ISPRS-IJGI Special Issue: Modeling, Prediction and Mapping with VGI
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 to a new “data-intensive” or “data-driven” paradigm.
VGI has a great potential for revealing the spatiotemporal dynamics of geographic phenomena, be they natural or social. This potential can be realized 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, and human mobility, to name only a few.
We invite research articles and reviews fitting the general theme of “Modeling, Prediction, and Mapping with VGI”, to be published in this Special Issue. Submissions to the SI are open to all scholars. Participants to the 2020 AAG session “Modeling, Prediction and Mapping with VGI” are especially encouranged to submit full papers extended from their presented abstracts.
Assis. Prof. Guiming Zhang
Prof. A-Xing Zhu
For more information, please visit https://www.mdpi.com/journal/ijgi/special_issues/volunteered_geographic_information.