Overview: Package Purpose | Package functionality | Technical Requirements to Enable Cluster Detection in User Data | Distance Structures for Geographic Scanning | Full Distance Matrix Functions: | Limited Distance Lists | Main Wrapper: find_clusters() | Preparing Inputs | Key Parameters in find_clusters() | Required: | Optional: | Running find_clusters() | Built-In Spline Tables and Example Data | Example Cluster Map | Summary and Plotting Utilities

Overview | Types of Distance Objects: | Square pairwise distance matrices | Example: county distance matrix: | Example: zip code distance matrix: | Example: tract distance matrix: | Custom Distance Matrices | Distance Lists | Custom Distance Lists | Other Functions

Overview | Functions called by find_clusters() | Example Usage:

Overview: Creation of artificial target signals | Available options for signal injections | Generating Cluster Signals for Detection | Example Cluster Signal Generation | Example with multiple artificial signals