How to adjust orientation of 2 maps?

I have attached the data file,'ssh.nc'. I used the following code to obtain regression coefficients between 'bottomT' and 'zos' variables. After which I plotted the coefficients on a map (map1.jpg). I then tried to overlay this map with the world map from the landareas.shp (landonmap1.jpg). Hoowever, the orientation of both maps are not equal. I have used the following code:

lat = ncread('ssh.nc','latitude');
lon = ncread('ssh.nc','longitude');
ssh = ncread('ssh.nc','zos');
t = ncread('ssh.nc','bottomT');
nx=length(lon);
ny=length(lat);
rxy = zeros(nx,ny) ; 
sxy = zeros(nx,ny) ;
>> for i=1:nx
    for j=1:ny
        [r,s] = corr(squeeze(t(i,j,:)),squeeze(ssh(i,j,:)));
        rxy(i,j)=r;
        sxy(i,j)=s;
    end
end
>> pcolor(lon,lat,rxy) ;
shading interp
colorbar
drawnow
hold on
geoshow('landareas.shp', 'FaceColor', [0.15 0.5 0.15])

I tried using view(90, -90) but still face a problem. I would be grateful to receive assistance in this.

Answer 1

[KSSV]

Try transposing your data while plotting the data.

[Keegan Carvalho]

Thanks KSSV! By the way I have another question regarding the final image. I attached the final output.There appears to be some white pixels, maybe noise which reduces the aesthetics of the output (it's more like a personal viewing preference). I tried looking at some previous questions on the MATLAB community but they're a little different than my requirement.

And I need to remove the white pixels before exporting as an image.

How do I remove it?

[KSSV]

Try like below:

h = pcolor(lon,lat,rxy) ;
h.EdgeColor = 'none'
colorbar
drawnow
hold on
geoshow('landareas.shp', 'FaceColor', [0.15 0.5 0.15])

[Keegan Carvalho]

I tried the above code and got a minor change. Still a lot of the white pixels.

Could it be becasue of the data?

[KSSV]

Try this:

rxy = fillmissing(rxy,'nearest') ;
h = pcolor(lon,lat,rxy) ;
h.EdgeColor = 'none'
colorbar
drawnow
hold on
geoshow('landareas.shp', 'FaceColor', [0.15 0.5 0.15])

[KSSV]

Attach your data...

[Keegan Carvalho]

I tried the above code and it worked! Thanks once again KSSV