Mapping, modeling and prediction with VGI

Type: Virtual Paper
Sponsor Groups: Cyberinfrastructure Specialty Group, Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group
Organizers: Guiming Zhang
Chairs: Guiming Zhang

Call for Submissions

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 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.



Type Details Minutes Start Time
Presenter Guiming Zhang*, University of Denver, Spatial and Temporal Patterns in Volunteer Data Contribution Activities: A Case Study of eBird 15 12:00 AM

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