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Call for Papers — AAG Featured Theme

Uncertainty and Context
in Geography and GIScience:
Advances in Theory, Methods, and Practice

Latina Female Kernal Activity Space by Peterson, L. Krivo, M.-P. Kwan, C. Browning, K. Calder, T. HawthorneUncertainty and context pose fundamental challenges in geographic research and GIScience. Geospatial data are imbued with error (e.g., measurement and sampling error), and understanding of the effects of contextual influences on human behavior and experience are often obfuscated by various types of uncertainty (e.g., contextual uncertainties, algorithmic uncertainties, and uncertainty arising from different spatial scales and zonal schemes). Identifying the “true causally relevant” spatial and temporal contexts that influence people’s behavior and experience is thus also challenging, since people move around in their daily lives and over their life courses and experience the influences of many different contexts. To generate reliable geographic knowledge, these uncertainties and contextual issues need to be addressed.

Call for Papers

This theme within the 2017 AAG Annual Meeting in Boston will explore research frontiers and advances in theory, methods, and practice that address the challenges of uncertainty and context in geography and GIScience. We welcome papers from all disciplines, subfields and perspectives (e.g., geography, public health, sociology, transportation, urban studies, etc.).

Topics may include but are not limited to:

  • Uncertainty and context: advances in theory and methods
  • Human mobility and contextual uncertainties
  • Uncertainty and error assessment
  • Social networks as individual and social context
  • Error propagation and modeling
  • Quality of geospatial data
  • Big data, algorithmic uncertainties, and algorithmic geographies
  • The uncertain geographic context problem (UGCoP)
  • The modifiable areal unit problem (MAUP)
  • Advances in the conceptualization and assessment of the neighborhood effect
  • Improving assessments of exposures to physical and social environments and health
  • Exposure monitoring utilizing real-time interactive GPS/GIS methods
  • Relational understanding of context and uncertainty
  • Cumulative contextual influences over the life course
  • Uncertainty in spatial pattern detection
  • Incorporating uncertainty in spatial modeling

To participate in this theme, please submit your abstract or organized session at When you receive confirmation of a successful submission, please then forward this confirmation to: GeoContext [at] aag [dot] org. The deadline has been extended to November 17, 2016.

For more information, please visit, or contact members of the theme’s organizing committee.


Scientific Committee


  • Mei-Po Kwan (University of Illinois at Urbana-Champaign)
  • Daniel Griffith (University of Texas at Dallas)
  • Tim Schwanen (University of Oxford)
  • Michael Goodchild (University of California, Santa Barbara)


Committee members:

  • Luc Anselin (University of Chicago)
  • David Berrigan (National Cancer Institute, NIH)
  • Ling Bian (University of Buffalo, UNY)
  • Xiang Chen (Arkansas Tech University)
  • Yongwan Chun (University of Texas at Dallas)
  • Eric Delmelle (University of North Carolina at Charlotte)
  • Martin Dijst (Utrecht University)
  • Michael Emch (University of North Carolina at Chapel Hill)
  • Stewart Fotheringham (Arizona StateUniversity)
  • Daniel Goldberg (Texas A&M University)
  • Peng Gong (Tsinghua University)
  • Sue Grady (Michigan State University)
  • Michael Jerrett (University of California, Los Angeles)
  • Poh Chin Lai (University of Hong Kong)
  • Nina Lam (Louisiana State University)
  • David Lopez-Carr (University of California, Santa Barbara)
  • Jing Ma (Beijing Normal University)
  • Sara McLafferty (University of Illinois at Urbana-Champaign)
  • Jeremy Mennis (Temple University)
  • Jamie Pearce (University of Edinburgh)
  • Douglas Richardson (American Association of Geographers)
  • Clive Sabel (Aarhus University)
  • John Shi (Hong Kong Polytechnic University)
  • Xun Shi (Dartmouth University)
  • Kathleen Stewart (University of Maryland)
  • Zaria Tatalovich (National Cancer Institute, NIH)
  • Yonette Thomas (American Association of Geographers)
  • Paul Torrens (New York University)
  • Shaowen Wang (University of Illinois at Urbana-Champaign)
  • Michael Widener (University of Toronto  – St. George)
  • David Wong (George Mason University)
  • Chaowei Yang (George Mason University)
  • Eun-Hye Enki Yoo (University at Buffalo, SUNY)
  • Li Zhu (National Cancer Institute, NIH)