Urban Ecology Spatial Analysis Workshop
University of Washington Urban Ecology
Program
January 9, 10, 16, 2004
Jeff Hepinstall
236 Gould Hall
Overall learning Objectives for this Workshop, Day 1
Overall learning Objectives for this Workshop, Day 2
Overall learning Objectives for this Workshop, Day 3
General Outline of this workshop
Friday, January 9th
1 - 6 pm, 236 Gould Hall
I. Introduction
to spatial analysis (1-2:30)
What is spatial analysis
Several short examples of possible analyses
Several examples of non-spatial analyses
Brief introduction to software
ArcGIS 8.2: ArcMap, ArcCatalog, ArcToolBox, command line
ArcView 3.2
II. Representing the geometry of spatial phenomena (2:30-3:30)
Coordinate systems, projections
Examples: opening files, determining projection
Raster, Vector, and Attribute data and examples of each
Raster
1. types (Imagery, Raster, Grids)
2. potential uses
3. inherent limitations
Vector
1. types (Point, Line, Polygon, Complex types)
2. potential uses
3. inherent limitations
Topology
Tabular manipulation of attribute
data
Data types (continuous vs. discrete
/ categorical)
Examples: understanding data when it comes to you
1. type
2. projection
3. scale
4. appropriate uses
5. limitations
III. Hands-on Example: Chapter 2 (Quick-start Tutorial) from "Using ArcToolbox" (3:30 - 5:30)
Saturday, January 10th
10 am – 5 pm
0. Catchup for people who could not attend Friday's session (9:00 – 10:00)
I. Data Available
on Urban Ecology Server (10:00 – 11:00)
a. How to connect to data
b. How data are organized
II. Methods and Examples of spatial analysis - Part 1 (11:00-1:00)
b. Using ArcToolbox for Vector Analysis
III. Methods and Examples of spatial analysis - Part 2 (1:00-3:00)
i. Neighborhood analysis
ii. Distance measurements
iii. Map algebra
iv. DEM, terrain visualization and analysis
v. Hydrologic modeling/watershed analysis
d. Imagery/Scanning Paper Map
i. Image interpretation and classification
ii. Scanning analog (map) data
IV. Spatial data exploration and modeling (3:00-4:00)
a. Types of analyses done in the Urban Ecology Research Lab
b. Pattern detection
c. Spatial metrics
i. Introduction to Fragstats
ii. LE chapters 7, 8
d. Spatial modeling
e. Complex topics
V. Student problems (4:00-6:00) – students to pick and work through at least one problem and compare methods and results with those of Instructor