.numeric_location_coords

Helper function reduces a data frame to only those rows where latitude
and longitude are not missing

internal

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

.numeric_location_coords function

<dl><dt>locs</dt>
<dd>A <code>data.table</code> with <code>latitude</code> and <code>longitude</code>
columns.</dd></dl>

Arguments

Helper function reduces a data frame to only those rows where latitude
and longitude are not missing — .numeric_location_coords

<dl>

<dt>locs</dt>
<dd>A <code>data.table</code> with <code>latitude</code> and <code>longitude</code>
columns.</dd>

</dl>

.numeric_location_coords: Helper function reduces a data frame to only those rows where latitude and longitude are not missing

Description

Usage

Value

Arguments