Uncertainty and Context in Giscience and Geography: Challenges in the Era of Geospatial Big Data - Couverture rigide

Couverture rigide

ISBN 10 : 0367642999 ISBN 13 : 9780367642990

Editeur : Routledge, 2021

Synopsis

This book illustrates how cutting-edge research explores recent advances in this area, and will serve as a useful point of departure for GIScientists to conceive new approaches and solutions for addressing these challenges in future research.

A propos du livre

À propos de l'auteur

Yongwan Chun is Associate Professor of Geospatial Information Sciences (GIS) at the University of Texas at Dallas, USA. His research interests lie in GIS and spatial statistical approaches to solving geographical problems, including geographic flow modeling, space- time modeling, and uncertainty.

Mei- Po Kwan is Choh- Ming Li Professor of Geography and Resource Management and Director of the Institute of Space and Earth Information Science at the Chinese University of Hong Kong, China. Her research interests include environmental health, human mobility, sustainable cities, urban, transport and social issues in cities, and GIScience.

Daniel A. Griffith is Ashbel Smith Professor of Geospatial Information Sciences at the University of Texas at Dallas, USA, and has authored numerous books and academic articles, garnering him many awards. He pursues research at the interface between geography and mathematics, especially statistics. His current research emphasizes visualization, space- time analysis, and public health.

Détails de l'édition

• Éditeur: Routledge
• Date d'édition: 2021
• Langue: anglais
• ISBN 10: 0367642999
• ISBN 13: 9780367642990
• Reliure: Relié
• Nombre de pages: 170
• Éditeur: Chun Yongwan, Kwan Mei-Po, Griffith Daniel A.
• Coordonnées du fabricant: non disponible
• Personne responsable: GPSR Kontakt; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne