dataset and codes for the submission of "A Study of AI-driven Knowledge Distillation for Efficient Geospatial Modeling"

This zip file includes all codes and data for the journal submission. Basic Descriptive Statistics of Boston Housing Dataset Mean and Standard Error of all Variables Variables Mean Std. Error CRIM 3.61187 0.3955 ZN 11.21 1.0609 INDUS 11.08 0.3100 CHAS 0.0699 0.0115 NOX 0.5547 0.0051 RM 6.285 0.0312 AGE 68.52 1.2700 DIS 3.795 0.0936 RAD 9.549 0.3870 TAX 408.2 7.4923 PTRATIO 18.46 0.09624 B 356.67 4.0585 LSTAT 12.715 0.3245 MEDV 22.53 0.4088 Basic Descriptive Statistics of Rustbelt States Dataset Mean and Standard Error of all Variables Variables Mean Std. Error ALWAYS 4.484305e-12 0.03866 Housi_Unit 5.979074e-12 0.03866 Education 2.989537e-12 0.03866 Income -2.989537e-12 0.03866 elect_ults 5.979072e-12 0.03866 cases -2.989539e-12 0.03866 deaths 6.726457e-11 0.03866 Urate 1.345291e-11 0.03866