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Identification of heavily polluted areas based on a novel grey integrated incidence model: A case study of the Yangtze River Delta, China

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YimengAn/MATLAB_GTIIM

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MATLAB_GTIIM

Supplementary material related to the research paper titled:

Identification of heavily polluted areas based on a novel grey integrated incidence model: A case study of the Yangtze River Delta, China. Sustainable Cities and Society, 2023, 92: 106644.

This repository includes MATLAB code for the following:

(a) Grey Incidence Models GTIIM;
(b) Pearson Correlation Coefficient;
(c) Dynamic Time Warping method; and
(d) Kendalltau Coefficient.

Please refer to the respective directories for detailed implementation and usage instructions.

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Identification of heavily polluted areas based on a novel grey integrated incidence model: A case study of the Yangtze River Delta, China

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