perception using Twitter},

author = {Laura M. Giuffrida},

editor = {O. Klemm and Edzer Pebesmaand Joaquín Torres-Sospedra (supervisor)},

year  = {2017},

date = {2017-02-24},

address = {Castellón},

school = {INIT},

keywords = {Geo-social media, Mastergeotech},

pubstate = {published},

tppubtype = {mastersthesis}

}

@mastersthesis{Kochar2017,

title = {Using map-augmented reality panoramic scenes (ARPS) for forced migrants},

author = {A.A. Kochar },

editor = {Auriol Degbelo and Michael Gould and Ana Maria Duarte (supervisor)},

year  = {2017},

date = {2017-02-03},

address = {Castellón},

school = {INIT},

keywords = {augmented reality, Mastergeotech},

pubstate = {published},

tppubtype = {mastersthesis}

}

@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}

}