Handbook Geospatial Artificial Intelligence (39 results)

- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
- First Edition
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Condition: New. 2026. 1st Edition. paperback. . . . . .

- Softcover
- First Edition
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Paperback. Condition: New. 1st. This comprehensive handbook covers Geospatial Artificial Intelligence (GeoAI), which is the integration of geospatial studies and AI machine (deep) learning and knowledge graph technologies. It explains key fundamental concepts, methods, models, and technologies of GeoAI, and discusses the recent…advances, research tools, and applications that range from environmental observation and social sensing to natural disaster responses. As the first single volume on this fast-emerging domain, Handbook of Geospatial Artificial Intelligence is an excellent resource for educators, students, researchers, and practitioners utilizing GeoAI in fields such as information science, environment and natural resources, geosciences, and geography.FeaturesProvides systematic introductions and discussions of GeoAI theory, methods, technologies, applications, and future perspectivesCovers a wide range of GeoAI applications and case studies in practiceOffers supplementary materials such as data, programming code, tools, and case studiesDiscusses the recent developments of GeoAI methods and toolsIncludes contributions written by top experts in cutting-edge GeoAI topicsThis book is intended for upper-level undergraduate and graduate students from different disciplines and those taking GIS courses in geography or computer sciences as well as software engineers, geospatial industry engineers, GIS professionals in non-governmental organizations, and federal/state agencies who use GIS and want to learn more about GeoAI advances and applications.

- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
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Condition: New. 2026. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

Handbook Of Geospatial Artificial Intelligence
Hu, Yingjie (Editor)/ Gao, Song (Editor)/ Li, Wenwen (Editor)
- Softcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Paperback. Condition: Brand New. 468 pages. 9.18x6.12x9.21 inches. In Stock.

- Softcover
Seller: moluna, Greven, , Germanymoluna
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Condition: New. Song Gao is an Assistant Professor and the Director of Geospatial Data Science Lab at the University of Wisconsin-Madison. He holds a Ph.D. degree in Geography from the University of California-Santa Barbara. His research interests are on Spatial .

- Softcover
- First Edition
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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Paperback. Condition: New. 1st. This comprehensive handbook covers Geospatial Artificial Intelligence (GeoAI), which is the integration of geospatial studies and AI machine (deep) learning and knowledge graph technologies. It explains key fundamental concepts, methods, models, and technologies of GeoAI, and discusses the recent…advances, research tools, and applications that range from environmental observation and social sensing to natural disaster responses. As the first single volume on this fast-emerging domain, Handbook of Geospatial Artificial Intelligence is an excellent resource for educators, students, researchers, and practitioners utilizing GeoAI in fields such as information science, environment and natural resources, geosciences, and geography.FeaturesProvides systematic introductions and discussions of GeoAI theory, methods, technologies, applications, and future perspectivesCovers a wide range of GeoAI applications and case studies in practiceOffers supplementary materials such as data, programming code, tools, and case studiesDiscusses the recent developments of GeoAI methods and toolsIncludes contributions written by top experts in cutting-edge GeoAI topicsThis book is intended for upper-level undergraduate and graduate students from different disciplines and those taking GIS courses in geography or computer sciences as well as software engineers, geospatial industry engineers, GIS professionals in non-governmental organizations, and federal/state agencies who use GIS and want to learn more about GeoAI advances and applications.

- Hardcover
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- Softcover
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Taschenbuch. Condition: Neu. Handbook of Geospatial Artificial Intelligence | Song Gao (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | CRC Press | EAN 9781032311678 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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- Softcover
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Taschenbuch. Condition: Neu. Neuware -Geospatial Artificial Intelligence (GeoAI) is the integration of geospatial studies and AI using machine learning and deep learning technologies. This comprehensive handbook explains and discusses key fundamental concepts, methods, models, technologies of GeoAI, recent advances, research too…ls, and applications in different fields. 470 pp. Englisch.

- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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- Hardcover
- International Edition
Seller: UK BOOKS STORE, London, LONDO, United KingdomUK BOOKS STORE
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Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if th…e Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Handbook of Geospatial Artificial Intelligence
Gao, Song (Editor)/ Hu, Yingjie (Editor)/ Li, Wenwen (Editor)
- Hardcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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£ 279.08
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Hardcover. Condition: Brand New. 448 pages. 9.19x6.13x1.22 inches. In Stock.

- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. This comprehensive handbook covers Geospatial Artificial Intelligence (GeoAI), which is the integration of geospatial studies and AI machine (deep) learning and knowledge graph technologies. It explains key fundamental concepts, methods, models, and technologies of GeoAI, and discusses the r…ecent advances, research tools, and applications that range from environmental observation and social sensing to natural disaster responses. As the first single volume on this fast-emerging domain, Handbook of Geospatial Artificial Intelligence is an excellent resource for educators, students, researchers, and practitioners utilizing GeoAI in fields such as information science, environment and natural resources, geosciences, and geography.FeaturesProvides systematic introductions and discussions of GeoAI theory, methods, technologies, applications, and future perspectivesCovers a wide range of GeoAI applications and case studies in practiceOffers supplementary materials such as data, programming code, tools, and case studiesDiscusses the recent developments of GeoAI methods and toolsIncludes contributions written by top experts in cutting-edge GeoAI topicsThis book is intended for upper-level undergraduate and graduate students from different disciplines and those taking GIS courses in geography or computer sciences as well as software engineers, geospatial industry engineers, GIS professionals in non-governmental organizations, and federal/state agencies who use GIS and want to learn more about GeoAI advances and applications. Geospatial Artificial Intelligence (GeoAI) is the integration of geospatial studies and AI using machine learning and deep learning technologies. This comprehensive handbook explains and discusses key fundamental concepts, methods, models, technologies of GeoAI, recent advances, research tools, and applications in different fields. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.