View source: R/adaptive_simultaneous_tnkde_bw.R

adaptive_bw_tnkde | R Documentation |

Function to calculate Adaptive bandwidths according to Abramsonâ€™s smoothing regimen for TNKDE with a space-time interaction.

adaptive_bw_tnkde( grid, events_loc, events, lines, bw_net, bw_time, trim_bw_net, trim_bw_time, method, kernel_name, max_depth, div, 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_net` |
The fixed kernel bandwidth for the network dimension |

`bw_time` |
The fixed kernel bandwidth for the time dimension |

`trim_bw_net` |
The maximum size of local bandiwidths for network dimension |

`trim_bw_time` |
The maximum size of local bandiwidths for time dimension |

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

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

`max_depth` |
The maximum recursion depth |

`div` |
The divisor to use for kernels |

`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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