gsClusterDetect

gsClusterDetect-package

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.

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

Utilities for Geo-Spatial Cluster Detection and Significance
Classification

Howard Burkom

gsClusterDetect-package function

Maintainer: Luke Mullany <a href="/link/luke.mullany%40jhuapl.edu?package=gsClusterDetect&version=1.0.0" data-mini-rdoc="gsClusterDetect::luke.mullany@jhuapl.edu">luke.mullany@jhuapl.edu</a>
Authors:<ul>
<li>Howard Burkom</li>
</ul>

Author

gsClusterDetect: Utilities for Geo-Spatial Cluster Detection and Significance Classification — gsClusterDetect-package

Maintainer: Luke Mullany <a href='mailto:luke.mullany@jhuapl.edu'>luke.mullany@jhuapl.edu</a>
Authors:<ul>
<li>Howard Burkom</li>
</ul>

gsClusterDetect-package: gsClusterDetect: Utilities for Geo-Spatial Cluster Detection and Significance Classification

Description

Arguments

Author

See Also