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Interdisciplinary approaches to spatial optimization issues / Sami Faiz and Soumaya Elhosni, editors.

EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Author/Creator:
Faiz, Sami, author.
Contributor:
Faiz, Sami, editor.
Elhosni, Soumaya, 1984- editor.
Language:
English
Subjects (All):
Geographic information systems.
Spatial data mining.
Physical Description:
21 PDFs (271 pages)
Place of Publication:
Hershey, Pennsylvania : IGI Global, Engineering Science Reference, [2021]
System Details:
Mode of access: World Wide Web.
Summary:
"This book examines interdisciplinary approaches to GIS and spatial optimization in private and public organizations"-- Provided by publisher.
Contents:
Chapter 1. A GIS multi-criteria analysis and remote sensing for flood risk management of Bou Salem City, Tunisia
Chapter 2. An integrated heuristic approach for the long-distance heterogeneous vehicle routing problem
Chapter 3. GIS-based evolutionary approaches using multiple-criteria decision analysis for spatial issues
Chapter 4. High-level languages for geospatial analysis of big data: strengths and weaknesses
Chapter 5. Improving geospatial big data analytics approaches: a focus on high-velocity data streams
Chapter 6. Investigating the pixel quality influence on forecasting vegetation change dynamics: application case of Tunisian olive sites
Chapter 7. Irrigation monitoring using geospatial techniques in plastic greenhouse landscapes: case study
Chtouka Plain, Morocco
Chapter 8. Machine learning for winter crop mapping using high spatiotemporal time series satellite imagery: case study
Jendouba, Tunisia
Chapter 9. Natural language for querying geographic databases
Chapter 10. On the use of deep learning for geodata enrichments
Chapter 11. Smart GIS-based water information system
Chapter 12. Towards an embedding-based approach for the geolocation of texts and users on social networks.
Notes:
Description based on print version record.
Includes bibliographical references and index.
ISBN:
9781799819561
OCLC:
1252423776

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