I am looking for an algorithm that would help me find and quantifyclumps of
values in a vector. My datainclude a count of individuals at every meter along
a line transect line.
Two constraints:
1) I would like the clump size to be consistent (i.e. include only 10
consecutivelocations)
2) I am interested in maximum total values for clumps and do not want values
from a single location to be used in the calculations formore than one clump.
For example iftotal number of individuals counted from locations 2-11 = 14 and
the totalnumber of individuals from locations 5-14 =20 I would only like to
identify the latterclump because it is larger and there is overlap between the
two possible clumps from locations 5-11.
My data look something like this:
location<-seq(from=1, to=1000,by=1)
dat<-data.frame(location)
dat$count<-rbinom(round(1000), 1, .1)
dat$count[dat$count==1]<-round(sample(runif(sum(dat$count), 1,10),replace=T))
Thanks,
David
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