Next-Gen Web Mapping with AI and Emerging Technologies

Foundations and Applications
1. Auflage 2027
ISBN: 978-1-041-22622-2
Verlag: CRC Press

Buch, Englisch, 480 Seiten, Format (B × H): 156 mm x 234 mm

Cloud-native data formats, graphics hardware in the browser, and artificial intelligence are changing how maps are built and used on the web. This hands-on guide shows how these developments fit together in working applications. The book gives an overview on how web mapping reached its current form and introduces the major rendering frameworks, cloud-native formats, and open standards. It discusses modern techniques such as real-time data, 3D mapping and digital twins. The AI-powered mapping is focused on models, computer vision for satellite and aerial imagery, natural language interfaces, and AI-assisted cartographic design. Privacy, fairness, and regulations are also discussed in the book. Most chapters are built around real places and real data, and every example comes with runnable code.  Features

- Guides web developers, GIS professionals, and data scientists through building modern web maps that combine cloud-native data, live feeds, and artificial intelligence.

- Covers vector tiles and GPU rendering, PMTiles, GeoParquet and DuckDB, STAC and Overture Maps, real-time streaming, 3D Tiles and digital twins, and serverless deployment at the edge.

- Explains geospatial foundation models, computer vision for imagery, natural language and agent-based GIS, and AI-assisted map design, with attention to validation and to their limits.

- Includes 64 worked examples and 12 hands-on capstone exercises with complete companion code; most run without an account or a paid service.

- Discusses location privacy, geographic bias, regulation, and the responsible use of AI in mapping.

This book is written for web developers, GIS professionals, researchers, and data scientists who build or study web maps. It also suits graduate and advanced undergraduate students in GIS, cartography, and geospatial data science courses.

Zielgruppe

Postgraduate, Professional Practice & Development, and Undergraduate Advanced

Autoren/Hrsg.

Zhou, Xiaolu

Fachgebiete

• Geowissenschaften Geologie GIS, Geoinformatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Geowissenschaften Geographie | Raumplanung Geodäsie, Kartographie, GIS, Fernerkundung

Inhaltsverzeichnis

Section I: Foundations. 1. The New Era of Web Mapping. 2. Core Mapping Frameworks. 3. Cloud-Native Geospatial Data Formats. 4. Open Standards and Data Ecosystems. Section II: Modern Techniques. 5. Real-Time and Dynamic Mapping. 6. 3D Web Mapping and Digital Twins. 7. Serverless, Edge Computing, and Geospatial Infrastructure. Section III: AI-Powered Mapping. 8. Geospatial Foundation Models. 9. Computer Vision for Satellite and Aerial Imagery. 10. LLMs, Natural Language Interfaces, and Multimodal GeoAI. 11. GeoAI Agents and the Model Content Protocol (MCP). 12. AI-Driven Cartographic Design and Visualization. Section IV: Responsibility and the Future. 13. Convergence – Ethics, Challenges, and the Future of Intelligent Maps.

Über Autor(innen)

Xiaolu Zhou is an Associate Professor in the Department of Geography at Texas Christian University and co-leads the Human-Centered AI Cluster at the AddRan College of Liberal Arts. Zhou holds a Ph.D. from the University of Illinois at Urbana-Champaign, specializing in Geographic Information Systems, Big Data Analytics, and Urban Informatics. Zhou has received many grants and awards, including the AddRan Distinguished Faculty Lecture Award. Zhou has authored over 50 peer-reviewed publications and co-edited a book published in 2019. Zhou’s research helps cities make data-driven decisions and bridge the gap between technologies and urban challenges.