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 -- Sent from: https://antispam.utc.fr/proxy/1/c3RlcGhhbmUubW90dGVsZXRAdXRjLmZy/mailinglists.scilab.org/Scilab-users-Mailing-Lists-Archives-f2602246.html _______________________________________________ users mailing list [email protected] https://antispam.utc.fr/proxy/1/c3RlcGhhbmUubW90dGVsZXRAdXRjLmZy/lists.scilab.org/mailman/listinfo/users
-- 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 _______________________________________________ users mailing list [email protected] http://lists.scilab.org/mailman/listinfo/users
