adaptive_bw | R Documentation |

Function to calculate Adaptive bandwidths according to Abramsonâ€™s smoothing regimen.

```
adaptive_bw(
grid,
events,
lines,
bw,
trim_bw,
method,
kernel_name,
max_depth,
tol,
digits,
sparse,
verbose
)
```

`grid` |
A spatial grid to split the data within |

`events` |
A feature collection of points representing the events points |

`lines` |
A feature collection of linestrings representing the network |

`bw` |
The fixed kernel bandwidth (can also be a vector, the value returned will be a matrix in that case) |

`trim_bw` |
The maximum size of local bandwidths (can also be a vector, must match bw) |

`method` |
The method to use when calculating the NKDE |

`kernel_name` |
The name of the kernel to use |

`max_depth` |
The maximum recursion depth |

`tol` |
A float indicating the spatial tolerance when snapping events on lines |

`digits` |
The number of digits to keep |

`sparse` |
A Boolean indicating if sparse matrix should be used |

`verbose` |
A Boolean indicating if update messages should be printed |

A vector with the local bandwidths

```
#This is an internal function, no example provided
```

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