Blank I would like to graciously thank Pravin Kumar, Craig von Hagen, Laurie McLaughlin, Ioan Olah, Duane Marble, M. Black and Alan Baker for their helpful and prompt replies to my request for information. Below is my original request, followed by the summary of responses. (Although I would note that I mistyped when I said we were doing this at county level. We are doing it within the boundary of a county, at the US census block group level and up.)
Alan, Thank you for sharing your own experiences with vulnerability mapping!
Teresa Boad
ORIGINAL:
I am looking for articles, papers, whatever, containing detailed documentation of the methodology and spatial analysis model used for a vulnerability analysis. Ideally, it would be something very similar to what I am attempting to do:
I am looking at the distributive impact of environmental pollution among people. I would like to do this at the county level, with specific attention to demographics such as income and ethnicity. I have been asked to use the TRI dataset (by the county requesting the analysis), but would be interested in any opinions on that data for this type of analysis. If anyone has already done such a study and would be willing to share your experience with me, that would be exceptional!
I have already found many articles in journals and several recently published books, but the none of the literature I have found involves using GIS, or if it does, does not explain it's role in the analysis, in detail. >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
RESPONSES:
I to am working on vulnerability mapping, although it is on a slightly different topic. The project is called FAVA, Florida Aquifer Vulnerability Assessment model and we are currently trying to use Weights of Evidence to predict vulnerability. More information on the method and the extension, which is, free can be found at this website http://ntserv.gis.nrcan.gc.ca/wofe/. Additional information can be found in a book by Graeme F. Bonham-Carter, Geographic Information Systems for Geoscientists, modeling with GIS (http://www.amazon.com/exec/obidos/ASIN/0080424201/qid=1019131396/sr=1-1/ref = sr_1_1/104-7646939-4838327).
What I know so far about using weights of evidence, is that it uses existing occurrences of a known, in your case environmental pollution, and the correlation of that known with overlaying GRID's. When we try to determine aquifer vulnerability we will take a point coverage of known contaminates (training point theme) and measure it's correlation with evidential themes such as: Type of soil, confinement of the aquifer, distance to sinkholes, etc. which are all GRID's.
Your software needs will be ArcView 3.2x and Spatial Analyst. The extension as I mentioned earlier is free.
I've attached a draft of a recent vulnerability analysis. See if it has any possibilities for your work,
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
Date: two-day course: 5-6th June 2002: half day extension 7th June 2002 Venue: King's College, Old Aberdeen, University of Aberdeen, Aberdeen, UK
ANNOUNCING: DISEASE MAPPING AND RISK ASSESSMENT FOR PUBLICH HEALTH
A two day course with a half day extension. This course is designed to provide an introduction to the area of disease mapping
and risk assessment in applications to Public Health and Epidemiology.
The two-day course consists of sessions dealing with:
* Basic concepts of disease mapping * Disease cluster assessment * Risk assessment around health hazards
>>>>>>>>>>>>>>>>>>>>>>
Step 1., write a mission statement as to the purpose of the database which is to produce a report to solve some management problem. Step 2., Identify the specific management decisions to be made based on the report. Step 3., Identify the data needed to produce such a report
>>>>>>>>>>>>>>
You might want to start at the "USAID" site
www.info.usaid.gov
>>>>>>>>>>>>>>>>>>>>>>>
Earth Satellite Corporation has done some work in this area, I know there is a very short reference to the project on the seb at: http://www.earthsat.com/env/gis/ http://www.earthsat.com/env/gis/supply_modeling.html
For more information contact Jeffrey Miller (jmiller@earthsat.com) he has done most of the modeling work primarily looking at food and water balance (supply/demand/vulnerability).
EarthSat has completed a Africa-wide imagery and landcover dataset for NASA and NIMA that may be of interest to you. It is called geocover. More info can be found at: http://www.earthsat.com
|