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
Uncertainty and context pose fundamental challenges in GIScience and geographic research. Geospatial data are imbued with errors (e.g., measurement and sl!
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