Issue No. 05 - September/October (2017 vol. 37)
Gennady Andrienko , Fraunhofer Institute IAIS and City, University of London
Natalia Andrienko , Fraunhofer Institute IAIS and City, University of London
Robert Weibel , University of Zurich
Data science methods and approaches address all stages of transition from data to knowledge and action. Visualization of this data is essential for human understanding of the subject under study, analytical reasoning about it, and generating new knowledge. Geographic data science deals with data that incorporates spatial and, often, temporal elements. The articles selected for this special issue represent a mix of theoretical approaches and novel applications of geographic data science.
Special issues and sections, Data science, Geographic information systems, Visual analytics
G. Andrienko, N. Andrienko and R. Weibel, "Geographic Data Science," in IEEE Computer Graphics and Applications, vol. 37, no. 5, pp. 15-17, 2017.