***Apologies for cross-posting***
CALL FOR PAPERS
https://sites.google.com/site/call4papersbigdata/
International Journal Geographical Information Science
Special Issue on Big Data and Complexity Science
The emerging social media, as well as advanced geospatial technologies,
provide unprecedented big data, which are location-based and
time-stamped, for better understanding underlying geographic forms and
processes, or urban structure and dynamics in particular, related to
human activities in both physical and virtual spaces. Different
fundamentally from conventional small data that are usually estimated,
sampled, and aggregated by census and statistical authorities, big data,
emerging from the bottom up or harvested from geospatial technologies,
are accurately measured for all individual people or locations. These
distinguished features (measured, all, and individual) make big data
unique and powerful for understanding the underlying mechanisms of
geographic forms and processes. In this regard, complexity science has
developed a range of tools such as discrete models (cellular automata
and agent-based modeling), complex networks (small-world and scale-free
properties), scaling hierarchy (Zipf’s law, Pareto distributions, power
laws, and allometry), fractal geometry (monofractal and multifractal
analysis), self-organized criticality, and chaos theory. All these
modeling tools attempt to reveal the underlying mechanisms, linking
surface complex forms (or complexity) to the underlying mechanisms (or
deep simplicity) through simulations from the bottom up, rather than
simple descriptions of forms or of geographic forms in particular. We
call for original papers that explore complexity science dimensions of
big data using any complexity modeling tools in various settings such as
urban informatics, urban computing, smart city, and sustainable
environment and society.
Submission:
All manuscripts including any support material should be submitted using
the journal's online Manuscript Central facility
(http://mc.manuscriptcentral.com/ijgis). Note that the key spirit of big
data is not just about the data size, but openness and transparency of
doing science. We therefore encourage authors to consider this option of
support materials archiving of data (including both raw and derived) and
source codes, which is a distinguished feature of this special issue.
Authors must select “Special Issue” while they reach the “Article Type”
step in the submission process, and identify the “Big data and
complexity science” special issue in their cover letter. First-time
users must register themselves as Author.
Important dates:
Paper submission due: 30 November 2014
(Note: first come first reviewed up to the deadline)
Acceptance notification: 31 March 2015
Publication (estimated): 30 June 2015
Guest editor:
Bin Jiang
Department of Technology and Built Environment
Division of Geomatics
University of Gävle, Sweden
Email: [log in to unmask]
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Bin Jiang
Division of Geomatics, KTH Research School
Department of Technology and Built Environment
University of Gävle, SE-801 76 Gävle, Sweden
Phone: +46-26-64 8901 Fax: +46-26-64 8758
Email: [log in to unmask] Web: http://fromto.hig.se/~bjg/
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European Associate Editor
Computers, Environment and Urban Systems: An International Journal
ICA Commission: https://sites.google.com/site/commissionofica/
Geomatics Program: https://sites.google.com/site/geomaticsprogram/
Special Issue: https://sites.google.com/site/call4papersbigdata/
SENSORCITY: https://sites.google.com/site/sensorcityproject/
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