nest_windows: Nest data into windows
In bsmity13/LoCoHverlap: Estimate animal range overlap using LoCoh and EMD

Description Usage Arguments Details Value Examples

Creates a nested data.frame from an mv_wind object

1	nest_windows(dat, mv_wind)

`dat`	`[data.frame]` A `data.frame` with location data for one individual. Should have same columns as `dat` for `fit_locoh()`.
`mv_wind`	`[mv_wind]` An `mv_wind` object returned by `construct_windows()`.

Uses sqldf() to join locations to windows that they fall within. Then uses nest() to create a nested data.frame holding the location data in a list column.

Returns a nested data.frame (a tbl) with columns:

window – An integer indexing the window number
start – The date and time of the window start (class POSIXct)
end – The date and time of the window end (class POSIXct)
data – A list column containing tbls with the animal location data. It has columns:
- t – The location timestamp (class POSIXct)
- x – The x-coordinate of the location
- y – The y-coordinate of the location

## Not run: 

# Load lubridate
library(lubridate)

# Load data
data(tracks)

# Keep 1 individual
tk1 <- tracks[which(tracks$id == "ID01"), ]

# Construct moving windows
wind <- construct_windows(start = ymd_hms("2021-05-15 00:00:00"),
                          width = days(5),
                          step = days(2),
                          end = ymd_hms("2021-06-30 00:00:00"))

#Nest
nst <- nest_windows(tk1, wind)


## End(Not run)