tnkdediscontinuousfunction

discontinuous_tnkde_cpp_arma

The main function to calculate discontinuous NKDE (ARMA and Integer matrix)

internal

Perform spatial analysis on network.
Implement several methods for spatial analysis on network: Network Kernel Density estimation,
building of spatial matrices based on network distance ('listw' objects from 'spdep' package), K functions estimation
for point pattern analysis on network, k nearest neighbours on network, reachable area calculation, and graph generation
References: Okabe et al (2019) <doi:10.1080/13658810802475491>;
Okabe et al (2012, ISBN:978-0470770818);Baddeley et al (2015, ISBN:9781482210200).

Jeremy Gelb

spNetwork

Spatial Analysis on Network

Philippe Apparicio

tnkdediscontinuousfunction function

<dl><dt>neighbour_list</dt>
<dd>a list of the neighbours of each node</dd>
<dt>events</dt>
<dd>a numeric vector of the node id of each event</dd>
<dt>weights</dt>
<dd>a numeric vector of the weight of each event</dd>
<dt>events_time</dt>
<dd>a numeric vector with the time for the events</dd>
<dt>samples</dt>
<dd>a DataFrame of the samples (with spatial coordinates and belonging edge)</dd>
<dt>samples_time</dt>
<dd>a NumericVector indicating when to do the samples</dd>
<dt>bws_net</dt>
<dd>the network kernel bandwidths for each event</dd>
<dt>kernel_name</dt>
<dd>the name of the kernel function to use</dd>
<dt>nodes</dt>
<dd>a DataFrame representing the nodes of the graph (with spatial coordinates)</dd>
<dt>line_list</dt>
<dd>a DataFrame representing the lines of the graph</dd>
<dt>max_depth</dt>
<dd>the maximum recursion depth (after which recursion is stopped)</dd>
<dt>verbose</dt>
<dd>a boolean indicating if the function must print its progress</dd>
<dt>div</dt>
<dd>a string indicating how to standardize the kernel values</dd></dl>

Arguments

The main function to calculate discontinuous NKDE (ARMA and Integer matrix) — tnkdediscontinuousfunction

<dl>

<dt>neighbour_list</dt>
<dd>a list of the neighbours of each node</dd>


<dt>events</dt>
<dd>a numeric vector of the node id of each event</dd>


<dt>weights</dt>
<dd>a numeric vector of the weight of each event</dd>


<dt>events_time</dt>
<dd>a numeric vector with the time for the events</dd>


<dt>samples</dt>
<dd>a DataFrame of the samples (with spatial coordinates and belonging edge)</dd>


<dt>samples_time</dt>
<dd>a NumericVector indicating when to do the samples</dd>


<dt>bws_net</dt>
<dd>the network kernel bandwidths for each event</dd>


<dt>kernel_name</dt>
<dd>the name of the kernel function to use</dd>


<dt>nodes</dt>
<dd>a DataFrame representing the nodes of the graph (with spatial coordinates)</dd>


<dt>line_list</dt>
<dd>a DataFrame representing the lines of the graph</dd>


<dt>max_depth</dt>
<dd>the maximum recursion depth (after which recursion is stopped)</dd>


<dt>verbose</dt>
<dd>a boolean indicating if the function must print its progress</dd>


<dt>div</dt>
<dd>a string indicating how to standardize the kernel values</dd>

</dl>

tnkdediscontinuousfunction: The main function to calculate discontinuous NKDE (ARMA and Integer matrix)

Description

Usage

Value

Arguments