By Fernando Bacao, Maribel Yasmina Santos, Marco Painho
This is a booklet is a set of articles that would be submitted as complete papers to the AGILE annual overseas convention. those papers plow through a rigorous overview strategy and document unique and unpublished basic clinical examine. these released hide major learn within the area of geographic details technology structures. This yr the point of interest is on geographic details technology as an enabler of smarter towns and groups, hence 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
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Alice plans a trip to Vienna and she would like to ﬁnd, in advance, areas of the city that are similar to her idea of Oxford Street. To model these preferences and action possibilities, we deﬁned the following four features, which will later be used to deﬁne a similarity-distance to other identiﬁed shopping areas/settings: 1. 2. 3. 4. , subcategories of shops) n4 A Semantic Region Growing Algorithm: Extraction of Urban Settings 29 We denote by sðSÞ the total number of cells in a given segment/setting S.
3. What in image segmentation jargon is called a segment, is directly comparable to a setting: a set of contiguous cells satisfying the same description D. A setting S C is a subset of the cell partition C and is called complete if it cannot be extended further with adjacent cells. 4. The segmentation of a map M according S to a description D produces a (possibly empty) set S of settings such that S2S S C: A segmentation S ¼ fSg is called complete if it consists of only one setting such that S = C.