Assessing distance sampling estimation under nonhomogeneous
We conduct a simulation study to assess the performance of conventional distance sampling estimators when the spatial distribution of individuals in the study area follows a non-homogeneous Poisson process. The following two approaches are considered: 1) objects in the study area are fixed, but diff...
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| Format: | lecture |
| Language: | eng |
| Published: |
2008
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| Online Access: | http://hdl.handle.net/10174/1152 |
| Country: | Portugal |
| Oai: | oai:dspace.uevora.pt:10174/1152 |
| Summary: | We conduct a simulation study to assess the performance of conventional distance sampling estimators when the spatial distribution of individuals in the study area follows a non-homogeneous Poisson process. The following two approaches are considered: 1) objects in the study area are fixed, but different transects are randomly allocated in every simulation; 2) transects are fixed, but objects are randomly placed in every simulation. Different intensity functions are used to simulate non-homogeneous Poisson processes and six different scenarios are considered for objects location in study area. Transects are positioned randomly or systematically with a random start. |
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