Leveraging big (Geo) data with (Geo) visual analytics: Place as the next frontier

Alan M. MacEachren

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationAdvances in Geographic Information Science
EditorsChenghu Zhou, Fenzhen Su, Jun Xu, Francis Harvey
PublisherSpringer Heidelberg
Pages139-155
Number of pages17
ISBN (Print)9783319659923, 9789811044236
DOIs
StatePublished - 2017
Event17th International Symposium on Spatial Data Handling, SDH 2016 - Beijing, China
Duration: Aug 18 2016Aug 20 2016

Publication series

NameAdvances in Geographic Information Science
Volume0
ISSN (Print)1867-2434
ISSN (Electronic)1867-2442

Other

Other17th International Symposium on Spatial Data Handling, SDH 2016
Country/TerritoryChina
CityBeijing
Period8/18/168/20/16

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Civil and Structural Engineering
  • Geography, Planning and Development

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