Buch, Englisch, 180 Seiten, Format (B × H): 174 mm x 246 mm, Gewicht: 576 g
Challenges in the Era of Geospatial Big Data
Buch, Englisch, 180 Seiten, Format (B × H): 174 mm x 246 mm, Gewicht: 576 g
ISBN: 978-0-367-64299-0
Verlag: Taylor & Francis Ltd
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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Introduction
Yongwan Chun, Mei-Po Kwan and Daniel A. Griffith
1. Uncertainty in the effects of the modifiable areal unit problem under different levels of spatial autocorrelation: a simulation study
Sang-Il Lee, Monghyeon Lee, Yongwan Chun and Daniel A. Griffith
2. Spatial autocorrelation and data uncertainty in the American Community Survey: a critique
Paul H. Jung, Jean-Claude Thill and Michele Issel
3. Uncertainties in the geographic context of health behaviors: a study of substance users’ exposure to psychosocial stress using GPS data
Mei-Po Kwan, Jue Wang, Matthew Tyburski, David H. Epstein, William J. Kowalczyk and Kenzie L. Preston
4. Exploring the uncertainty of activity zone detection using digital footprints with multi-scaled DBSCAN
Xinyi Liu, Qunying Huang and Song Gao
5. Same space – different perspectives: comparative analysis of geographic context through sketch maps and spatial video geonarratives
Andrew Curtis, Jacqueline W. Curtis, Jayakrishnan Ajayakumar, Eric Jefferis and Susanne Mitchell
6. Travel impedance agreement among online road network data providers
Eric M. Delmelle, Derek M. Marsh, C. Dony and Paul L. Delamater
7. A network approach to the production of geographic context using exponential random graph models
Steven M. Radil
Concluding Comments
Yongwan Chun, Mei-Po Kwan and Daniel A. Griffith