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Description |
Agenda |
Instructors & Participants |
Travel & Accommodations
Introduction
to Spatial Pattern Analysis in a GIS Environment
Santa Barbara, CA - July 28 - August 1, 2003
The application deadline was March 31, 2003.
Host institution
CSISS, University of California, Santa Barbara
Instructors
Arthur Getis (coordinator), John R. Weeks, and Jared Aldstadt
(all of San Diego State University) and Michael Goodchild
(CSISS, University of California, Santa Barbara)
The Workshop
This workshop focuses on applications of pattern analysis
in a Geographic Information Systems environment.
It features:
- a series of illustrated lectures on both GIS and
spatial pattern analysis
- exercises demonstrating the principles outlined
in the lectures
- data exploration based on current projects concerned
with spatial patterns relating to various social,
behavioral, and economic phenomena.
The workshop lectures will emphasize the fundamental principles
and examples of the use of spatial pattern analysis for the
help it gives toward the solution of important societal questions.
Demonstrating concepts covered in the lectures, exercises
will utilize a variety of software tools including ArcInfo
8.0, Point Pattern Analysis, and ClusterSeer software.
The data exploration portion of the workshop will consist
of GIS-based analyses of spatial data related to:
- the incidences of various crimes within an urban
environment
- the spread of infectious diseases in the tropics
- the diffusion of fertility decline in a third world
setting
- variables selected by the participants prior to
the workshop.
Participants will prepare a final report of their GIS-based
analyses.
Workshop Leaders
Professor Getis, San Diego State University, has had a long
association with spatial statistics, especially in the area
of point pattern analysis. Perhaps his best known work is
the collaborative effort in which he has been engaged with
Professor J. Keith Ord (Georgetown University) on the development
of a series of mainly locally based spatial association statistics.
Professor Goodchild is best known for his work in geographic
information systems and digital libraries. He is Professor
of Geography at UC Santa Barbara, Director of CSISS, and Associate
Director of the Alexandria Digital Library.
Professor Weeks, San Diego State University, is a well-known
demographer and author of the standard textbook in the field,
now in its 8th edition. He is immediate past-president of
the Association of American Geographers specialty group on
population geography. Professor Weeks has broad experience
in the social sciences, having taught in both the Departments
of Geography and Sociology at SDSU and currently is the principal
investigator of an NSF project.
Mr. Aldstadt is a student and research assistant in the joint
Ph.D. program at SDSU and UCSB. He has considerable experience
in geographic information systems and econometric modeling.
Pedagogical Goals
The
workshop will be geared toward PhD candidates and young faculty
members in the social sciences and health related disciplines.
The purposes are not only to inform those new to spatial pattern
analysis about its uses, but also to instill in them a fundamental
understanding of the importance of spatial thinking and spatial
concern. In the spirit of CSISS, we hope to "facilitate
intensive cross-fertilization of research ideas…"
among a diverse group from fields such as political science,
criminal justice, epidemiology, sociology, and anthropology.
The workshop will attempt to extend the analytical power of
spatial analysis
to social science. Participants will be required to bring
with them a georeferenced data set in which they have a particular
interest. They
will be informed beforehand of possible web sites where such
data are available. Participants will take part in the development
and discussion of a report that they create on the use of
spatial pattern analysis.
Cost
There are no registration fees associated with CSISS workshops. Eligibility for attendance is determined through a competitive
application process. Additionally, successful applicants may receive a $500 scholarship to help offset travel and lodging expenses.
Full details will be outlined in letters of acceptance.
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