MATLAB插值數據更有效地

我想要做以下的循環，使其更高效：MATLAB插值數據更有效地

data_Clim1 = griddata(lonClim, latClim, ice_Clim(:,:,1), X, Y); 
data_Clim2 = griddata(lonClim, latClim, ice_Clim(:,:,2), X, Y); 
data_Clim3 = griddata(lonClim, latClim, ice_Clim(:,:,3), X, Y); 
data_Clim4 = griddata(lonClim, latClim, ice_Clim(:,:,4), X, Y); 
data_Clim5 = griddata(lonClim, latClim, ice_Clim(:,:,5), X, Y); 
data_Clim6 = griddata(lonClim, latClim, ice_Clim(:,:,6), X, Y); 
data_Clim7 = griddata(lonClim, latClim, ice_Clim(:,:,7), X, Y); 
data_Clim8 = griddata(lonClim, latClim, ice_Clim(:,:,8), X, Y); 
data_Clim9 = griddata(lonClim, latClim, ice_Clim(:,:,9), X, Y); 
data_Clim10 = griddata(lonClim, latClim, ice_Clim(:,:,10), X, Y); 
data_Clim11 = griddata(lonClim, latClim, ice_Clim(:,:,11), X, Y); 
data_Clim12 = griddata(lonClim, latClim, ice_Clim(:,:,12), X, Y); 

% Add together matrices 
data_Clim = [data_Clim1; data_Clim2; data_Clim3; data_Clim4; ... 
    data_Clim5; data_Clim6; data_Clim7; data_Clim8; data_Clim9; ... 
    data_Clim10; data_Clim11; data_Clim12]; 

% Reshape to 3D matrix 
data_Clim = reshape(data_Clim, 1437, 159, 12);

基本上，我有一個矩陣，是360x161x12，我需要把它插至1437x159x12。但是，現在使用griddata，我一次只能插入一個z維。然後，我將所有單獨的矩陣（因爲每個月都有一個矩陣有12個）合併，並將其重新整形爲我需要的維度。

我假設一個while循環或for循環將不那麼繁瑣。

來源

2013-06-24 shizishan

嘗試類似：

dataClim = zeros(1437,159,12); // pre-allocation for speed 
for i=1:12 
    // Reshape each sub-matrix 
    dataClim(:,:,i) = reshape(griddata(lonClim, latClim, ice_Clim(:,:,i), X, Y),1437,159); 
end

來源

2013-06-24 17:43:17

MATLAB插值數據更有效地

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