AI-GEOSTATS: tick sampling
- Dear All,
I am trying to fiugre out how many locations I need for a sample of ticks in
the eastern United States. I know that teh rule of thumb is that that no less
than twenty pairs are required per distance class, but is there any other
refrence on sampling for spatial analysis?
Russell Barbour Ph.D.
Research Associate in Applied Mathematics
Vector Ecology Laboratory
Yale School of Medicine
60 College St. Rm 600
New Haven CT. 06520
TEL: 203 785 2394
FAX 203 785 3604
* To post a message to the list, send it to ai-geostats@...
* As a general service to the users, please remember to post a summary of any useful responses to your questions.
* To unsubscribe, send an email to majordomo@... with no subject and "unsubscribe ai-geostats" followed by "end" on the next line in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list
* Support to the list is provided at http://www.ai-geostats.org
I have also been struggling trying to find references on sampling, specifically sample size. The best two that I have found are "Geostatistical Error Measurement" Myers (1997) and "Geostatistics for Environmental Scientists" Webster and Oliver (2001). Webster and Oliver (2001) commit to a n=50 "rule of thumb", granted that is not a hard and fast rule. They specifically comment on experimental design in this book. The best luck I have had is to approach the problem from a simulation point of view, in that, I have simulated the distribution of distance pairs and took enough samples to make the distance distribution uniform, this is of course using stratified random sampling. The simulation is to find the density of points for a bounded area, this is a process of back-engineering sample size.
Hope this helps
Oklahoma State University
[Non-text portions of this message have been removed]