University
of Washington
Geography
367
Professor
Harrington
notes on spatial analysis
Recall our definitions of the ecological fallacy;
modifiable areal unit problem.
Recall the questions I left the class with from Sherwood's
chapter:
1. Be able to respond (in class, and on paper) to Sherwood’s
generalizations about the state of geographic education and linkages to
business communities, from your own experiences and from an institutional
perspective
2. How do you [plan to] describe yourself professionally?
3. What does she mean by the phrase “business geographics”?
[She gave no explicit definition, but I’d say “concepts and systems that
link tools for manipulation of geographic information, in the service of
business or commercial decision making”]
4. How does this differ from “economic uses of geographic
information”? From “GIS applications”?
What sorts of geographic analyses have you
undertaken?
Birkin et al. 1996
GIS and Spatial Decision Support Systems
What GIS functions do the authors cite as being
used in typical analyses?
-
Overlay (what is it; why would it be used?)
-
Weighted overlay (what is it; why would it be
used?)
-
Buffering (what is it; why would it be used?)
-
Point-in polygoning (what is it; why would it
be used?)
-
Routing (what is it; why would it be used?)
-
Data transformation (arithmetic as well as
geographic) (what are these; why would each be used?)
What examples do the authors provide of actual decision
needs in which these processes are combined?
Spatial analysis: using geographical information
–
-
to uncover spatial regularities (inductively generating theory
or explanation),
-
to test expectations (inductively testing theory), or
-
to forecast for geographic areas among which there may be
some interrelationship (e.g., forecasting migration flows, which reflect
economic and social circumstances within regions and relative conditions
between regions, with a distance-decay function; or forecasting store
sales based on local market characteristics by distance from the store,
and competitors’ actions and market distance from competitors); the
forecast is based on a model which can be a priori or could have been estimated
based on earlier data (explain);
-
using geographic modeling to present or propose geographical
explanations (presenting deductive theory) – geographic modeling of causal
processes.
-
Spatial autocorrelation (to uncover social processes – juvenile
delinquency; violent crime – to uncover economic correlations)
Routes toward spatial analysis in GIS:
· Inserting spatial analysis tools within GIS
(tests for spatial autocorrelation, trend-surface analysis)
· Developing exploratory spatial analysis tools
that make use of GIS data-handling capabilities (“spatial data mining”?)
· Loose coupling of statistical routines with
GIS output and presentation
Thomas, 2000
Insurance Pricing with GIS
Modeling geographic patterns of risk
What kinds of risk should face geographic correlation,
at what geographic scale for each?
-
Fire damage – at the localized scale (this is why fire protection
is a public good rather than privately provided)
-
Earthquake damage – at the global scale of plate tectonic,
and the more localized scale of soil types
-
Hurricane damage – at the broad regional scale of hurricane
incidence and pathways (hazard), and the more localized scale of topography
and municipal building codes (vulnerability) – though what Thomas suggested
as a proxy for vulnerability was the company’s proprietary data on loss
claims by small area.
copyright James W. Harrington, Jr.
revised 15 January 2002