Map Crime & Incident Hotspots Around Your Locations

Upload your incident records as an Excel file, CSV, or Google Sheet, and Maptive geocodes the addresses or reads lat/long columns to plot each one. Open the Heat Mapping Tool in Map Tools, keep the Marker Density style, and click Add Heat Map. A smooth density gradient forms over the incidents, warm where records pack together and cool where they thin out. Plot your own sites on top so the hot pockets read against each location, and adjust the radius and colors until the concentration is easy to follow.

Drop a ring on the site through Distance Radius Circles and set Proximity Within to the distance you want, such as one mile. Click the ring and open Customize Metrics, then add a Group Count of your incident rows under Spreadsheet Data, and the pop-out returns how many fall inside. You can also sum a severity column for a weighted total in the same read, then export the incidents inside the ring to a spreadsheet so a report lists each event by name.

Yes. Public crime and incident portals usually let you download records as a CSV with a street address or lat/long coordinates, and that file uploads to Maptive as is. Geocoding corrects messy addresses and fills missing ZIPs, and lat/long columns plot straight to the marker. From there the same tools apply, so you heat the download into hotspots, color it by offense type, and count what falls near a site, turning a raw public export into a mapped read in a first session.

In the Heat Mapping Tool, choose the Represents Numerical Data style rather than Marker Density and point it at a numeric column, such as a severity score or an incident weight. The gradient then runs by that value instead of raw point count, so an area with a few heavy events reads hotter than an area with many minor ones. This separates volume from seriousness on the same map, and you can lay the plain density heat beside the weighted one to compare the two reads.

Yes. Open the Grouping Tool, pick the category column such as offense type, priority, or source, and each incident takes a color for its group. The tool builds a legend, so assault, theft, and vandalism read apart without opening a single pin. Layer these colored markers over the heat map and you read concentration and category together, which helps an analyst tell a cluster of minor reports from a pocket of serious events.

Ring the site with Distance Radius Circles, then click the ring and open Customize Metrics to count the incidents inside with a Group Count. To ring several sites at once, set Apply To Group and Maptive draws the same-size ring around every marker in that group, so you size proximity across a portfolio on one basis. Each ring reads its own count, and you can export the incidents inside every ring for a combined list.

No. The Drive Time Polygon is based on perfect driving conditions, not live or historical traffic. It maps a steady reach around a site, so the same address returns the same area every time rather than moving with the hour of the day. That makes it a dependable base for a response-area view, where you want a consistent read of the ground a team covers. Set the time in hours and minutes, and test a 5-minute reach against a 10-minute reach around the same site.

Yes. A radius and a drive-time polygon both export the incident rows that fall inside them to xlsx, tsv, csv, or the clipboard. For one circle, use the kebab menu and Export Locations. For every circle at once, use Export File. You choose straight-line or driving distance, records inside or outside the shape, and a closest-circle option when rings overlap. A drive-time polygon can also export the ZIP codes or counties inside it, so a briefing hands off both the incident list and the boundaries.

Maptive plots up to 200,000 markers on a single map using WebGL and the Google Maps Platform, so a long incident history maps without thinning the file first. Because a heat map reads density rather than each point, a heavy file often reads more plainly as a gradient than as a wall of markers. To focus a dense map, heat one category on its own with Marker Density for a Specific Group, or apply the Filter Tool while the heat layer holds steady.

No. Every step is a menu choice, so an analyst builds the map from dropdowns and sliders without GIS training or code. Upload a plain incident export, plot it, click Add Heat Map, and set the radius and colors. Geocoding handles messy addresses and lat/long columns for you, and Customize Metrics builds the proximity count from dropdowns. Most people have a working hotspot map and a first site count in their opening session, and the US and Canada support team answers in under 15 minutes.