Using griddata, you can mesh out your current dataset into a grid:
latmin = min(lat_piomas); latmax = max(lat_piomas); lonmin = min(lon_piomas); lonmax = max(lon_piomas); gridSize = [100 200]; latvec = linspace(latmin, latmax, gridSize(1)); lonvec = linspace(lonmin, lonmax, gridSize(2)); [LatQ LonQ] = ndgrid(latvec, lonvec); ThickQ = griddata(lon_piomas, lat_piomas, thickness, LonQ, LatQ);
From there, it's a simple matter to show the data in whichever format you like:
figure axesm('mercator', 'MapLonLimit', [0 360]) geoshow(LatQ, LonQ, ThickQ, 'DisplayType', 'surface')
And if you want to get real fancy, you can use topological data to show the elevation of the surface, while using the color to show the "thickness" data. Here's an example using built-in example topography data:
% Get example topography data load topo topo topolatlim topolonlim Rtopo = georefcells(topolatlim, topolonlim, size(topo)); ElevQ = geointerp(topo, Rtopo, LatQ, LonQ, 'cubic'); % Display the surface figure axesm('mercator', 'MapLonLimit', [0 360]) geoshow(LatQ, LonQ, ElevQ, 'DisplayType', 'surface', 'CData', ThickQ) daspectm('m', 1000) % To exaggerate the height of the topography
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