Detection of Multivariate Geochemical Anomalies Using the Bat-Optimized Isolation Forest and Bat-Optimized Elliptic Envelope Models

Yongliang Chen; Shicheng Wang; Qingying Zhao; Guosheng Sun

doi:10.1007/s12583-021-1402-6

Volume 32 Issue 2

Apr 2021

Turn off MathJax

Article Contents

Journal of Earth Science > 2021 > 32(2): 415-426.

Yongliang Chen, Shicheng Wang, Qingying Zhao, Guosheng Sun. Detection of Multivariate Geochemical Anomalies Using the Bat-Optimized Isolation Forest and Bat-Optimized Elliptic Envelope Models. Journal of Earth Science, 2021, 32(2): 415-426. doi: 10.1007/s12583-021-1402-6

Citation:

Yongliang Chen, Shicheng Wang, Qingying Zhao, Guosheng Sun. Detection of Multivariate Geochemical Anomalies Using the Bat-Optimized Isolation Forest and Bat-Optimized Elliptic Envelope Models. Journal of Earth Science, 2021, 32(2): 415-426. doi: 10.1007/s12583-021-1402-6

Citation:

Yongliang Chen, Shicheng Wang, Qingying Zhao, Guosheng Sun. Detection of Multivariate Geochemical Anomalies Using the Bat-Optimized Isolation Forest and Bat-Optimized Elliptic Envelope Models. Journal of Earth Science, 2021, 32(2): 415-426. doi: 10.1007/s12583-021-1402-6

PDF( 4534 KB)

Detection of Multivariate Geochemical Anomalies Using the Bat-Optimized Isolation Forest and Bat-Optimized Elliptic Envelope Models

doi: 10.1007/s12583-021-1402-6

1.
College of Earth Sciences, Jilin University, Changchun 130061, China
2.
Institute of Mineral Resources Prognosis on Synthetic Information, Jilin University, Changchun 130026, China

More Information

Corresponding author: Chen Yongliang, chenyongliang2009@hotmail.com
Received Date: 23 Sep 2020
Accepted Date: 27 Nov 2020
Publish Date: 01 Apr 2021

Abstract

Abstract

Isolation forest and elliptic envelope are used to detect geochemical anomalies, and the bat algorithm was adopted to optimize the parameters of the two models. The two bat-optimized models and their default-parameter counterparts were used to detect multivariate geochemical anomalies from the stream sediment survey data of 1:50 000 scale collected from the Helong district, Jilin Province, China. Based on the data modeling results, the receiver operating characteristic (ROC) curve analysis was performed to evaluate the performance of the two bat-optimized models and their default-parameter counterparts. The results show that the bat algorithm can improve the performance of the two models by optimizing their parameters in geochemical anomaly detection. The optimal threshold determined by the Youden index was used to identify geochemical anomalies from the geochemical data points. Compared with the anomalies detected by the elliptic envelope models, the anomalies detected by the isolation forest models have higher spatial relationship with the mineral occurrences discovered in the study area. According to the results of this study and previous work, it can be inferred that the background population of the study area is complex, which is not suitable for the establishment of elliptic envelope model.
- bat algorithm,
- isolation forest,
- elliptic envelope,
- receiver operating characteristic curve analysis,
- geochemical anomaly detection

FullText(HTML)

References(32)

References

Breunig, M. M., Kriegel, H. P., Ng, R. T., et al., 2000. LOF: Identifying Density-Based Local Outliers. ACM SIGMOD Conference 2000, Dallas

Chai, S. L., Liu, Z. H., 2015. Experimental Demonstration on 1: 50000 Scale Mineral Geology Survey of Four Geological Maps in the Helong Area, Jilin Province. Mineral Geology Survey Report (Internal Communication), Jilin University, Changchun. 205(in Chinese)

Chen, Y. L., Lu, L. J., Li, X. B., 2014a. Kernel Mahalanobis Distance for Multivariate Geochemical Anomaly Recognition. Journal of Jilin University (Earth Science Edition), 44(1): 396-408(in Chinese) http://en.cnki.com.cn/Article_en/CJFDTOTAL-CCDZ201401040.htm

Chen, Y. L., Lu, L. J., Li, X. B., 2014b. Application of Continuous Restricted Boltzmann Machine to Identify Multivariate Geochemical Anomaly. Journal of Geochemical Exploration, 140: 56-63. https://doi.org/10.1016/j.gexplo.2014.02.013

Chen, Y. L., 2015. Mineral Potential Mapping with a Restricted Boltzmann Machine. Ore Geology Reviews, 71: 749-760. https://doi.org/10.1016/j.oregeorev.2014.08.012

Chen, Y. L., Wu, W., 2016. A Prospecting Cost-Benefit Strategy for Mineral Potential Mapping Based on ROC Curve Analysis. Ore Geology Reviews, 74: 26-38. https://doi.org/10.1016/j.oregeorev.2015.11.011

Chen, Y., Wu, W., 2017a. Mapping Mineral Prospectivity by Using One-Class Support Vector Machine to Identify Multivariate Geological Anomalies from Digital Geological Survey Data. Australian Journal of Earth Sciences, 64(5): 639-651. https://doi.org/10.1080/08120099.2017.1328705

Chen, Y. L., Wu, W., 2017b. Mapping Mineral Prospectivity Using an Extreme Learning Machine Regression. Ore Geology Reviews, 80: 200-213. https://doi.org/10.1016/j.oregeorev.2016.06.033

Chen, Y. L., Wu, W., 2017c. Application of One-Class Support Vector Machine to Quickly Identify Multivariate Anomalies from Geochemical Exploration Data. Geochemistry: Exploration, Environment, Analysis, 17(3): 231-238. https://doi.org/10.1144/geochem2016-024

Chen, Y. L., Wu, W., 2019a. Isolation Forest as an Alternative Data-Driven Mineral Prospectivity Mapping Method with a Higher Data-Processing Efficiency. Natural Resources Research, 28(1): 31-46. https://doi.org/10.1007/s11053-018-9375-6

Chen, Y. L., Wu, W., 2019b. Separation of Geochemical Anomalies from the Sample Data of Unknown Distribution Population Using Gaussian Mixture Model. Computers & Geosciences, 125: 9-18. https://doi.org/10.1016/j.cageo.2019.01.010

Chen, Y. L., Wu, W., Zhao, Q. Y., 2019a. A Bat Algorithm-Based Data-Driven Model for Mineral Prospectivity Mapping. Natural Resources Research, 29(1): 247-265. https://doi.org/10.1007/s11053-019-09589-z

Chen, Y. L., Wu, W., Zhao, Q. Y., 2019b. A Bat-Optimized One-Class Support Vector Machine for Mineral Prospectivity Mapping. Minerals, 9(5): 317. https://doi.org/10.3390/min9050317

Gałuszka, A., 2007. A Review of Geochemical Background Concepts and an Example Using Data from Poland. Environmental Geology, 52(5): 861-870. https://doi.org/10.1007/s00254-006-0528-2

Goyal, S., Patterh, M. S., 2013. Wireless Sensor Network Localization Based on Bat Algorithm. International Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS), 4(5): 507-512

Liu, F. S., Zhang, M. L., 1999. Complete Quality Management of the New-Round Land Resources Survey. Chinese Geology, 267(8): 20-21(in Chinese)

Liu, F. T., Ting, K. M., Zhou, Z. H., 2008. Isolation Forest. Proceedings of the Eighth IEEE International Conference on Data Mining (ICDM), 413-422

Pan, Y. D., Xu, B. J., Sun, Y., et al., 2016. Geological Features of the Jinchengdong Gold Deposit in Helong City, Jilin Province, China. Jilin Geology, 35(1): 30-35(in Chinese) http://en.cnki.com.cn/Article_en/CJFDTOTAL-JLDZ201601007.htm

Rousseeuw, P. J., 1984. Least Median of Squares Regression. Journal of the American Statistical Association, 79(388): 871-880. https://doi.org/10.1080/01621459.1984.10477105

Rousseeuw, P. J., van Driessen, K. V., 1999. A Fast Algorithm for the Minimum Covariance Determinant Estimator. Technometrics, 41(3): 212-223. https://doi.org/10.1080/00401706.1999.10485670

Sharawi, M., Emary, E., Saroit, I. A., et al., 2012. Bat Swarm Algorithm for Wireless Sensor Networks Lifetime Optimization. International Journal of Science and Research (IJSR), 3(5): 655-664 http://www.researchgate.net/publication/270241192_Bat_Swarm_Algorithm_for_Wireless_Sensor_Networks_Lifetime_Optimization

Wan, W. Z., Wang, J. B., Feng, X. Y., et al., 2010. Geological Features and Prospecting Directions of the Heanhe Gold Deposit in the Helong Area, Jilin Province, China. Jilin Geology, 29(1): 71-75(in Chinese) http://en.cnki.com.cn/Article_en/CJFDTotal-JLDZ201004015.htm

Wu, F., Lin, J., Wilde, S., et al., 2005. Nature and Significance of the Early Cretaceous Giant Igneous Event in Eastern China. Earth and Planetary Science Letters, 233(1/2): 103-119. https://doi.org/10.1016/j.epsl.2005.02.019

Wu, P. F., Sun, D. Y., Wang, T. H., et al., 2013. Chronology, Geochemical Characteristic and Petrogenesis Analysis of Diorite in Helong of Yanbian Area, Northeastern China. Geological Journal of China Universities, 19(4): 600-610(in Chinese) http://en.cnki.com.cn/Article_en/CJFDTOTAL-GXDX201304006.htm

Wu, W., Chen, Y. L., 2018. Application of Isolation Forest to extract Multivariate Anomalies from Geochemical Exploration Data. Global Geology, 21(1): 36-47. https://doi.org/10.3969/j.issn.1673-9736.2018.01.04

Xiong, Y. H., Zuo, R. G., 2016. Recognition of Geochemical Anomalies Using a Deep Autoencoder Network. Computers & Geosciences, 86: 75-82. https://doi.org/10.1016/j.cageo.2015.10.006

Yan, D., Li, N., Xu, M., et al., 2015. Mineralization Characteristics and Genesis of the Bailiping Silver Deposit in Helong City, Jilin Province. Jilin Geology, 34(3): 36-41(in Chinese) http://www.zhangqiaokeyan.com/academic-journal-cn_jilin-geology_thesis/0201253935009.html

Yang, X. S., Gandomi, A. H., 2012. Bat Algorithm: A Novel Approach for Global Engineering Optimization. Engineering Computations, 29(5): 464-483. https://doi.org/10.1108/02644401211235834

Yang, X. S., 2010. A new Metaheuristic Bat-Inspired Algorithm. In: Juan, R. G., David, A. P., Carlos, C., et al., eds., Nature Inspired Cooperative Strategies for Optimization. Springer-Verlag, Berlin. 65-74

Yu, J. J., Wang, F., Xu, W. L., et al., 2012. Early Jurassic Mafic Magmatism in the Lesser Xing'an-Zhangguangcai Range, NE China, and Its Tectonic Implications: Constraints from Zircon U-Pb Chronology and Geochemistry. Lithos, 142/143:256-266. https://doi.org/10.1016/j.lithos.2012.03.016

Zhang, Y. B., Wu, F. Y., Wilde, S. A., et al., 2004. Zircon U-Pb Ages and Tectonic Implications of 'Early Paleozoic' Granitoids at Yanbian, Jilin Province, Northeast China. The Island Arc, 13(4): 484-505. https://doi.org/10.1111/j.1440-1738.2004.00442.x

Zheng, Z. Y., 2019. A Comparison between Several Machine Learning Methods for Multivariate Geochemical Anomaly Identification in the Helong Area, Jilin Province: [Dissertation]. Jilin University, Changchun. 40-50(in Chinese with English Abstract)

Relative Articles

Supplements(0)

Cited By

Proportional views

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Figures(6) / Tables(3)

Get Citation

PDF

XML

Article Metrics

Article views(361) PDF downloads(24)

Detection of Multivariate Geochemical Anomalies Using the Bat-Optimized Isolation Forest and Bat-Optimized Elliptic Envelope Models

doi: 10.1007/s12583-021-1402-6

Abstract

References

Proportional views

Catalog

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Proportional views

Related

Detection of Multivariate Geochemical Anomalies Using the Bat-Optimized Isolation Forest and Bat-Optimized Elliptic Envelope Models

doi: 10.1007/s12583-021-1402-6

Abstract

References

Proportional views

Catalog

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Proportional views

Related

Export File

Citation

Format

Content