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Titlebook: Geographic Information Science; 8th International Co Matt Duckham,Edzer Pebesma,Andrew U. Frank Conference proceedings 2014 Springer Intern

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11#
發(fā)表于 2025-3-23 12:53:10 | 只看該作者
Fields as a Generic Data Type for Big Spatial Dataway, which leads to their representation as fields. We develop a generic data type for fields that can represent different types of spatiotemporal data, such as trajectories, time series, remote sensing and, climate data. To assess its power of generality, we show how to represent existing algebras
12#
發(fā)表于 2025-3-23 15:34:56 | 只看該作者
13#
發(fā)表于 2025-3-23 20:17:00 | 只看該作者
14#
發(fā)表于 2025-3-23 23:34:08 | 只看該作者
An Indoor Navigation Ontology for Production Assets in a Production Environmentin an indoor environment, to support autonomous navigation in the indoor space. Due to the fact that production environments have a different layout than ordinary indoor spaces, like buildings for office or residential use, an ontology focusing on indoor navigation looks different than ontologies in
15#
發(fā)表于 2025-3-24 02:44:44 | 只看該作者
16#
發(fā)表于 2025-3-24 09:11:18 | 只看該作者
Understanding Information Requirements in “Text Only” Pedestrian Wayfinding Systemsve load associated with map reading, and the desire to make discrete use of mobile technologies, there is increasing interest in systems that deliver wayfinding information solely by means of georeferenced spoken utterances that essentially leave the user “technology free.” As a critical prior step,
17#
發(fā)表于 2025-3-24 14:45:35 | 只看該作者
Automatic Itinerary Reconstruction from Textse first extracts geographical information with natural language processing. Its outputs are annotations of so called expanded entities and expressions of displacement or perception from hiking descriptions. In order to reconstruct a plausible footprint of an itinerary described in the text, the seco
18#
發(fā)表于 2025-3-24 18:14:48 | 只看該作者
19#
發(fā)表于 2025-3-24 19:22:05 | 只看該作者
Significant Route Discovery: A Summary of Results shortest paths in the spatial network where the concentration of activities is unusually high (i.e., statistically significant). SRD is important for societal applications in transportation safety, public safety, or public health such as finding routes with significant concentrations of accidents,
20#
發(fā)表于 2025-3-25 02:47:43 | 只看該作者
https://doi.org/10.1007/978-3-319-11593-1location based services; maps; ontology; spatial databases; wayfinding and navigation; algorithm analysis
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