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Yongwan (Hrsg.) Chun

Uncertainty and Context in GIScience and Geography

Challenges in the Era of Geospatial Big Data

Ebook (EPUB Format)

Uncertainty and context pose fundamental challenges in GIScience and geographic research. Geospatial data are imbued with errors (e.g., measurement and sampling) and various types of uncertainty that often obfuscate any understanding of the effects of contextual or environmental influences on human behaviors and experiences. These errors or uncertainties include those attributable to geospatial data measurement, model specifications, delineations of geographic context in space and time, and the use of different spatiotemporal scales and zonal schemes when analyzing the effects of environmental influences on human behaviors or experiences. In… Mehr

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Produktdetails


Weitere Autoren: Kwan, Mei-Po (Hrsg.) / Griffith, Daniel A. (Hrsg.)
  • ISBN: 978-1-00-034693-0
  • EAN: 9781000346930
  • Produktnummer: 35451134
  • Verlag: Taylor & Francis Ltd.
  • Sprache: Englisch
  • Erscheinungsjahr: 2021
  • Seitenangabe: 180 S.
  • Plattform: EPUB

Über den Autor


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.

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