UCSB 2009 July 12-July 17, 2009: Santa Barbara, CA
The goal of this five-day workshop, led by Paul R. Voss (University of North Carolina at Chapel Hill) and Katherine Curtis (University of Wisconsin-Madison) is to provide an overview of applied spatial regression analysis (spatial econometrics). This course will introduce the broader field of spatial data analysis and the range of issues that generally must be dealt with when analyzing georeferenced data. Census-type data are among the most commonly encountered data that conform to this description, although the course acknowledges the wider range of data appropriate for spatial regression analysis.
This workshop will address the following questions:
The course is structured around a combined lecture format (mornings) and computing lab exercises (afternoons). Although we will use mapping software, the focus of the course is on spatial analysis, not geographic information systems (GIS). Software emphasis will be given to GeoDa and R for exploratory spatial data analysis (ESDA) and spatial regression modeling. Some acquaintance with this software is helpful but is not a prerequisite. Prerequisites for maximizing learning in this course are a solid grounding in standard multivariate regression techniques and a minimal level of comfort with matrix notation and algebra.
Applications will be accepted through an online submission from this site, opening in early January, 2009.
Workshop attendees are expected to bring a laptop computer that meets the following requirements:
Windows XP, 1GB RAM (2 GB minimum is preferred), 1.6 GHz Processor, 1GB free disk space.
Participants will receive a certificate of completion from the GIS Population Science Training Program in Advanced Spatial Analysis from the Center for Spatially Integrated Science.
GIS and Population Science Advanced Spatial Analysis Workshops Flyer. (112kb)