A Spatiotemporal Approach for Drought Monitoring Using Empirical Orthogonal Function (EOF) Analysis and Neural Networks

Mathematics

• Neural Network 100%
• Mean Square Error 50%
• Approximates 50%
• Truncation 50%
• Deep Learning Method 50%
• Singular Value 50%
• Singular Value Decomposition 50%
• Basis Function 50%
• Product Space 50%
• Mean Square 50%
• Dimensional Euclidean Space 50%
• Random Field 50%
• Cross-Validation 50%

Earth and Planetary Sciences

• Evapotranspiration 100%
• Empirical Orthogonal Function Analysis 100%
• Root-Mean-Square Error 33%
• Regional Geography 33%
• Seasonality 33%
• Weather Station 33%
• Covariance 33%
• Climate Cycle 33%
• Aridity 33%
• Euclidean Geometry 33%

Physics

• Neural Network 100%
• Deep Learning Method 50%
• High Resolution 50%
• Weather Station 50%
• Covariance 50%