Building multi-scale rectangular grids based on raster zonal statistics.

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Dear all,
I am using some algorithm of my own for building multi-scale rectangular grids with a refinement depth based on zonal statistics performed on a raster (e.g. all grid cells whose sum of pixels values is above a given threshold are refined), as illustrated below
I was wondering if any of you knew a powerful library or algorithm for doing this kind of operations in MATLAB (I am currently doing this in both MATLAB and ArcGIS/Python for comparing), because my algorithm is starting to be slow with e.g. 8000x4000 rasters.
Thank you and best regards,

Answers (1)

Jan on 29 Apr 2013
I've used a leap frog algorithm, see e.g. "Structured adaptive mesh refinement using leapfrog time integration on a staggered grid for ocean models" Ocean Modelling 9 (2005) 283–304, doi:10.1016/j.ocemod.2004.07.002 . But unfortunately this was an experimental program only, which had an advantage compared to using a fine mesh only, when the coarse mesh avoid disk swapping.
I assume you know adaptmesh already, but perhaps this tip it might be useful other readers.
  1 Comment
Cedric Wannaz
Cedric Wannaz on 3 May 2013
Edited: Cedric Wannaz on 3 May 2013
Hi Jan, thank you for your answer and sorry for the belated reply! The issue with adaptmesh and related functions is that it is difficult to use them for generating rectangular multi-scale grids like mine, but thank you for your reference; I didn't know this article actually and I am placing it right now in the pipe of the articles that I have to read during the upcoming week!

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