- Create a polyshape for each voronoi cell.
 - Loop over cells and test isinterior for each, you can short circuit when you find a match. To be even smarter, you could calculate distance to each cell's centroid using pdist or hypot, sort it ascending, and start testing isinterior in that order.
 
How to partition (discretize) the space around points using Voronoi Diagram?
    8 visualizzazioni (ultimi 30 giorni)
  
       Mostra commenti meno recenti
    
I have a problem:
The plot shows a 399 cities locations and the Voroni Diagram (in latitude and longitude coordinates).
The question is, if a have a new coordinate pair and I want to assign it to some os the 399 cities how to find out which Voronoy cell it is in?
The coordinates file are attached.

Thanks in advance!
0 Commenti
Risposta accettata
  Sean de Wolski
      
      
 il 24 Apr 2020
        
      Modificato: Sean de Wolski
      
      
 il 24 Apr 2020
  
      NOTE: You should really project your lat/lon data into a cartesian coordinate system.  Lat/Lon are measured on the surface of a sphere so the lengths of the voronoi cell edges are not in a linear unit.  Look at mfwdtran or https://www.mathworks.com/help/map/ref/map.rasterref.geographiccellsreference.geographictointrinsic.html 
Più risposte (0)
Vedere anche
Categorie
				Scopri di più su Voronoi Diagram in Help Center e File Exchange
			
	Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!