GIS Cartography: A Guide to Effective Map Design (Hardcover) (ISBN-13: 9781032871141)

The new edition of this well-established introductory cartography textbook is updated to respond to the demand for critical engagement with new technologies, the passion for inclusive design, and for preparing students to build competence in fundamental skills. Written in a friendly style, it is enjoyable to read and includes over 200 figures and maps, explaining everything from layout design to dynamic cartography issues. A new chapter discusses the role of artificial intelligence (AI) in cartography, and a significant expansion to 3D cartography has been incorporated into existing chapters. A new chapter on accessibility provides a thorough understanding of universal design. Additional updates include placements and best practices for digital map elements, global labeling techniques including language support, hybrid map styling, multiscale map testing, and information on 4D mapping.

New in the Fourth Edition:

• Exploration of geospatial AI and generative AI in cartography and how they can already make an impact on workflows.
• New material on vision, motor, and cognitive accessibility techniques in map design.
• Expanded discussion on 3D cartography.
• All chapters are updated with new data and important new developments in cartography, including the importance of accessible design to ensure inclusivity for all users.
• Updated study questions and exercises to enhance student engagement and comprehension.
• New discussions of techniques such as aquarium cutaways, integrated north arrows, joy plots, hybrid satellite maps, crafted hachuring, as well as updated information on resolution and file types.

This book is written as a go-to guide for learning the art and science of mapmaking. It is for undergraduate and graduate students taking courses in GIS and cartography and studying fields such as geography, geophysics, environmental engineering, urban planning, and so on. It is also a valuable resource for professionals interested in learning techniques and technologies for creating maps and visualizing geospatial datasets.