generate_heatmap

Generate a ggplot heatmap of count information by date and location given a
frame of count-by-location-and-date data.

Provides utilities for manipulating time series of location-based counts of events to detect geo-spatial clusters. Significance of these clusters is determined using a set of models that classify based on a learned relationship between observed and the log(observed/expected) ratio of counts. The approach implemented here is similar to prospective space-time estimation of clusters using the scan statistic.

Luke Mullany

gsClusterDetect

Utilities for Geo-Spatial Cluster Detection and Significance
Classification

Howard Burkom

generate_heatmap function

<dl><dt>heatmap_data</dt>
<dd>data frame generated by `generate_heatmap_data`</dd>
<dt>plot_type</dt>
<dd>string indicating either a "ggplot" or "plotly" result.
If the requested backend is unavailable, the function warns and falls back
to the other backend when available.</dd>
<dt>...</dt>
<dd>passed onto plotly</dd></dl>

Arguments

Generate heatmap of data — generate_heatmap

<dl>

<dt>heatmap_data</dt>
<dd>data frame generated by `generate_heatmap_data`</dd>


<dt>plot_type</dt>
<dd>string indicating either a "ggplot" or "plotly" result.
If the requested backend is unavailable, the function warns and falls back
to the other backend when available.</dd>


<dt>...</dt>
<dd>passed onto plotly</dd>

</dl>

generate_heatmap: Generate heatmap of data

Description

Usage

Value

Arguments

Examples