By Fernando Bacao, Maribel Yasmina Santos, Marco Painho
This is a booklet is a suite of articles that might be submitted as complete papers to the AGILE annual overseas convention. those papers plow through a rigorous evaluate method and file unique and unpublished primary medical study. these released hide major study within the area of geographic info technological know-how platforms. This yr the focal point is on geographic details technology as an enabler of smarter towns and groups, therefore we think contributions that aid visualize the function and contribution of GI technological know-how of their development.
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Additional resources for AGILE 2015: Geographic Information Science as an Enabler of Smarter Cities and Communities
We were able to implement a framework that can be used for spatial search or analysis. We presented a formalization of our approach that is based on the idea of region growing—an Image Segmentation technique—described the implementation of it, and illustrated its feasibility by applying it to a use case scenario. In the case study, we show that our implementation enabled us to ﬁnd well-known shopping areas in Vienna and London by using raw data of OpenStreetMap as a source. We analyzed the results by applying similarity-metrics that potentially enable a user to compare well-known shopping areas between cities.
98–109). , & de Groot, R. T. A. (2013). Trust as a proxy measure for the quality of volunteered geographic information in the case of OpenStreetMap. In Geographic information science at the heart of Europe (pp. 21–37). Berlin: Springer. Lynch, K. (1960). The image of the city (Vol. 11). Cambridge: MIT Press. Mark, D. , & Frank, A. U. (1991). Cognitive and linguistic aspects of geographic space (Vol. 63). Berlin: Springer. , & Mitchell, A. (2001). It’s not community round here, it’s neighbourhood: Neighbourhood change and cohesion in urban regeneration policies.
Scholz, R. , & Lu, Y. (2014). Detection of dynamic activity patterns at a collective level from large-volume trajectory data. International Journal of Geographical Information Science, 28 (5), 946–963. , & Xie, X. (2012). Discovering regions of different functions in a city using human mobility and POIs. In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’12) (pp. 186–194). A Semantic Region Growing Algorithm: Extraction of Urban Settings Heidelinde Hobel, Amin Abdalla, Paolo Fogliaroni and Andrew U.
AGILE 2015: Geographic Information Science as an Enabler of Smarter Cities and Communities by Fernando Bacao, Maribel Yasmina Santos, Marco Painho