Aino offers the capability to calculate point density using a built-in spatial index based on the H3 hexagons library developed by Uber. This hierarchical spatial index facilitates efficient analysis of spatial data. Here's how to create an index:
Build spatial index for /Dataset
The result:
You can customize the grid size and colors of the cells:
Build index for /Dataset with grid size 9
Build index for /Dataset with green and blue colors
For further information about the H3 grid, check out this link.
AI-powered tool for urban consultants, data analysts, and spatial planners to gain insights from spatial data without requiring engineering skills.
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