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Titlebook: Geographic Information Science; 6th International Co Sara Irina Fabrikant,Tumasch Reichenbacher,Christo Conference proceedings 2010 Springe

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樓主: cerebellum
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發(fā)表于 2025-3-25 07:07:33 | 只看該作者
Collaborative Generalisation: Formalisation of Generalisation Knowledge to Orchestrate Different Cass parameters by an adapted translator component. The translators allow interoperable triggers and allow the choice of the proper process to apply on each part of the space. Applications with real processes illustrate the usability of the proposed model.
22#
發(fā)表于 2025-3-25 08:57:41 | 只看該作者
A Visibility and Spatial Constraint-Based Approach for Geopositioning,sibility and constraint-based approach whose objective is to locate an observer from the verbal description of his/her surroundings. The geopositioning process is formally supported by a constraint-satisfaction algorithm. Preliminary experiments are applied to the description of environmental scenes.
23#
發(fā)表于 2025-3-25 14:23:16 | 只看該作者
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發(fā)表于 2025-3-25 19:48:18 | 只看該作者
0302-9743 y successful GIScience conferenceseries (www.giscience.org)has regularlyattractedover250 researchers from all over the world whose common interest lies in advancing the research frontiers of fundamental aspects of the production, dissemination, and use of geographic information. The conference is bi
25#
發(fā)表于 2025-3-25 23:42:28 | 只看該作者
26#
發(fā)表于 2025-3-26 00:16:58 | 只看該作者
27#
發(fā)表于 2025-3-26 06:18:28 | 只看該作者
https://doi.org/10.1007/978-3-642-15300-63d models; GPS; Navigation; autorouting; cognition; data models; geosensor; gis; information retrieval; locat
28#
發(fā)表于 2025-3-26 10:10:23 | 只看該作者
978-3-642-15299-3Springer-Verlag Berlin Heidelberg 2010
29#
發(fā)表于 2025-3-26 12:50:00 | 只看該作者
Geographic Information Science978-3-642-15300-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
30#
發(fā)表于 2025-3-26 20:40:22 | 只看該作者
Die Prognose der Essentiellen Hypertoniediscovery process. In part, it is because database designers do not think about data mining during the conceptual design of a database, therefore data are not prepared for mining. This problem increases for spatio-temporal data generated by mobile devices, which involve both space and time. In this
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