Basic Examples (5) 

Create a list of random 2D points:

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Bin the points:

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Bin the points and get the tile centers as keys:

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Plot points and square bins:

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Plot points and rectangle bins:

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Scope (4) 

Associate random values to 2D data:

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Bin the data rules:

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Bin the keys of the data rules:

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Check the equivalence:

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Options (3) 

AggregationFunction (2) 

Bin the data rules and compute average values on each tile:

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Compare with the default option value, Total:

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PolygonKeys (1) 

Instead of polygons as keys, you can get the centers of the polygons:

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Applications (6) 

Data visualization (4) 

Generate data rules:

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Here we bin the data:

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Plot points and square bins by coloring each square according to its aggregated value:

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Repeat the visualization above with rectangular tiles instead of square ones:

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Make a rectangular grid (2) 

You can make rectangular grids:

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The coordinates of the polygons can be retrieved and transformed further:

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Properties and Relations (3) 

The repository function HextileBins has similar design and implementation as TileBins. Here are comparison examples:

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The function GeoHistogram produces similar plots (in Version 12.1):

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The function GridGraph can be also used to make rectangular grids:

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Here are the corresponding coordinates:

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Here are the corresponding polygons:

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Make a similar grid with TileBins:

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Here are the corresponding coordinates:

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Neat Examples (1) 

Bin data and summarize the values associated to bin centers:

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