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SEMINAR: MBF FACULTY SEMINAR--FRIDAY, NOV 11 @ 12N--Dr John F. Walter--“Spatial statistical applications for natural resources assessment”
| From: | Pam Harris <pharris@rsmas.miami.edu> |
| Subject: | SEMINAR: MBF FACULTY SEMINAR--FRIDAY, NOV 11 @ 12N--Dr John F. Walter--“Spatial statistical applications for natural resources assessment” |
| Date: | Tue, 08 Nov 2011 16:05:21 -0500 |
|
MBF
Faculty
Seminar Series Dr
John
F. Walter Stock
Assessment
Biologist Southeast
Fisheries
Science Center, Miami, FL “Spatial
statistical applications for natural
resources assessment” As fisheries management needs become increasingly spatially explicit it is imperative to develop spatial and geostatistical tools for mapping and predicting populations in space. In this talk I discuss several geostatistical applications for fisheries assessments. The first example I describe is a novel approach to obtaining the variogram, a critical tool for spatial prediction, with low sample sizes, a common problem in many applications. In the second application I show how the variogram can be used to develop a spatially optimal sampling design without having collected the data with an example of a reef fish sampling program from St Croix, USVI. In the last application I describe how geostatistical prediction can be used to provide more accurate estimates of catch rates with biased data and describe an application to catch per unit effort to Atlantic sea scallops and an ongoing project to predict red tide intensity and severity in the Gulf of Mexico. Friday,
November
11, 2011 12noon RSMAS
campus,
S/A 103
--
Pamela Harris Administrative Assistant Marine Biology and Fisheries Rosenstiel School of Marine and Atmospheric Science University of Miami 4600 Rickenbacker Causeway/SLAB-118 Miami, FL 33149 (305) 421-4176 fax - (305) 421-4600 pharris@rsmas.miami.edu http://www.rsmas.miami.edu/academics/divisions/marine-biology-fisheries/ |
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- From: Pam Harris <pharris@rsmas.miami.edu>
- SEMINAR: MBF FACULTY SEMINAR--TOMORROW--FRIDAY, NOV 11 @ 12N--Dr John F. Walter--“Spatial statistical applications for natural resources assessment”
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