CALL FOR PAPERS
COMPUTATIONAL STATISTICS & DATA ANALYSIS
Special Issue on SPATIAL STATISTICS
http://www.elsevier.nl/locate/csda
Guest Editors:
James LeSage, Sudipto Banerjee, Manfred Fischer, Peter Congdon.
We are inviting submissions for the 1st special issue of Computational
Statistics and Data Analysis dealing with Spatial Statistics.
The special issue will include spatial data analysis, spatial
computing and modelling. Submissions for the special issue should
contain both a computational and a spatio-analytic component, combined
with a substantive application. Theoretical papers, or papers with
simulation as the main contribution are not suitable for the special
issue.
Overviews are important given the rapid development of spatial
statistics. Analysis of spatial data has made substantial advances in
the last decade or two, linked to progress in often intensive
computational techniques. Spatial applications in econometrics,
environmental science and epidemiology have also benefited from new
modelling perspectives, whether classical or Bayesian in their
inferential basis. Related advances have occurred in spatio-temporal
statistics and statistical image analysis.
The deadline for submissions is 30th November, 2007. Notification of
decisions will be given by 30 March, 2008. Authors who are uncertain
about the suitability of their papers should contact the special issue
editors. All submissions must contain original unpublished work not
being considered for publication elsewhere. Submissions will be
refereed according to standard procedures for Computational Science
and Data Analysis. Information about the journal can be found at
http://www.elsevier.com/locate/csda .
Please e-mail a PDF file of your manuscript to: [log in to unmask]
All submissions must be double spaced or they will be returned
immediately for revision.
James LeSage
Dept. of Finance & Economics
Texas State University, USA
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Sudipto Banerjee
Div. of Biostatistics,
University of Minnesota, USA
[log in to unmask]
Manfred Fischer
Vienna University of Economics and Business Administration, Austria
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Peter Congdon
Department of Geography,
Queen Mary College, University of London, UK
E-mail: [log in to unmask]
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