Creating 2D Matrix from latitude/longitude values
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I have three 1D arrays of the same dimensions (14114 x 1): latitude, longitude, and radar reflectivity. The 1D arrays are not sorted in any particular way (i.e., by latitude or longitude). Here are sample values for the first three elements:
latitude (1,1): 29.28
longitude (1,1): -92.5
radar (1,1): 25
latitude (2,1): 29.5
longitude (2,1): -88.48
radar (2,1): 22.5
latitude (3,1): 29.5
longitude (3,1): -88.06
radar (3,1): 20.5
I need to create a 2D lat/lon matrix containing the radar values from the 1D array that spans from longitude [-92.5:0.02:-87.5] in the X and latitude [27.2:0.02:32] in the Y, but has the appropriate radar reflectivity value from the 1D radar array. Lat/lon pairs not in the 1D radar array should be stored as 0 in the 2D matrix.
Appreciate any help you can provide.
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KSSV
2021-10-2
Let (x,y,r) be your lon,lat, radar reflectivity values in column.
xi = -92.5:0.02:-87.5 ;
yi = 27.2:0.02:32 ;
[X,Y] = meshgrid(xi,yi) ;
F = scatteredInterpolant(x,y,r) ;
R = F(X,Y) ;
pcolor(X,Y,R) ;
shading interp ;
colorbar
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KSSV
2021-10-3
You can use knnsearch to find the nearest points, assign values to these and rest to zeros.
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