tripGrid.interp | R Documentation |

Create a grid of time spent from an object of class `trip`

by
approximating the time between locations for separate trip events.

```
tripGrid.interp(x, grid = NULL, method = "count", dur = NULL, ...)
kdePoints(x, h = NULL, grid = NULL, resetTime = TRUE, ...)
countPoints(x, dur = 1, grid = NULL)
```

`x` |
object of class trip |

`grid` |
GridTopology - will be generated automatically if NULL |

`method` |
name of method for quantifying time spent, see Details |

`dur` |
The \"dur\"ation of time used to interpolate between available locations (see Details) |

`...` |
other arguments passed to |

`h` |
kernel bandwidth |

`resetTime` |
rescale result back to the total duration of the input |

This set of functions was the the original tripGrid from prior to version
1.1-6. `tripGrid`

should be used for more exact and fast calculations
assuming linear motion between fixes.

The intention is for `tripGrid.interp`

to be used for exploring
approximate methods of line-to-cell gridding.

Trip locations are first interpolated, based on an equal-time spacing
between records. These interpolated points are then "binned" to a grid of
cells. The time spacing is specified by the `dur`

(duration) argument to
`interpequal`

in seconds (i.e. `dur=3600`

is used for 1 hour).
Shorter time periods will require longer computation with a closer
approximation to the total time spent in the gridded result.

Currently there are methods "count" and "kde" for quantifying time spent, corresponding to the functions "countPoints" and "kdePoints". "kde" uses kernel density to smooth the locations, "count" simply counts the points falling in a grid cell.

`tripGrid`

returns an object of class `SpatialGridDataFrame`

, with
one column "z" containing the time spent in each cell in seconds. If
kdePoints is used the units are not related to the time values and must be
scaled for further use.

`bandwidth.nrd`

for the calculation of bandwidth values used internally when not supplied by the user

trip documentation built on July 9, 2023, 7:29 p.m.

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