A heat mapping tool is a feature that visualizes data by representing it with colors on a map. It's called "heat mapping" because the colors typically range from cool (such as blue or green) to hot (such as red or orange), indicating varying levels of density or intensity of the data shown. Heatmaps are perfect for quickly identifying patterns, trends, or concentrations within a dataset.
What is a Heat Mapping Tool?
Data Input
Add your location-based data (like customers, leads, facilities, or asset locations) into the mapping software.
Aggregation
The software aggregates the data points within predefined geographic areas, such as county, state, or ZIP codes. Or use your territory-based dataset as your building block.
Color Representation
The mapping software assigns colors to each geographic area based on the aggregated data. Areas with higher values or densities are represented with warmer colors (e.g., red or orange). In comparison, areas with lower values or densities are represented with cooler colors (e.g., blue or green).
Visualization
You can customize the color scheme, adjust the level of detail, and interact with the map to explore the data further.
How Do You Use the Heat Mapping Tool?
Sales, operations, marketing, urban planners, and public health use heat mapping tools to analyze spatial patterns and make data-driven decisions. They provide a visually intuitive way to understand geographic data and can help identify opportunities, trends, and areas for improvement.
eSpatial is capable of creating a hot spot heat map or regional heat map.
1. Hot spot heat map
Step 1
Select the + ADD DATA button.
Step 2
Select Upload new data and upload your spreadsheet.
Step 3
After your location data has been added to the map, click Style.
Step 4
Select the Heat Map switch.
Step 5
Configure your hotspot heat map settings. Click the disc icon and then click Exit Style.
Step 6
Example of a hotspot heatmap after it is configured.
2. Regional heat map
Step 1
Select the + ADD DATA button.
Step 2
Select Upload new data and upload your spreadsheet that contains locations data.
Step 3
After your locations data has been added to the map, click Analyze.
Step 4
Select the Regional Heatmap button.
Step 5
Dropdown field 1 will contain your locations/points dataset. You will need to select a regional dataset to measure the density of your locations data against.
For example, if you're locations data are all in the United States, you could select the US State data from the eSpatial datastore.
Step 6
Example of a regional heatmap after it is configured.
