Liao, T.; Wang, J.; Zhou, S.; Zhang, Z.; Qiao, Q.; Zhou, K.; Bi, J.; Wang, W.; Zhang, Q.; Li, C.;
et al. A Multi-Constraint Framework for Geochemical Anomaly Detection Based on Compositional Data Analysis and Spatial Statistics: Implications for Copper Mineralization in Eastern Tianshan. Minerals 2026, 16, 694.
https://doi.org/10.3390/min16070694
AMA Style
Liao T, Wang J, Zhou S, Zhang Z, Qiao Q, Zhou K, Bi J, Wang W, Zhang Q, Li C,
et al. A Multi-Constraint Framework for Geochemical Anomaly Detection Based on Compositional Data Analysis and Spatial Statistics: Implications for Copper Mineralization in Eastern Tianshan. Minerals. 2026; 16(7):694.
https://doi.org/10.3390/min16070694
Chicago/Turabian Style
Liao, Tao, Jinlin Wang, Shuguang Zhou, Zhixin Zhang, Qingqing Qiao, Kefa Zhou, Jiantao Bi, Wei Wang, Qing Zhang, Chao Li,
and et al. 2026. "A Multi-Constraint Framework for Geochemical Anomaly Detection Based on Compositional Data Analysis and Spatial Statistics: Implications for Copper Mineralization in Eastern Tianshan" Minerals 16, no. 7: 694.
https://doi.org/10.3390/min16070694
APA Style
Liao, T., Wang, J., Zhou, S., Zhang, Z., Qiao, Q., Zhou, K., Bi, J., Wang, W., Zhang, Q., Li, C., Jiang, G., Ma, X., Bai, Y., Li, D., Zhao, C., & Qiu, H.
(2026). A Multi-Constraint Framework for Geochemical Anomaly Detection Based on Compositional Data Analysis and Spatial Statistics: Implications for Copper Mineralization in Eastern Tianshan. Minerals, 16(7), 694.
https://doi.org/10.3390/min16070694
