[Scilab-users] 2D Density plot

[Stéphane Mottelet]

Hello,

You could estimate your density by using kernels

https://en.wikipedia.org/wiki/Kernel_density_estimation

and then sample the continuous density to assign a value to each point.

S.

Le 13/02/2020 à 12:31, arctica1963 a écrit :
> Hello all,
>
> I was wondering if it is possible to generate a 2D density plot from
> scattered data to highlight areas with a higher concentration of points
> compared to others?
>
> <https://antispam.utc.fr/proxy/1/c3RlcGhhbmUubW90dGVsZXRAdXRjLmZy/mailinglists.scilab.org/file/t495709/Subsidence_plot.png>
>
> The image shows a subsidence plot with theoretical curves and real data
> overlaid. It would be nice to have a way to colour the density of points,
> but leave areas with zero density blank.
>
> In GIS software (e.g. ArcMap or QGIS) this would be defined using a
> "Heatmap" based on a search radius around each data point.
>
> Any ideas?
> Thanks
>
>
>
>
> --
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-- 
Stéphane Mottelet
Ingénieur de recherche
EA 4297 Transformations Intégrées de la Matière Renouvelable
Département Génie des Procédés Industriels
Sorbonne Universités - Université de Technologie de Compiègne
CS 60319, 60203 Compiègne cedex
Tel : +33(0)344234688
http://www.utc.fr/~mottelet