Use Case

GIS Crime Mapping and Analysis

GIS crime mapping translates incident data, response time logs, and patrol coverage into spatial deliverables that inform deployment, accountability, and community communication. GeoLever delivers crime mapping engagements through ArcGIS Pro for analysis and ArcGIS Online plus ArcGIS Dashboards for distribution. Pricing runs $2,500 to $15,000 depending on agency size, deliverable scope, and engagement model.

Most law enforcement agencies sit on top of rich incident geodatabases that almost nobody outside the agency can see. The analytical capacity exists. The communication and transparency layer that connects that capacity to councils, community groups, and the public is often missing.

We design crime mapping engagements around the audience for the output. Internal command staff need hot-spot patterns and response time visibility. Councils and oversight bodies need accountable dashboards that survive scrutiny. Community groups need clear, calm communication about what is happening in their neighborhoods.

Common Challenges

Where Crime Mapping Projects Struggle

Most crime mapping engagements run into the same handful of problems.

Internal Analytics Without Distribution

Crime analysis units produce hot-spot maps, response time studies, and patrol coverage analyses that stay inside the agency. Command staff and elected officials get summaries instead of interactive deliverables.

Public Transparency Pressure

Councils, oversight boards, and community groups expect accountable, public-facing crime data dashboards. Agencies struggle to publish that data in a way that holds up to scrutiny without misinterpretation.

Geocoding Quality Issues

Incident geocoding accuracy varies by address quality and dispatch workflow. Without a deliberate geocoding pipeline, hot-spot analyses get distorted and patrol decisions get made on bad spatial data.

Hot-Spot Methodology Confusion

Agencies use kernel density, Getis-Ord Gi*, and DBSCAN methods inconsistently, with results that vary based on bandwidth and parameter choices. Decision-makers cannot tell which patterns are real.

Response Time Accountability

Response time analysis combines CAD data, beat boundaries, and travel network analysis. Producing defensible response time reports for elected officials and oversight bodies requires structured spatial methodology.

How We Deliver

GeoLever's Approach to Crime Mapping

We design every crime mapping project around the decision it needs to support.

Hot-Spot Analysis with Defensible Methodology

Multi-method hot-spot analysis in ArcGIS Pro using kernel density, Getis-Ord Gi*, and DBSCAN with documented bandwidth selection, parameter rationale, and confidence interpretation.

Public Transparency Dashboards

Build ArcGIS Dashboards that publish incident counts, response time aggregates, and patrol coverage metrics in formats that hold up to council, journalist, and community scrutiny.

Geocoding Pipeline Design

Configure incident geocoding pipelines with address standardization, locator selection, and quality flags that feed clean spatial data into analytical and reporting environments.

Response Time and Beat Analysis

ArcGIS Network Analyst studies combining CAD data, beat boundaries, and roadway networks to produce defensible response time analyses for command staff and oversight bodies.

Community-Facing StoryMaps

Build StoryMaps that communicate crime patterns, response programs, and community engagement work in formats designed for residents and community organizations.

What You Get

Crime Mapping Deliverables

Decision-ready outputs designed for the people who will actually use them.

Internal Hot-Spot Dashboard

An internal ArcGIS Dashboard for command staff and crime analysts with hot-spot patterns, temporal trends, and response time visibility tied to beat boundaries and patrol assignments.

Public Transparency Dashboard

A public-facing ArcGIS Dashboard publishing incident counts, response time aggregates, and patrol coverage metrics with clear methodology disclosure and refresh cadence.

Methodology and Geocoding Documentation

Complete documentation of geocoding pipelines, hot-spot methodology, bandwidth selection, and analytical assumptions so analyses can be defended, replicated, and updated.

GeoStory / GeoConsult · $2,500 to $15,000

Published pricing for crime mapping

Community-facing StoryMaps typically run $2,500 to $7,500 under GeoStory. Internal hot-spot dashboards, public transparency dashboards, and methodology engagements run $5,000 to $15,000 under GeoConsult.

Frequently Asked

Crime Mapping: FAQ

Do you handle the underlying CAD or RMS systems?

No. We work with extracted data from CAD, RMS, and similar agency systems. We design the spatial analysis, geocoding pipeline, and reporting deliverables on top of those extracts.

Can you build public-facing crime transparency dashboards?

Yes. We build dashboards that publish incident counts, response time aggregates, and patrol coverage metrics in formats designed to hold up to public, council, and journalist scrutiny.

How do you handle privacy and sensitive incident data?

We work with aggregated and de-identified data for public-facing outputs. Sensitive incident-level data stays inside the agency. Engagement scope confirms what is internal-only and what is publishable.

How long does a crime mapping engagement take?

Public-facing StoryMaps typically complete in three to six weeks. Internal hot-spot and response time dashboards run six to ten weeks depending on data preparation scope.

How much does GIS crime mapping cost?

GeoStory StoryMaps run $2,500 to $7,500. GeoConsult dashboards and methodology engagements run $5,000 to $15,000.

Do you work with smaller agencies or only larger departments?

Both. Small and mid-size agencies often benefit most because they have the data but lack senior crime mapping capacity. Engagement scope and pricing adapt to agency size.

Book a discovery call to scope your crime mapping project. We will confirm audience, data sources, methodology, and a fixed price.

Free 30-minute call. We will discuss scope, source data, and whether GeoLever is the right fit.