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Some Remarks About the Future of Geographical Analysis : The Journal and the Sub‐Discipline
Author(s) -
Griffith Daniel A.
Publication year - 2021
Publication title -
geographical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 65
eISSN - 1538-4632
pISSN - 0016-7363
DOI - 10.1111/gean.12184
Subject(s) - spatial analysis , regional science , presentation (obstetrics) , space (punctuation) , bridging (networking) , big data , geography , sociology , data science , statistics , computer science , data mining , mathematics , medicine , computer network , radiology , operating system
This paper expands upon a GA 50 th Anniversary panel presentation made at the 2018 New Orleans American Association of Geographers meeting. It notes that retrospectives for this topic already exist, both in terms of the journal and the sub‐discipline. This paper presents discussion about the following selected prominent transitional themes bridging the past and the future of geographical analysis: space–time data; geographic uncertainty and error; and, dimensional reduction spatial statistical modeling. It also presents discussion about the following three themes that are expected to receive considerable future attention: negative spatial autocorrelation; synergies between spatial statistics and spatial optimization; and, big spatial data. The first two of these topics essentially have been ignored in the literature to date.