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Titlebook: Web and Wireless Geographical Information Systems; 16th International S Miguel R. Luaces,Farid Karimipour Conference proceedings 2018 Sprin

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書目名稱Web and Wireless Geographical Information Systems
副標(biāo)題16th International S
編輯Miguel R. Luaces,Farid Karimipour
視頻videohttp://file.papertrans.cn/1022/1021709/1021709.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Web and Wireless Geographical Information Systems; 16th International S Miguel R. Luaces,Farid Karimipour Conference proceedings 2018 Sprin
描述This book constitutes the refereed proceedings of the 16th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2018, held in A Coru?a, Spain, in May 2018.?.The 15 full papers included in the volume were carefully reviewed and selected from 20 submissions. They deal with theoretical, technical, and practical issues in the field of wireless and Internet technologies suited for the dissemination, usage, and processing of geo-referenced data.?
出版日期Conference proceedings 2018
關(guān)鍵詞data mining; information systems; internet; ontologies; semantics; sensors; wireless networks; wireless tel
版次1
doihttps://doi.org/10.1007/978-3-319-90053-7
isbn_softcover978-3-319-90052-0
isbn_ebook978-3-319-90053-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Application of the KDD Process for the Visualization of Integrated Geo-Referenced Textual Data fromd on the phases of the Knowledge Discovery in Databases (KDD). Achieving two main results (1) minimize the problems that arise in the visual phase, such as data occlusion and (2) provide a more detailed understanding between the textual relationships of the data when plotted in a geo-spatial map.
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Using the Internet of Things to Monitor Human and Animal Uses of Industrial Linear Features,e impact of human footprint and monitor the habit of the wild animal. So we implemented four types of trail counter which is a low-cost, open-source measurement device that counts pedestrian, bikes, all-terrain vehicles (ATVs), cars, and animals on trails, paths, and sidewalks.
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