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Geographic data science

: Andrienko, Gennady; Andrienko, Natalia; Weibel, Robert


IEEE Computer Graphics and Applications 37 (2017), Nr.5, S.15-17
ISSN: 0272-1716
ISSN: 1558-1756
Fraunhofer IAIS ()

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.