Hello MATLAB Community,
I am working with satellite data and want to produce a Hovmoller diagram (or heat map, as I like to think about it), with Latitude on my x-axis, Time on my y-axis, and a certain measurement (represented by 'AOD' in my code) represented by color. The satellite will keep returning to about the same Latitude over and over again. My Latitude values however are all unique, with minute differences between them. In the same way, my time values are also unique, with small differences on the order of seconds between them.
I have three vectors of the same size where a certain unique latitude is associated with a certain unique time which is associated with a certain measurement. I'd like to reshape my measurement vector into a matrix; here is my code thus far:
[ Latitude , time ] = meshgrid( Master_Latitude_screened_sorted , Master_Profile_Time_screened_sorted);
Master_AOD_screened_matrix = NaN(size( Latitude )) ;
AOD_grid = griddata(Master_Latitude_screened_sorted, Master_Profile_Time_screened_sorted, Master_AOD_screened_sorted, Latitude, time);
for i = 1:length(Master_Latitude_screened_sorted)
disp(i)
for j = 1:length(Master_Profile_Time_screened_sorted)
for k = 1:length(Master_AOD_screened_sorted)
if Master_Latitude_screened_sorted(k) == Latitude(i,j) && Master_Profile_Time_screened_sorted(k) == time(i,j)
Master_AOD_screened_matrix(i,j) = Master_AOD_screened_sorted(k);
end
end
end
end
Should producing a heat map from these vectors be possible? I understand that I likely have to turn my measurement vector into a matrix... is that possible considering I have all unique values of Latitude and Time? Do I need to round out my Latitude and Time values perhaps to the integer/daily scale so that the matrix can be formed?
Any help would be much appreciated!
Thanks.
