TY - GEN
T1 - Leveraging big (Geo) data with (Geo) visual analytics
T2 - 17th International Symposium on Spatial Data Handling, SDH 2016
AU - MacEachren, Alan M.
N1 - Publisher Copyright:
© 2017, Springer Nature Singapore Pte Ltd.
PY - 2017
Y1 - 2017
N2 - A tension exists in the discipline of Geography between the concepts of space and place. Most research and development in Geographical Information Science (GIScience) has been focused on the former, through methods to formally structure data about the world and to systematically model and analyze aspects of the world as represented through those structured data. People, however, live and behave in socially constructed places; what they care about happens in those places rather than in some abstract, modeled ‘space’. Study of place, by human geographers (and other social scientists and humanist scholars), typically using qualitative methods and seldom relying on digital data, has proceeded largely independently of GIScience research focused on space. There have been calls within GIScience to formalize place to enable application of Geographical Information Systems methods to place-based problems, and some progress in this direction has been made. Here, however, a complementary view is offered for treating ‘place’ as a first class object of attention by capitalizing on the combination of “big data” and new human-centered visual analytical methods to enable understanding of the complexity inherent in place as both a concept and a context for human behavior.
AB - A tension exists in the discipline of Geography between the concepts of space and place. Most research and development in Geographical Information Science (GIScience) has been focused on the former, through methods to formally structure data about the world and to systematically model and analyze aspects of the world as represented through those structured data. People, however, live and behave in socially constructed places; what they care about happens in those places rather than in some abstract, modeled ‘space’. Study of place, by human geographers (and other social scientists and humanist scholars), typically using qualitative methods and seldom relying on digital data, has proceeded largely independently of GIScience research focused on space. There have been calls within GIScience to formalize place to enable application of Geographical Information Systems methods to place-based problems, and some progress in this direction has been made. Here, however, a complementary view is offered for treating ‘place’ as a first class object of attention by capitalizing on the combination of “big data” and new human-centered visual analytical methods to enable understanding of the complexity inherent in place as both a concept and a context for human behavior.
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U2 - 10.1007/978-981-10-4424-3_10
DO - 10.1007/978-981-10-4424-3_10
M3 - Conference contribution
AN - SCOPUS:85030115141
SN - 9783319659923
SN - 9789811044236
T3 - Advances in Geographic Information Science
SP - 139
EP - 155
BT - Advances in Geographic Information Science
A2 - Zhou, Chenghu
A2 - Su, Fenzhen
A2 - Xu, Jun
A2 - Harvey, Francis
PB - Springer Heidelberg
Y2 - 18 August 2016 through 20 August 2016
ER -