Empowered by geospatial technologies, such as location-aware 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, crowdsourcing, and social media, amongst 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 from traditional approaches toward a new “data-intensive” or “data-driven” paradigm.
VGI has a great potential for revealing spatial and temporal dynamics of the physical and social geographic phenomena under observation. This potential is realized by using VGI observations for 1) mapping the spatial and temporal distributions of geographic phenomena, 2) modeling the underlying processes shaping the spatial and temporal patterns, and 3) model-based prediction of geographic phenomena in space and time. New theoretical perspectives and analytical methods are being developed to address challenges facing VGI (e.g., data quality issues, biases) and to facilitate VGI applications along these lines. Some examples of such VGI applications are geographic feature mapping, biodiversity mapping, land use and land cover mapping, disaster mapping, species distribution modeling and prediction, traffic congestion modeling, human mobility modeling, etc. And we are still witnessing the continuing growth and expansion of VGI applications.
We invite paper abstracts broadly fitting in the general theme of “Mapping, Modeling and Prediction with VGI” to be presented in this session. We are also organizing a Special Issue under the same title in ISPRS - International Journal of Geo-Information (details can be found at https://www.mdpi.com/journal/ijgi/special_issues/VGI_IJGI). Submissions to the SI are open to all interested scholars, and participants of this session are especially encouraged to submit research articles and/or reviews extended from their abstracts to the SI.
|Presenter||Guiming Zhang*, University of Denver, A-Xing Zhu, University of Wisconsin-Madison, Sample size and spatial configuration of VGI affect effectiveness of spatial bias mitigation||15||11:10 AM|
|Presenter||Xinyue Ye*, Texas A&M University, A Framework of Analyzing Asymmetric City Connectivity using Big Social Data||15||11:25 AM|
|Presenter||Daniela Ferreira*, Centre of Geographical Studies, Institute of Geography and Spatial Planning, Universidade de Lisboa, Mário Vale, Centre of Geographical Studies, Institute of Geography and Spatial Planning, Universidade de Lisboa, VGI platforms and urban digital divides in the context of platform economy||15||11:40 AM|
|Presenter||Carolynne Hultquist*, Pennsylvania State University and Columbia University, Uncertainty Representation: a Bayesian approach to crowdsourced hazard data||15||11:55 AM|
|Discussant||Michael Goodchild University of California||15||12:10 PM|
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