how to interpret kernel density map?

03-25-2023 01:44 AM
New Contributor

As far as I understand, kernel density tool estimate PDF(probability density function) from a dataset. It means that we can estimate every cell's density using a dataset. 

How can I interpret when I obtain a kernel density map based on car accident points and some cells have high values? high values mean that there is a high possibility of an accident. Is it right? 


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MVP Esteemed Contributor
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