Download AGILE 2015: Geographic Information Science as an Enabler of by Fernando Bacao, Maribel Yasmina Santos, Marco Painho PDF

By Fernando Bacao, Maribel Yasmina Santos, Marco Painho

This is a ebook is a set of articles that would be submitted as complete papers to the AGILE annual overseas convention. those papers battle through a rigorous evaluation procedure and file unique and unpublished primary clinical study. these released disguise major study within the area of geographic details technology structures. This yr the focal point is on geographic info technology as an enabler of smarter towns and groups, hence we predict contributions that support visualize the function and contribution of GI technology of their development.

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Additional info for AGILE 2015: Geographic Information Science as an Enabler of Smarter Cities and Communities

Sample text

It assumes a hexagonal segmentation of space, where every central place is surrounded by six lower-order settlements in its range, to which it caters its goods and services. In reality, this ideal hexagonal model is often skewed based on varying population densities, locations of natural features and resources, and other factors. In this paper, we propose an approach that extracts the structure around a central place and its range from the link structure on the Web. Using a corpus of georeferenced documents from the English language edition of Wikipedia, we combine weighted links between places and semantic annotations to compute the convex hull of a central place, marking its range.

Therefore, place types (represented by tags) are employed as a means of computing potential activities. This work aims at extending an ongoing effort to find generalization techniques of urban areas that transcend common administrative partitions. The contributions of this paper are twofold: • An implementation of a semantic region growing algorithm, that can be used to find Urban Settings from point data with place-type information (POI’s); • A discussion and preliminary evaluation of using the approach to search for similar areas in other cities.

Nonetheless, using this combination of geographic area and Wikipedia articles in the main language spoken in this area should avoid the introduction of inconsistencies that arise from crossing language barriers. We hence defer the investigation of potential differences across geographic regions and language barriers to future research. Finally, this dataset is still tractable enough in terms of overall size in order to explore the feasibility of the general idea of this paper. Since Wikipedia itself does not support queries by location through its API,4 we used DBpedia instead.

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