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Abstract Details
Activity Number:
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667
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics and the Environment
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Abstract - #306846 |
Title:
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Applying a Spatial Occupancy Model to Presence-Absence Data from an Atlas Project
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Author(s):
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Kristin Broms*+ and John Skalski and Devin S. Johnson
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Companies:
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University of Washington and University of Washington and National Oceanic and Atmospheric Administration
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Address:
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Box 355020, Seattle, WA, 98195, United States
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Keywords:
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CAR model ;
spatial statistics ;
occupancy model ;
atlas data
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Abstract:
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Occupancy models are used to create species-habitat associations from detection-nondetection (presence-absence) data. Although the basic model does not account for it, this type of data will often be spatially correlated. In this presentation, I will compare the assumptions and results of an occupancy model that assumes all sites and surveys are independent with a spatial occupancy model that allows sites to be correlated through the addition of a CAR-process variable. The models will be applied to the Southern ground-hornbill using data collected from the Southern African Bird Atlas Project 2, an atlas project running from 2007 to present day. Using the checklists submitted by citizen scientist bird watchers, it is a database of detection-nondetection data for all bird species that occur in South Africa. The bird watchers follow a strict protocol to ensure high quality data, and the occupancy model's hierarchical framework accounts for the possibility of species being present but not detected. Preliminary results show strong differences in the resulting range maps from the two models.
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