Storing neighboring coordinates within a sphere from a 3D domain.
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Hi,
I wish to be able to form connections between nodes that are within a specified distance apart in 3D space.
~
So far I have created a script that generates coordinates for random nodes within a 3D domain. The coordinates are stored in an N x 3 array, where (:,1) refers to the x axis, (:,2) refers to the y axis, (:,3) refers to the z axis and N refers to the number of nodes.
I wish to take node 40 for example (see below), and identify all of the other nodes that are within a sphere (of radius r) that surrounds it. It can be seen that, to name a few, nodes 5, 7, 10, 15 and 51 lie within this region.
My ideal output would be an array with 2 columns that stores the node number of each of these nodes. For the given example, the desired output would be X = [40, 5; 40, 7; 40, 10; 40, 15; 40, 51 ...]
Any help would be appreciated, please find the code attached.
Sam
I have generated the sphere using the method suggested by 'Image Analyst'.
0 commentaires
Réponse acceptée
Cedric
le 5 Oct 2017
Modifié(e) : Cedric
le 5 Oct 2017
Use PDIST2 and get points within a distance smaller (or equal) to the center (node) than the radius.
EDIT : here is a quick example, where we have 4 nodes and we are interested in building a cell array of nodes (IDs) that are within in radius 2 of two centers:
>> dNodes2Centers = pdist2( [1,0,0; 0,2,0; 0,0,3; 1,1,0], [0,0,0; 0,1,0] )
dNodes2Centers =
1.0000 1.4142
2.0000 1.0000
3.0000 3.1623
1.4142 1.0000
>> [r, c] = find( dNodes2Centers < 2 ) ; % R = 2, exclude boundary (<).
>> nodeIdsPerCenter = accumarray( c, r, [], @(x){x} ) ; % Group per center.
which builds:
>> celldisp( nodeIdsPerCenter )
nodeIdsPerCenter{1} =
1
4
nodeIdsPerCenter{2} =
1
2
4
2 commentaires
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et File Exchange
Produits
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!