The Crime Analysis and Safety toolbox contains tools that support analytical functions to manage data, select crime incidents, conduct tactical and strategic analysis, and investigate crime patterns.
Conducts an 80/20 analysis of features and determines cluster locations by creating a graduated symbol layer based on the number of incidents occurring at each location. The tool calculates a cumulative percentage field to identify the locations where incidents are disproportionately occurring.
Adds fields containing date or time properties from an input date field, for example, day full name, day of the month, month, and year.
Creates a 3D feature class using date values from input features.
Identifies matches between two feature classes based on proximity, time extent, or both.
Joins attributes from input polygon features to input point features.
Selects records based on date and time ranges or date properties, for example, single date, time range, time period, days of the week, month, or year.
Creates a feature class with coincident point counts. Coincident point counts for line and point features are determined by a specified maximum distance. Point counts for polygon features are determine by whether point features or portions of features overlap with the polygon feature.
Calculates the percent change for features that correspond with point features representing two equal comparison time periods.
Converts a nonspatial table to point features based on x,y-coordinates or street addresses and updates an existing dataset with the new or updated record information from the table.
The Cell Phone Analysis toolset contains a set of tools that can be used to map and analyze cell phone activity using cell phone records, cell site points, and sector polygons.