@article{Rodríguez-Pupo2019,
title = {An Analytics Platform for Integrating and Computing Spatio-temporal Metrics},
author = {Luis Enrique Rodríguez-Pupo and Carlos Granell-Canut and Sven Casteleyn},
doi = {10.3390/ijgi8020054},
year = {2019},
date = {2019-03-13},
journal = {ISPRS International Journal of Geo-Information},
volume = {8},
number = {2},
pages = {54},
abstract = {In large-scale context-aware applications, a central design concern is capturing, managing and acting upon location and context data. The ability to understand the collected data and define meaningful contextual events, based on one or more incoming (contextual) data streams, both for a single and multiple users, is hereby critical for applications to exhibit location- and context-aware behaviour. In this article, we describe a context-aware, data-intensive metrics platform —focusing primarily on its geospatial support—that allows exactly this: to define and execute metrics, which capture meaningful spatio-temporal and contextual events relevant for the application realm. The platform (1) supports metrics definition and execution; (2) provides facilities for real-time, in-application actions upon metrics execution results; (3) allows post-hoc analysis and visualisation of collected data and results. It hereby offers contextual and geospatial data management and analytics as a service, and allow context-aware application developers to focus on their core application logic. We explain the core platform and its ecosystem of supporting applications and tools, elaborate the most important conceptual features, and discuss implementation realised through a distributed, micro-service based cloud architecture. Finally, we highlight possible application fields, and present a real-world case study in the realm of psychological health.},
note = {IF},
keywords = {context-aware computing, RyC-Casteleyn, RyC-Granell, Software metrics},
pubstate = {published},
tppubtype = {article}
}

@article{Zubcoff2019,
title = {Evaluating Different i∗-based Approaches for Selecting Functional Requirements while Balancing and Optimizing Non-Functional Requirements: A Controlled Experiment.},
author = {Jose Zubcoff and Irene Garrigós and Sven Casteleyn and J.N. Mazón and José Alfonso Aguilar and F. Gomariz-Castillo},
year = {2019},
date = {2019-02-01},
journal = {Information and Software Technology},
volume = {106},
pages = {68-84},
abstract = {Context: A relevant question in requirements engineering is which set of functional requirements (FR) to prioritize and implement, while keeping non-functional requirements (NFR) balanced and optimized. Objective: We aim to provide empirical evidence that requirement engineers may perform better at the task of selecting FRs while optimizing and balancing NFRs using an alternative (automated) i ∗ post-processed model, compared to the original i ∗ model. Method: We performed a controlled experiment, designed to compare the original i ∗ graphical notation, with our post-processed i ∗ visualizations based on Pareto efficiency (a tabular and a radar chart visualization). Our experiment consisted of solving different exercises of various complexity for selecting FRs while balancing NFR. We considered the efficiency (time spent to correctly answer exercises), and the effectiveness (regarding time: time spent to solve exercises, independent of correctness; and regarding correctness of the answer, independent of time). Results: The efficiency analysis shows it is 3.51 times more likely to solve exercises correctly with our tabular and radar chart visualizations than with i ∗ . Actually, i ∗ was the most time-consuming (effectiveness regarding time), had a lower number of correct answers (effectiveness regarding correctness), and was affected by complexity. Visual or textual preference of the subjects had no effect on the score. Beginners took more time to solve exercises than experts if i ∗ is used (no distinction if our Pareto-based visualizations are used). Conclusion: For complex model instances, the Pareto front based tabular visualization results in more correct answers, compared to radar chart visualization. When we consider effectiveness regarding time, the i ∗ graphical notation is the most time consuming visualization, independent of the complexity of the exercise. Finally, regard- ing efficiency, subjects consume less time when using radar chart visualization than tabular visualization, and even more so compared to the original i ∗ graphical notation.},
note = {IF},
keywords = {RyC-Casteleyn},
pubstate = {published},
tppubtype = {article}
}

@article{Akande2019,
title = {The Lisbon ranking for smart sustainable cities in Europe},
author = {Adelouwa Akande and Pedro Cabral and P. Gomes and Sven Casteleyn},
year = {2019},
date = {2019-02-01},
journal = {Sustainable cities and society},
volume = {44},
pages = {475-487},
abstract = {There has recently been a conscious push for cities in Europe to be smarter and more sustainable, leading to the need to benchmark these cities’ efforts using robust assessment frameworks. This paper ranks 28 European capital cities based on how smart and sustainable they are. Using hierarchical clustering and principal component analysis (PCA), we synthesized 32 indicators into 4 components and computed rank scores. The ranking of European capital cities was based on this rank score. Our results show that Berlin and other Nordic capital cities lead the ranking, while Sofia and Bucharest obtained the lowest rank scores, and are thus not yet on the path of being smart and sustainable. While our city rank scores show little correlation with city size and city population, there is a significant positive correlation with the cities’ GDP per inhabitant, which is an indicator for wealth. Lastly, we detect a geographical divide: 12 of the top 14 cities are Western European; 11 of the bottom 14 cities are Eastern European. These results will help cities understand where they stand vis-à-vis other cities, giving policy makers an opportunity to identify areas for improvement while leveraging areas of strength.},
note = {IF},
keywords = {GEO-C, RyC-Casteleyn, Smart Cities},
pubstate = {published},
tppubtype = {article}
}

@article{Rodríguez-Pupo2017,
title = {On Metrics for Location-aware Games},
author = {Luis Enrique Rodríguez-Pupo and Sven Casteleyn and Carlos Granell-Canut},
doi = {10.3390/ijgi6100299 },
issn = {2220-9964},
year = {2017},
date = {2017-10-01},
journal = {ISPRS International Journal of Geo-Information},
volume = {6},
number = {10},
pages = {299},
abstract = {Metrics are important and well-known tools to measure users’ behavior in games, and gameplay in general. Particularities of location-aware games—a class of games where the player’s location plays a central role-demand specific support in metrics to adequately address the spatio-temporal features such games exhibit. In this article, we analyse and discuss how existing game analytics platforms address the spatio-temporal features of location-aware games. Our analysis reveals that little support is available. Next, based on the analysis, we propose a classification of spatial metrics, embedded in existing literature, and discuss three types of spatial metrics-point-, trajectory- and area-based metrics-, and elaborate examples and difficulties. Finally, we discuss how spatial metrics may be deployed to improve gameplay in location-aware games},
keywords = {geogames, geolocation, RyC-Casteleyn, RyC-Granell, Software metrics},
pubstate = {published},
tppubtype = {article}
}

@article{TGIS:TGIS12282,
title = {Place and city: Operationalizing sense of place and social capital in the urban context},
author = { Albert Acedo-Sánchez and Marco Painho and Sven Casteleyn},
url = {http://dx.doi.org/10.1111/tgis.12282},
doi = {10.1111/tgis.12282},
issn = {1467-9671},
year = {2017},
date = {2017-06-01},
journal = {Transactions in GIS},
volume = {21},
number = {3},
pages = {503-520},
abstract = {The academic interest in social concepts in city contexts, such as sense of place and social capital, has been growing in the last decades. We present a systematic literature review that confirms the strong relationship between sense of place and social capital, from a social sciences point-of-view. It also reveal that little attention has been paid to their spatial dimensions at the urban level, thereby missing the chance to exploit socio-spatial knowledge to improve the day-to-day life in and functioning of the city (e.g. in planning processes, citizen participation, civic engagement). We therefore examine sense of place and social capital from a Geographic Information Science (GISc) viewpoint, and present a formal conceptualization and initial theoretical framework which explicitly describes both concepts, and the relation between them, within the context of a city and from a spatial point of view.},
keywords = {GEO-C, RyC-Casteleyn},
pubstate = {published},
tppubtype = {article}
}

@article{7898821,
title = {Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale},
author = {Lorenzo Busetto and Sven Casteleyn and Carlos Granell-Canut and Monica Pepe and M. Barbieri and M. Campos-Taberner and R. Casa and F. Collivignarelli and R. Confalonieri and A. Crema and F. J. García-Haro and L. Gatti and I. Z. Gitas and Alberto González-Pérez and G. Grau-Muedra and T. Guarneri and F. Holecz and D. Katsantonis and C. Minakou and Ignacio Miralles-Tena and E. Movedi and F. Nutini and V. Pagani and A. Palombo and F. D. Paola and S. Pascucci and S. Pignatti and A. Rampini and L. Ranghetti and E. Ricciardelli and F. Romano and D. G. Stavrakoudis and D. Stroppiana and M. Viggiano and M. Boschetti},
doi = {10.1109/JSTARS.2017.2679159},
issn = {1939-1404},
year = {2017},
date = {2017-04-13},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
volume = {PP},
number = {99},
pages = {1-19},
keywords = {Agriculture, Data models, Electronic mail, ERMES, Europe, food industry, FPU_Miralles, Meteorology, modeling, Monitoring, Remote sensing, RyC-Casteleyn, RyC-Granell},
pubstate = {published},
tppubtype = {article}
}

@article{Degbelo2016,
title = {Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience},
author = {Auriol Degbelo and Carlos Granell-Canut and Sergio Trilles-Oliver and Devanjan Bhattacharya and Sven Casteleyn and Christian Kray},
url = {http://hdl.handle.net/10234/159507},
doi = {10.3390/ijgi5020016},
issn = {2220-9964},
year = {2016},
date = {2016-01-01},
journal = {ISPRS International Journal of Geo-Information},
volume = {5},
number = {2},
pages = {16},
abstract = {The holy grail of smart cities is an integrated, sustainable approach to improve the efficiency of the city's operations and the quality of life of citizens. At the heart of this vision is the citizen, who is the primary beneficiary of smart city initiatives, either directly or indirectly. Despite the recent surge of research and smart cities initiatives in practice, there are still a number of challenges to overcome in realizing this vision. This position paper points out six citizen-related challenges: the engagement of citizens, the improvement of citizens' data literacy, the pairing of quantitative and qualitative data, the need for open standards, the development of personal services, and the development of persuasive interfaces. The article furthermore advocates the use of methods and techniques from GIScience to tackle these challenges, and presents the concept of an Open City Toolkit as a way of transferring insights and solutions from GIScience to smart cities.},
note = {IF: 0.371 - 49/49 (Q4) Geography, physical
0.371 - 29/29 (Q4) Remote Sensing
},
keywords = {citizen participation, GEO-C, GIScience, open data, RyC-Casteleyn, RyC-Granell, Smart Cities},
pubstate = {published},
tppubtype = {article}
}