ISBN:
9789401115742
Language:
English
Pages:
Online-Ressource
,
online resource
Edition:
Springer eBook Collection. Humanities, Social Sciences and Law
DDC:
50
Keywords:
Science (General)
Description / Table of Contents:
1 Introductory concepts1.1 Introduction -- 1.2 Range of applications -- 1.3 Types of data -- 1.4 Known constants and parameters -- 1.5 Assumptions -- 1.6 Fundamental concept -- 1.7 Detection -- 1.8 History of methods -- 1.9 Program DISTANCE -- 2 Assumptions and modelling philosophy -- 2.1 Assumptions -- 2.2 Fundamental models -- 2.3 Philosophy and strategy -- 2.4 Robust models -- 2.5 Some analysis guidelines -- 3 Statistical theory -- 3.1 General formula -- 3.2 Hazard-rate modelling of the detection process -- 3.3 The key function formulation for distance data -- 3.4 Maximum likelihood methods -- 3.5 Choice of model -- 3.6 Estimation for clustered populations -- 3.7 Density, variance and interval estimation -- 3.8 Stratification and covariates -- 4 Line transects -- 4.1 Introduction -- 4.2 Example data -- 4.3 Truncation -- 4.4 Estimating the variance in sample size -- 4.5 Analysis of grouped or ungrouped data -- 4.6 Model selection -- 4.7 Estimation of density and measures of precision -- 4.8 Estimation when the objects are in clusters -- 4.9 Assumptions -- 4.10 Summary -- 5 Point transects -- 5.1 Introduction -- 5.2 Example data -- 5.3 Truncation -- 5.4 Estimating the variance in sample size -- 5.5 Analysis of grouped or ungrouped data -- 5.6 Model selection -- 5.7 Estimation of density and measures of precision -- 5.8 Estimation when the objects are in clusters -- 5.9 Assumptions -- 5.10 Summary -- 6 Extensions and related work -- 6.1 Introduction -- 6.2 Other models -- 6.3 Modelling variation in encounter rate and cluster size -- 6.4 Estimation of the probability of detection on the line or point -- 6.5 On the concept of detection search effort -- 6.6 Fixed versus random sample size -- 6.7 Efficient simulation of distance data -- 6.8 Thoughts about a full likelihood approach -- 6.9 Distance sampling in three dimensions -- 6.10 Cue counting -- 6.11 Trapping webs -- 6.12 Migration counts -- 6.13 Point-to-object and nearest neighbour methods -- 7 Study design and field methods -- 7.1 Introduction -- 7.2 Survey design -- 7.3 Searching behaviour -- 7.4 Measurements -- 7.5 Training observers -- 7.6 Field methods for mobile objects -- 7.7 Field methods when detection on the centerline is not certain -- 7.8 Field comparisons between line transects, point transects and mapping censuses -- 7.9 Summary -- 8 Illustrative examples -- 8.1 Introduction -- 8.2 Lake Huron brick data -- 8.3 Wooden stake data -- 8.4 Studies of nest density -- 8.5 Fin whale abundance in the North Atlantic -- 8.6 Use of tuna vessel observer data to assess trends in abundance of dolphins -- 8.7 House wren densities in South Platte River bottomland -- 8.8 Songbird surveys in Arapaho National Wildlife Refuge -- 8.9 Assessing the effects of habitat on density -- Appendix A List of common and scientific names cited -- Appendix B Notation and abbreviations, and their definitions.
DOI:
10.1007/978-94-011-1574-2
URL:
Volltext
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