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I'm new to spatial data analysis, so bear with me. I know that heatmaps are a data visualization tool, but is there a way to use heatmaps to not only visualize the data, but to provide some kind of numerical and quantifiable output that I can later use.

For example, just to make my question clearer. The image below is a heatmap that represents the density and distribution of spatial points on the colored black line. By just looking at the image, I can tell that most points are at the start of the line, there are a few in the middle and none at the end. I came to this conclusion by looking at the image. Is there a way I can analyze the data differently to yield some numerical value or function?

How do I extract the points from my dataset that represent that dark red area? or is that not possible with heatmaps? If it's not possible I'd really appreciate directing towards tools/algorithms that would help.

enter image description here

HR1
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    How did you make the heatmap? Presumably you passed some data to some function. Chances are you should be able to extract what you need from the raw data. It's easier to help you if you include a simple [reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) with sample input and desired output that can be used to test and verify possible solutions. – MrFlick Jun 07 '21 at 04:48

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