Spatial Statistics 2013:
Revealing intricacies in spatial and spatio-temporal data with statistics
You
are cordially invited to attend the Spatial Statistics 2013 conference,
which will be held in the Ohio Union at The Ohio State University,
Columbus, OH, June 4-7,
2013. This conference provides state-of-the-art paper sessions in the
field of spatial statistics, including the quantitative analysis of
spatial data and the statistical modeling of spatial variability and
uncertainty. Researchers participating in this conference come from
various fields, including agriculture, geology, ecology, epidemiology,
geography, hydrology, and spatial econometrics, and will present in
paper, keynote and plenary sessions, participate in panel discussions,
and contribute to poster presentation.
Keynote/Plenary speakers:
The keynote speakers are Robert Haining (University of Cambridge, UK), Pierre Legendre (University of Montreal, Canada), Jean Paelinck (George Mason University, USA), Lance A. Waller (Emory University, USA), and Jinfeng Wang (Chinese Academy of Science at Beijing, China).
The plenary speakers are Sudipto Banerjee (University of Minnesota, USA), Montserrat Fuentes (North Carolina State University, USA), Jorge Mateu (University of Navarra, Spain), Ronny Vallejos (Universidad Técnica Federico Santa María, Chile), and Tonglin Zhang (Purdue University, USA).
Submission of abstracts and session proposals:
Submissions
of individual paper abstracts, session proposals, and workshop
proposals are welcome. An abstract can be submitted through the
conference web site until February 25th, 2013. Persons who are interested in organizing a session can submit a session proposal until January 31st, 2013. Persons who are interested in organizing a workshop (half- or full-day workshops will be held on June 4, immediately prior to the main meeting) can submit a session proposal until December 1st, 2012.
Selected papers from the conference will be eligible for publication in a special issue of Spatial Statistics, and, given sufficient interest and appropriate topics, special issues of Geographical Analysis and Computers & Geosciences.
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