Kernel Home Range Estimation for ArcGIS, using VBA - Fish and ...

Table of Contents
1. Preface 3
2. Introduction 3
2.1. Home Range Analysis 3
2.2. Software discrepancies 4
3. Minimum Convex Polygons 6
3.1. The first home ranges 6
3.2. Problems with polygons 7
3.3. Benefits of polygons – Simple can be good 7
3.4. A final note on comparability 9
4. Kernel Density Estimation 9
4.1. The move from deterministic to probabilistic techniques 9
4.2. What to make of all these user inputs 15
4.3. Selecting a smoothing factor 16
4.3.1. Non-statistical methods 16
4.3.2. Statistical methods 16
4.4. Discretization and the effect of rounding error 21
4.5. Standardization 26
4.5.1. Unit Variance Standardization 26
4.5.2. X Variance Standardization 28
4.5.3. Covariance Bias 29
5. Home Range Asymptotes 30
5.1. Why we should look at them 30
5.2. How we should analyze them 31
6. Core Home Ranges 33
6.1. Does a core really exist 33
6.2. How do we test for this 33
7. Data driven and Biologically meaningful methods 36
8. Using ABODE 39
8.1. How to start using ABODE 40
8.1.1. Loading the form into the VBEditor 40
8.1.2. The VBA realm 42
8.1.3. The easy start-up for ABODE 45
8.2. Using ABODE for home range analysis 46
8.2.1. The Visual Basic form and error trapping 46
8.2.2. Minimum Convex Polygons (MCPs) 48
8.2.3. Kernel Density Estimation 53
9. Conclusion 59
10. Acknowledgements 59
11. References 60
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