AI in Cartography
A New Era of Making and Using Maps
- 1st Edition - March 1, 2027
- Latest edition
- Editors: Samantha T. Arundel, Raimund Schnürer
- Language: English
AI in Cartography: A New Era of Making and Using Maps offers an in-depth exploration of how artificial intelligence is transforming the field of cartography. The book begins by est… Read more
Description
Description
Key features
Key features
- Reviewing definitions, theoretical foundations, problems, and challenges to offer an extensive view of the state of the art of AI in Cartography
- Detailing best practices, practical examples, and applications to provide a sense of what AI is currently capable of and which network or technique to apply for which task
- Examining future implications, potential innovations, and research gaps to motivate readers to tackle social, economic, and environmental problems
Readership
Readership
Table of contents
Table of contents
1. Introduction to AI in Cartography
2. Core AI Technologies for Cartography
3. Data Foundations for AI in Cartography
4. Implementation of Cartographic AI Solutions
Section II: Applications
5. Map Recognition and Analysis by AI
6. AI-based Digitization of Historical Maps
7. Automated Map Generalization
8. Generative AI and Cartographic Representation
9. AI-Enhanced Usability of Cartographic Products
Section III: Challenges
10. Cartographic AI Knowledge Base for Education
11. Bias, Uncertainty, and Explainability in AI Cartography
12. Ethics and Governance of AI in Mapping
Section IV: Innovations
13. AI-Driven Topographic and Thematic Mapping
14. The Role of AI in Smart Cities and Digital Twins
15. Towards Resilience in a Sustainable Environment
16. Future Directions in AI and Cartography Glossary
Product details
Product details
- Edition: 1
- Latest edition
- Published: March 1, 2027
- Language: English
About the editors
About the editors
SA
Samantha T. Arundel
RS
Raimund Schnürer
Dr. Raimund Schnürer is Geoinformation Officer at Dinser Expertise GmbH. He is affiliated with the Digital Humanities Laboratory, the Urban Sociology Laboratory and the Time Machine Organization. Additionally, he is vice-chair of the ICA commission on GeoAI. His research, amongst others, involves digitizing historical maps and documents by computer vision techniques. He conducted his dissertation ‘Storytelling with Animated Interactive Objects in Real-time 3D Maps’ at the Institute of Cartography and Geoinformation, Swiss Federal Institute of Technology in Zurich (ETHZ). For this doctoral project, he identified pictorial figures on maps and reconstructed them in 3D using deep learning methods. Before he worked as a research assistant and developer for the Atlas of Switzerland. He obtained a Bachelor’s and Master’s degree in Geoinformatics at the University of Münster, Germany. His research interests are machine learning, 3D cartography, web application development, data management and human-computer-interactions.