2.Spatial distribution of the relationship between vegetation growth and water availability across China over the past three decades

2. Spatial distribution of the relationship between vegetation growth and water availability across China over the past three decades<i>a. Spatial distribution of the Spearman’s rank correlation coefficient (r-value) between the Normalized Difference Vegetation Index (NDVI)/Leaf Area Index (LAI)/Gross Primary Productivity (GPP) and the Palmer Drought Severity Index (PDSI) for the 1982–2015 period</i>This includes the Spearman’s rank correlation coefficient (<i>r</i>-value) of mean growing-season (e.g., <b>NDVI_PDSI_Spearman_R.tif</b>), maximum growing-season (e.g., <b>NDVI_Max_PDSI_Spearman_R.tif</b>), detrended mean growing-season(e.g., <b>dNDVI_PDSI_Spearman_R.tif</b>), and detrended maximum growing-season (e.g., <b>dNDVImax_PDSI_Spearman_R.tif</b>) NDVI/LAI/GPP values with PDSI for each grid cell over all over the globe. You can use the "<b>China_vegetation_cover_map.tif</b>" in the dataset "1.Spatiotemporal patterns of vegetation growth across China over the past three decades" to extract the part of China.<i>b.</i><i> </i><i>The MATLAB (R2023a) code for calculating </i><i>the </i><i>Spearman’s rank correlation coefficient between </i><i>NDVI/LAI/GPP </i><i>and P</i><i>DSI </i><i>for each </i><i>grid cell</i>This includes "<b>Correlation_Spearman.m</b>" for calculating the Spearman’s rank correlation coefficient (<i>r</i>-value) between NDVI/LAI/GPP and PDSI for each grid cell.