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Titlebook: Bridging the Geographic Information Sciences; International AGILE‘ Jér?me Gensel,Didier Josselin,Danny Vandenbroucke Book 2012 Springer-Ver

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樓主: estrange
31#
發(fā)表于 2025-3-26 21:04:46 | 只看該作者
32#
發(fā)表于 2025-3-27 05:07:24 | 只看該作者
Jér?me Gensel,Didier Josselin,Danny VandenbrouckeRefers to the yearly international AGILE conference High quality papers Reviewed by international experts.Includes supplementary material:
33#
發(fā)表于 2025-3-27 08:17:17 | 只看該作者
Lecture Notes in Geoinformation and Cartographyhttp://image.papertrans.cn/b/image/190783.jpg
34#
發(fā)表于 2025-3-27 09:41:42 | 只看該作者
Book 2012ent of Uncertainty; Spatio-temporal Data Quality and Metadata; Mobility of Persons, Objects and Systems, Transports and Flows; Spatial Analysis, Geostatistics, and Geo Information Retrieval; Modelling and Spatial Analysis of Urban Dynamics, Urban GIS; GIS and Spatial Analysis for Global Change Model
35#
發(fā)表于 2025-3-27 14:48:24 | 只看該作者
36#
發(fā)表于 2025-3-27 20:20:04 | 只看該作者
Automated Traffic Route Identification Through the Shared Nearest Neighbour Algorithmrs, with a position and a direction, are analysed in order to identify clusters of vectors that are moving towards the same direction. These clusters represent traffic routes and the preliminary results have shown to be promisingfor the automated identification of traffic routes with different shape
37#
發(fā)表于 2025-3-28 00:39:25 | 只看該作者
Comparing Support Vector Regression and Statistical Linear Regression for Predicting Poverty Inciden, both models showed dependency on spatial effects. Hence, integration of spatial information might increase the success of future models and turn data mining approaches into valuable tools for poverty mapping on small scales.
38#
發(fā)表于 2025-3-28 05:37:40 | 只看該作者
39#
發(fā)表于 2025-3-28 08:24:21 | 只看該作者
40#
發(fā)表于 2025-3-28 12:06:52 | 只看該作者
Managerial Issues in Productivity Analysis, both models showed dependency on spatial effects. Hence, integration of spatial information might increase the success of future models and turn data mining approaches into valuable tools for poverty mapping on small scales.
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