Description | Agenda | Instructors & Participants | Travel & Accommodations

Spatial Analysis in the Social Science Curriculum: Enhancing Undergraduate Learning

July 31-August 5, 2006: Santa Barbara, CA

Participants should arrive in Santa Barbara on Sunday, July 30th. The first class is in Ellison Hall, Room 2620 at 9:00am on Monday, July 31st. [ Campus Map] [Graphic Agenda]

Meals
8:00-9:00am	Breakfast (July 31-August 6) - Carrillo Dining Commons
11:30-1:30pm	Lunch (July 30-August 6) - De La Guerra Dining Commons (DLG) (Saturday, Aug 5 @ DLG, 12:00-1:00pm)
5:30-6:30pm	Dinner (July 30-August 5) - Carrillo Dining Commons

Monday, July 31: Introduction, Motivation, and Project Planning
9:00	Welcome and Introduction	Don Janelle
9:30	Integrating Spatial Perspectives into Undergraduate Social Science Education	Stuart Sweeney
10:30	Break
10:45	Spatial Thinking and Problem-based Learning "Teaching and Learning about Spatial Thinking" from NRC report *Background Reading* (password protected): Problem-Based Learning in Geography: Towards a Critical Assessment of its Purposes, Benefits, and Risks (1MB) Activities to Develop a Spatial Perspective among Students in Introductory Geography Courses (866kb) Integrating GIS into the Undergraduate Learning Environment (922kb) Spatial Thinking and Problem-based Learning (745kb) Behaviorism, Cognitivism, Constructivism: Comparing Critical Features from an Instructional Design Perspective	Stacy Rebich
11:45	Lunch
1:15	Project Planning and Student Assessment *Background Reading* (password protected): Analyzing Heritage Landscapes with Historical GIS: contributions from problem-based inquiry and constructivist pedagogy (1.75MB) SPACE Curriculum Design project	Fiona Goodchild, Stacy Rebich, Stuart Sweeney
2:15	Break
2:30	Computer Lab (laptop software checks, data checks, lab logistics) Small-Group Pedagogy Discussion (Fiona Goodchild, Stacy Rebich, Don Janelle, Stuart Sweeney)
3:30	Introducing GIS and Peer Interaction (Sara Battersby, Jeff Hemphill, Enki Yoo) *Background Reading* (password protected): Data Classification (2.1MB) Exercises: Introduction to ArcGIS
5:30	Reception and Poster Session * (UCSB Faculty Club)

Tuesday, August 1: Spatial Social Science and GIScience
9:00	Geographic Information Systems/Science: Basic Concepts of GIS (3.4MB) Nature of spatial processes and their representation in GIS *Background Reading* (password protected): Representing geography (12.7MB) The nature of geographic data (19.3MB) Georeferencing (11MB) Uncertainty (8.9MB) Query, measurement, and transformation (14MB) Descriptive summary, design, and inference (14MB) Spatial modeling with GIS (8MB)	Mike Goodchild
10:00	Break
10:15	The Challenge of Spatial Social Science GIS methods in social science research and education. Thinking spatially in the social sciences. Discussion	Mike Goodchild
12:00	Lunch
1:15	Structured Lab:ArcGIS I: Data Structures / Data Sources / Mapmaking (Sara Battersby, Jeff Hemphill, Enki Yoo)
3:45	Break
4:00	Parallel Electives * Open Computer Lab	Staffed by: Sara Battersby, Jeff Hemphill, Enki Yoo
	Choropleth Maps with ArcGIS
	Spatial Thinking and Student Assessment (1.3MB) *Background Reading* (password protected): Problem-Solving in a Case-Based Course: Strategies for Facilitating Coached Expertise (1.9MB)	Stacy Rebich
8:00pm	Open Discussion - Giovanni's, Isla Vista

Wednesday, August 2: Spatial Analytic Methods in Social Science Instruction
6:00am	Hike with Mike - Foothills of Santa Ynez Mountains
9:30	Spatial Analytic Methods (exploratory / descriptive / inferential) Point data: SS methods / applications Area data: SS methods / applications Interaction data: SS methods / applications *Background Reading* (password protected): GeoDa: An Introduction to Spatial Data Analysis (524kb) Under the Hood. Issues in the Specification and Interpretation of Spatial Regression Models (172kb) *Materials* (password protected): Animations (5.2MB)	Stuart Sweeney
10:30	Break
10:45	Spatial Analytic Methods (exploratory / descriptive / inferential) Spatial analytic methods in social science research and education. Added-value from spatial analytic methods Spatial autocorrelation and relation to social science theories Classroom demos versus student assignments / labs Discussion	Stuart Sweeney
12:00	Lunch
1:15	Structured Lab: GeoDa: Exploratory Spatial Data Analysis Reading ESRI Shape files and variable construction EDA and ESDA utility and interpretation Inferential pattern analysis / spatial autocorrelation.	Stuart Sweeney, Kathryn Grace, Enki Yoo
3:45	Break
4:00	Parallel Electives * Open Computer Lab	staffed by: Jeff Hemphill, Enki Yoo
	R Language and STARS (space-time analysis of regional systems) *Background Reading* (password protected): Spatial Dependence in Linear Regression Models (2.1MB) Spatial econometric theory; Spatial error and spatial lag models Specification tests and model interpretation GeoDa application: Hedonic real estate model	Stuart Sweeney, Kathryn Grace
5:00	Workshop Debriefing

Thursday, August 3: Cartography / Visualization in Social Science Instruction
6:00am	Surf with Stuart
9:00	Cartographic Visualization in Social Science Instruction Symbolizing point, line, and area features (13MB) *Background Reading* (password protected): Sample evaluation criteria for maps (20kb) The Selection of Class Intervals (1.5MB) On Grouping for Maximum Homogeneity (593kb) Map Making for Social Scientists (9.1MB) Choropleth Maps with Class Intervals (241kb)	Sara Battersby
10:30	Break
10:45	Structured Lab: ArcGIS II: Topics in Cartographic Communication Classification Data Sources: US Census FactFinder (census data) ESRI Census Watch (census data portal and information) ESRI Geography Network (tiger line data and tons of other spatial data) *Exercise Material: Example table Selecting good color schemes for maps cart/viz links by Slocum et al. (2004) Mapping Exercises* (password protected): Downloading map data, processing and classifying (68kb) Choropleth mapping with GIS (207kb)	Sara Battersby, Jeff Hemphill, Enki Yoo
12:15	Lunch
Afternoon	Spatial events in Santa Barbara (options depending on interest)	Stacy Rebich
	Open Computer Lab	Kathryn Grace, Jeff Hemphill, Enki Yoo
	Consultation with Faculty	To be arranged
8:00pm	Open Discussion - Location to be determined

Friday, August 4: Spatial Interaction, Pedagogy, and Project Development
9:00	Issues in Teaching and Learning Chair: Fiona Goodchild Panel: Stuart Sweeney, and three workshop participants
10:30	Break
10:45	Movement and Flows Flow representation and mapping Discussion *Background Reading* (password protected): Links: Tobler's Reprinted Articles on Migration	Waldo Tobler
12:00	Lunch
1:15	Frontiers in Teaching (Integrating Geo-Browsers, podcasts, blogs, and GPS)	Discussion with Alan Glennon, Don Janelle, Andrea Nuernberger, and workshop participants
2:15	Parallel Electives * Open Computer Lab	Kathryn Grace, Jeff Hemphill, Enki Yoo
	Flow Mapper Implementation	Waldo Tobler
3:00	Consultations with Instructors	F. Goodchild, D. Janelle, S. Sweeney, W. Tobler
5:00	Workshop Debriefing

Saturday, August 5: Project Presentations / Closing Session
9:00	Participant Presentations and Peer Feedback 8 minute presentation, 4 minute discussion (maximum of 10 PowerPoint slides) Peer review for each participant
12:00	Lunch
1:15	Participant Presentations and Peer Feedback 8 minute presentation, 4 minute discussion. Peer review for each participant
3:15	Break
3:30	Participant Presentations and Peer Feedback 8 minute presentation, 4 minute discussion. Peer review for each participant
4:30	Closing Comments	Don Janelle, Stuart Sweeney, Fiona Goodchild
6:00	BBQ Dinner and Workshop Certificates (Goleta Beach)

Sunday, August 6: Participants Depart Santa Barbara

* Definitions

Project Planning / Goal Setting - Workshop participants are expected to work on a project related to their curriculum and course development. This will be the basis of a final presentation from each participant towards the end of the workshop.
Poster Session - Describe who you are and your role at your home institution. Discuss your interest in spatial analysis and provide examples of how you may have or would like to incorporate spatial analytic perspectives in the undergraduate curriculum. Posters will be the focus for participant and instructor interaction at the reception on the first day of the workshop.
Parallel Electives - Participants may choose options that best reflect their interests and needs. Topics for parallel sessions are flexible and may be suggested by participants at any time during the workshop. These will allow for small-group and more in-depth treatment of topics than would be possible in larger groups.

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