Custom cover image
Custom cover image

Handbook of Geospatial Approaches to Sustainable Cities

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Imaging SciencePublisher: Boca Raton : Taylor & Francis : CRC Press [Imprint], 2024Description: 1 Online-Ressource (1 electronic resource 1 p.)ISBN:
  • 9781003244561
  • 9781032154817
  • 9781032155340
Subject(s): Online resources: Summary: This comprehensive handbook presents the current state of knowledge on geospatial technologies, techniques, and methods that are imperative for providing solutions to sustainable cities. It addresses the role of geospatial big data and AI techniques and how they are applied when analyzing the sustainability of urban development, land use, urban planning, and resource management, as well as monitoring the impact urbanization has on the environment and the ecosystem. Taking an interdisciplinary approach to sustainable cities, and with contributions from renowned experts around the world, this holistic handbook is a toolbox for geospatial, urban, and sustainability professionals, the artificial intelligence community, and those who work in related fields. Features: Explores cutting-edge geospatial and AI techniques in support of efficient, resilient, digital, and smart cities Bridges urban science and sustainability science via geospatial methods Contributes to the efforts of GEO by addressing and exemplifying pertinent societal benefit areas and engagement priorities Includes 16 case studies with a broad geographic scope that integrate societal needs with technological advances Draws expertise in geospatial technology, big data, and artificial intelligence from leading experts in the world This book is intended for researchers and scientists interested in learning techniques in GeoAI, including the technologies for collecting, analyzing, managing, processing, and visualizing geospatial datasets. Chapters 3, 6, 7, 8, and 15 of this book are freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC BY-NC-ND) 4.0 licensePPN: PPN: 1983965383Package identifier: Produktsigel: ZDB-94-OAB
No physical items for this record

Open Access. Unrestricted online access star

Open licence

eng

KIT – The University in the Helmholtz Association                         Home | Legals | Privacy policy | KIT