Skip to main content

Configure the Heatmap

Let's configure and run a gravity-based heatmap analysis to see accessibility patterns across your study area.

Watch the Walkthrough

Step-by-Step Instructions

1. Open the Toolbox

Click on ToolboxAccessibility IndicatorsHeatmap Gravity

2. Select Opportunities Layer

Choose the layer containing your destinations (opportunities). This could be:

  • Schools, hospitals, shops
  • Jobs, services, amenities
  • Any POI dataset

3. Configure Travel Settings

Transport Mode

Select how people travel to these opportunities:

ModeTypical Use Case
🚶 WalkingNeighborhood services (shops, schools)
🚴 CyclingDistrict-level amenities
🚌 Public TransitCity-wide services (jobs, hospitals)

Maximum Travel Time

Set the cutoff time. Destinations beyond this are considered "unreachable":

  • 10 min - Immediate neighborhood
  • 20 min - Extended walking/short cycling
  • 30 min - Transit commute
  • 45 min - Typical commute threshold

4. Choose Impedance Function

Select how travel time affects attractiveness:

Recommended: Start with Gaussian function with default sensitivity.

Gravity Heatmap Example

Example gravity-based heatmap showing accessibility patterns

5. Set Sensitivity Parameter

The sensitivity controls how quickly accessibility decays with distance:

SensitivityEffect
Low (300-400)Gradual decay, distant destinations still matter
Medium (200-300)Balanced decay
High (100-200)Sharp decay, only close destinations matter

6. Choose Output Resolution

Select the grid cell size for results:

  • H3 Resolution 8 - ~460m cells (city overview)
  • H3 Resolution 9 - ~174m cells (neighborhood detail)
  • H3 Resolution 10 - ~65m cells (high detail, slower)

7. Run the Analysis

Click Run and wait for GOAT to calculate accessibility scores for every cell in your study area.

Performance Note

Higher resolutions create more detailed maps but take longer to compute. Start with Resolution 9 for a good balance.

Understanding the Output

Your heatmap shows:

  • High values (warm colors) = Good accessibility
  • Low values (cool colors) = Poor accessibility
  • Grid cells = Consistent spatial units for comparison

Next Step

Your heatmap is ready! Let's learn how to interpret the results.


Progress: 2 of 4 steps completed