Web and Wireless Geographical Information Systems (eBook, PDF)

16th International Symposium, W2GIS 2018, A Coruña, Spain, May 21-22, 2018, Proceedings
Redaktion: R. Luaces, Miguel; Karimipour, Farid

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 16th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2018, held in A Coruña, 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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 173
• Erscheinungstermin: 14. Mai 2018
• Englisch
• ISBN-13: 9783319900537
• Artikelnr.: 59886840

Inhaltsangabe

Improving Sensing Coverage of Probe Vehicles with Probabilistic Routing.- Generation of web-based GIS applications through the reuse of software artefacts.- Places Storing and Clustering Large Spatial Datasets Using Big Data Technologies.- An in-depth analysis of CUSUM algorithm for the detection of mean and variability deviation in time series.- Application of the KDD process for the visualization of integrated geo-referenced textual data from the pre-processing phase.- GeoSPRINGS: Towards a Location-Aware Mobile Agent Platform.- Extraction of Usage Patterns for Land-use Types by Pedestrian Trajectory Analysis.- Hierarchical Routing Techniques in Wireless Sensor Networks.- Using the Internet of Things to Monitor Human and Animal Uses of Industrial Linear Features.- Multigranular Spatio-Temporal Exploration: an Application to On-Street Parking Data.- Region-Aware Route Planning.- A Web Interface for Exploiting Spatio-temporal Heterogeneous Data.- Increasing Maritime Situation Awareness via Trajectory Detection, Enrichment and Recognition of Events.- From What & when happen, to why happen in Air Pollution using Open Big Data.- A Web of data platform for Mineral Intelligence Capacity Analysis (MICA).