Handbook of Geospatial Artificial Intelligence
暫譯: 地理空間人工智慧手冊

Gao, Song, Hu, Yingjie, Li, Wenwen

Handbook of Geospatial Artificial Intelligence
  • 出版商: CRC
  • 出版日期: 2026-01-30
  • 售價: $3,480
  • 貴賓價: 9.5 折 $3,306
  • 語言: 英文
  • 頁數: 448
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032311673
  • ISBN-13: 9781032311678
  • 相關分類: Natural Language Processing

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

Features

  • Provides systematic introductions and discussions of GeoAI theory, methods, technologies, applications, and future perspectives
  • Covers a wide range of GeoAI applications and case studies in practice
  • Offers supplementary materials such as data, programming code, tools, and case studies
  • Discusses the recent developments of GeoAI methods and tools
  • Includes contributions written by top experts in cutting-edge GeoAI topics

This 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.

商品描述(中文翻譯)

這本綜合手冊涵蓋了地理空間人工智慧（GeoAI），即地理空間研究與人工智慧機器（深度）學習及知識圖譜技術的整合。它解釋了GeoAI的關鍵基本概念、方法、模型和技術，並討論了從環境觀測和社會感知到自然災害應對的最新進展、研究工具和應用。作為這一快速新興領域的第一本單卷書籍，《地理空間人工智慧手冊》是教育工作者、學生、研究人員和實踐者在信息科學、環境與自然資源、地球科學和地理等領域利用GeoAI的優秀資源。

特點：
- 提供GeoAI理論、方法、技術、應用及未來展望的系統介紹和討論
- 涵蓋廣泛的GeoAI應用和實踐案例研究
- 提供數據、程式碼、工具和案例研究等補充材料
- 討論GeoAI方法和工具的最新發展
- 包含由尖端GeoAI主題的頂尖專家撰寫的貢獻

本書適合來自不同學科的高年級本科生和研究生，以及修習地理或計算機科學的GIS課程的學生，還有使用GIS的軟體工程師、地理空間產業工程師、非政府組織的GIS專業人員以及聯邦/州機構的工作人員，這些人希望了解更多有關GeoAI的進展和應用。

作者簡介

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 Data Science and GeoAI approaches to Human Mobility and Social Sensing. He has authored and co-authored over 50 peer-reviewed articles in prominent journals and conference proceedings. He is the recipient of various research and teaching awards at the university, state, and international levels, including the Waldo Tobler Young Researcher Award in GIScience. He serves as the Associate Editor for Annals of GIS, and editorial board member for Scientific Reports, PLOS One, and Guest Editor for IJGIS, TGIS, and GeoInformatica. He has been a lead organizer for the AAG symposiums on GeoAI and Deep Learning and and for the ACM SIGSPATIAL GeoAI workshops.

Yingjie Hu is an Assistant Professor in the Department of Geography at the University at Buffalo, NY, and at the National Center for Geographic Information and Analysis (NCGIA). He holds a PhD from the Department of Geography at UC Santa Barbara. He is the author of over 50 peer-reviewed articles in top international journals and conferences. He and his work received awards at international, national, and university levels, including Waldo-Tobler Young Researcher Award, GIScience 2018 Best Full Paper Award, and others. His research was also covered by major media such as Reuters and VOA News.

Wenwen Li is a Full Professor in the School of Geographical Sciences and Urban Planning, Arizona State University, where she heads the CyberInfrastructure and Computation Intelligence Lab. Li's work has been applied to several scientific disciplines, including polar science, climatology, public health, hydrology and urban studies. Her research has been supported by various funding agencies, including the National Science Foundation (NSF), United States Geological Survey (USGS), and Open Geospatial Consortium. Li was the chair of the Association of American Geographers' cyber-infrastructure specialty group from 2013-2014; a member of the Spatial Decision Support Consortium at the University of the Redlands (2015-); and a graduate faculty member in the Computer Science program at ASU (2016-). Li is also the 2015 NSF CAREER award winner and 2021 NSF Mid-CAREER award winner.

作者簡介(中文翻譯)

高松是威斯康辛大學麥迪遜分校的助理教授及地理空間數據科學實驗室主任。他擁有加州大學聖巴巴拉分校地理學博士學位。他的研究興趣集中在空間數據科學和地理人工智慧（GeoAI）在人體移動和社會感知方面的應用。他已在知名期刊和會議論文集中發表超過50篇經過同行評審的文章。他獲得了多項大學、州及國際層級的研究和教學獎項，包括地理資訊科學（GIScience）中的沃爾多·托布勒青年研究者獎。他擔任《GIS年鑑》的副編輯，並且是《Scientific Reports》、《PLOS One》的編輯委員會成員，以及《IJGIS》、《TGIS》和《GeoInformatica》的客座編輯。他是美國地理學會（AAG）關於GeoAI和深度學習的研討會及ACM SIGSPATIAL GeoAI工作坊的主要組織者。

胡英杰是紐約州布法羅大學地理系的助理教授，並在國家地理資訊與分析中心（NCGIA）任職。他擁有加州大學聖巴巴拉分校地理學博士學位。他是超過50篇在國際頂尖期刊和會議上發表的經過同行評審的文章的作者。他及其工作獲得了國際、國家和大學層級的獎項，包括沃爾多·托布勒青年研究者獎、GIScience 2018最佳完整論文獎等。他的研究也曾被路透社和美國之音等主要媒體報導。

李文文是亞利桑那州立大學地理科學與城市規劃學院的全職教授，並負責網路基礎設施與計算智慧實驗室。李教授的研究已應用於多個科學領域，包括極地科學、氣候學、公共健康、水文學和城市研究。她的研究得到了多個資助機構的支持，包括美國國家科學基金會（NSF）、美國地質調查局（USGS）和開放地理空間聯盟。李教授曾於2013至2014年擔任美國地理學會網路基礎設施專業小組的主席；自2015年起成為雷德蘭茲大學空間決策支持聯盟的成員；並自2016年起成為亞利桑那州立大學計算機科學項目的研究生教員。李教授也是2015年NSF CAREER獎和2021年NSF中期CAREER獎的獲得者。

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