Difference between revisions of "HoRAE TODO"
From stgo
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* look into analysis tools that consider 2 individuals, i.e. to evaluate their temporary relationships (e.g. distances) | * look into analysis tools that consider 2 individuals, i.e. to evaluate their temporary relationships (e.g. distances) | ||
* investigate if it makes sense to remove points/HR parts based on distance to "activity centers" (assumes convex HR).. this was suggested for buffer approach by one of the reviewers (and derives from the modified MCP). | * investigate if it makes sense to remove points/HR parts based on distance to "activity centers" (assumes convex HR).. this was suggested for buffer approach by one of the reviewers (and derives from the modified MCP). | ||
| + | * extend Asymptote tool with sub-sampling and resulting sample set evaluations on HR estimation. | ||
| + | * home range classification: core area vs. edge: the edge with in Voigt et al (2007) is fairly static, whereas the edge width from calculations after Harris et al. (1990) and Seaman and Powell (1990) does vary quite a bit. | ||
| + | * can we add noise to make LSCV more robust/working? | ||
Revision as of 19:37, 16 March 2012
list of possible extensions/research:
- test if h_MTD can be a good recommendation in general, i.e. test with non-grizzly datasets
- look into inference from individual to groups and populations (see Otis and White 1999)
- look into analysis tools that consider 2 individuals, i.e. to evaluate their temporary relationships (e.g. distances)
- investigate if it makes sense to remove points/HR parts based on distance to "activity centers" (assumes convex HR).. this was suggested for buffer approach by one of the reviewers (and derives from the modified MCP).
- extend Asymptote tool with sub-sampling and resulting sample set evaluations on HR estimation.
- home range classification: core area vs. edge: the edge with in Voigt et al (2007) is fairly static, whereas the edge width from calculations after Harris et al. (1990) and Seaman and Powell (1990) does vary quite a bit.
- can we add noise to make LSCV more robust/working?
