I have a telemetry data which consist of its position and the activity of a bird. The dataset is in the csv format which I am uploading:
Lat. Long. Act Date Time
12 17 Eat 5-1-08 13:10
14 18 Rest 5-1-08 13:30
19 14 Walk 5-1-08 13:50
11 10 Rest 5-1-08 14:10
18 11 Walk 5-1-08 14:20
15 19 Walk 5-1-08 14:40
10 17 Rest 5-1-08 15:00
....
I have produced ggplot (lat and long) to get the clusters over the bird path. Theory is higher the density of a cluster (in a continuous time interval) probability that it is eating is more.
plt1 <- ggplot(data = dataframe, aes(y = Lat., x = Long., colour = Act) )
Problem:
- I have to find patterns (& store it) what the bird is doing after eating and for some unknown dataset (only Lat. and long is provided) I have to find the eating points in the plot based on the known patterns.
Can anyone help me in suggesting some solution or references (algorithms, libraries.. anything..) to this..?