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 those papers battle through a rigorous evaluation procedure and file unique and unpublished primary clinical study.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.
Read Online or Download AGILE 2015: Geographic Information Science as an Enabler of Smarter Cities and Communities PDF
Similar geography books
Those essays at the mind jump from the philosophical to the comical, from the medical conception to mundane occasions of lifestyle. The Throwing Madonna presents a window in which the typical individual can peer into the elusive international of neurobiology and locate larger figuring out of the human race.
A entire description of latest England, its points of interest and actions, eating places and locations to stick. first-class assurance.
Hearken to a loose podcast on Thailand and Cambodia! event a spot the way in which the locals do. benefit from the top it has to provide. Frommer's. the easiest journeys begin right here. complete post-tsunami replace, plus recommendation at the top shores, temples, cities, and hotels. Outspoken critiques on what is worthy some time and what is no longer.
You will by no means fall into vacationer traps should you commute with Frommer's. it really is like having a chum express you round, taking you to the locations locals like most sensible. Our specialist authors have already long past far and wide you may pass — they have performed the legwork for you, and they are no longer afraid to inform it love it is, saving you money and time.
- National Geographic (March 2015)
- Temperate Forests (Biomes of the Earth)
- Slope-Channel Coupling as a Factor in the Evolution of Mountains: The Western Carpathians and Sudetes
- IPCC Expert Meeting on Detection and Attribution Related to Anthropogenic Climate Change
- Institutions and Systems in the Geography of Innovation
Additional info for AGILE 2015: Geographic Information Science as an Enabler of Smarter Cities and Communities
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.