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Uncertainty and Context in GIScience and Geography - Challenges in the Era of Geospatial Big Data (Hardcover)
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Uncertainty and Context in GIScience and Geography - Challenges in the Era of Geospatial Big Data (Hardcover)
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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
addition, emerging sources of geospatial big data - including
smartphone data, data collected by GPS, and various types of
wearable sensors (e.g., accelerometers and air pollutant monitors),
volunteered geographic information, and/ or location- based social
media data (i.e., crowd- sourced geographic information) -
inevitably contain errors, and their quality cannot be fully
controlled during their collection or production. Uncertainty and
Context in GIScience and Geography: Challenges in the Era of
Geospatial Big Data 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. The seven core
chapters in this book highlight many challenges and opportunities
in confronting various issues of uncertainty and context in
GIScience and geography, tackling different topics and approaches.
The chapters in this book were originally published as a special
issue of the International Journal of Geographical Information
Science.
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