Codes for "Assessing response of water footprint of maize production to drought in China: different climate scenarios and irrigation strategies".

Key codes related to analysis and generate the main figures in the paper "Assessing response of water footprint of maize production to drought in China: different climate scenarios and irrigation strategies". Additionally, some figures were created using ArcGIS and OriginPro; therefore, no corresponding code is available for these figures. Specific descriptions of the codes are provided below: Correlation.py: Analyze the correlation between the water footprint of corn production and the drought index.Probability distribution.py: Conditional probability distribution under different climate scenarios.Sensitivity analysis.mat: Relative sensitivity of Y and ETc to drought.Figure 8.py: Circular heat map of the correlation coefficient between water footprint and drought under different climate scenarios.Figure 9.py: Two-dimensional normal distribution probability density surface.