Empowered by the ubiquitous geospatial technologies such as GPS-enabled smart phones, many ordinary citizens are now acting as human sensors and voluntarily contributing geo-referenced ground observations regarding a broad array of geographic phenomena. Such geospatial data contributed by citizen volunteers are collectively referred to as volunteered geographic information (VGI), which broadly encompasses geographic information created through public participatory geographic information systems, citizen science, crowd-sourcing, and social media, among other mechanisms.
VGI has been revolutionizing the way geographic data, information, and knowledge are generated and disseminated. Moreover, VGI is an important source of geospatial big data that could potentially shift geographical research to a new “data-intensive” or “data-driven” paradigm.
VGI has a great potential for revealing the spatiotemporal dynamics of geographic phenomena, be it natural or social. This potential can be realized by using VGI observations for the modeling, prediction and mapping of geographic phenomena. Examples are species distribution, soil, land use and land cover, disaster, traffic congestion, human mobility, just to name a few.
We invite paper abstracts that are broadly related to “Modeling, prediction and mapping with VGI” to join this session. Participants from all backgrounds, career stages, and sub-disciplines are encouraged to participate and attend.
If you are interested in participating, please send a paper abstract aligning with this CFP, along with your PIN, to Dr. Guiming Zhang (firstname.lastname@example.org) by November 20th, 2019.
Session discussant: Prof. Dr. Michael F. Goodchild, University of California, Santa Barbara.
|Presenter||Piotr Jankowski*, San Diego State University, Does VGI Matter in Planning Decisions?||15||9:35 AM|
|Presenter||Guiming Zhang*, University of Denver, Sophie-Min Thomson, University of Denver, Integrating VGI and authoritative data for wildlife habitat mapping||15||9:50 AM|
|Presenter||Amir Masoud Forati*, University of Wisconsin - Milwaukee, Rina Ghose, University of Wisconsin - Milwaukee , Volunteered Geographic Information User Participation Pattern and Quality Assessment (case study: Open Street Map)||15||10:05 AM|
|Presenter||Daniel LeVine*, University of Texas - Austin, Spatial ecological analyses of opportunistic species observations data to investigate citizen science participation patterns and limitations||15||10:20 AM|
|Discussant||Michael Goodchild University of California||15||10:35 AM|
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