then it may be possible to correct the incomplete samples by fitting an asymp-
totic regression.
Other approaches to this incremental analysis involve use of random instead of
consecutive locations, and estimation of stability by overlap of outlines with
Approaches| 153
Fig. 6.3The increase in range area as consecutive locations are added, estimated by
(a) minimum convex polygons on peripheral locations, (b) ellipses encompassing
99% of the utilization distribution, (c) polygons round locations grouped by cluster
analysis and (d) kernel contours for 99% of the utilization distribution. Lines show the
mean and bars give the range of estimates for four Northern Goshawks Accipiter gentilis
that were located 5–6 times daily. All methods indicate that range areas changed little
after the first 10 days of tracking.
(a)
Percentage of maximum area
Percentage of maximum area
Percentage of maximum area
(b)
(c)
(d)
MCP, 100% fixes
Jennrich-Turner ellipse, 99% density
Cluster Polygons, 99% fixes
Percentage of maximum area
Number of locations
Reference Kernel, 99% density
(^204060)
20 40 60
20 40 60
(^204060)
100
80
60
40
20
0
100
80
60
40
20
0
100
80
60
40
20
0
100
80
60
40
20
0