• 中国出版政府奖提名奖

    中国百强科技报刊

    湖北出版政府奖

    中国高校百佳科技期刊

    中国最美期刊

    Volume 34 Issue 2
    Mar.  2009
    Turn off MathJax
    Article Contents
    ZHANG Sheng-yuan, CHENG Qiu-ming, ZHANG Su-ping, XIA Qing-lin, 2009. Weighted Weights of Evidence and Stepwise Weights of Evidence and Their Applications in Sn-Cu Mineral Potential Mapping in Gejiu, Yunnan Province, China. Earth Science, 34(2): 281-286.
    Citation: ZHANG Sheng-yuan, CHENG Qiu-ming, ZHANG Su-ping, XIA Qing-lin, 2009. Weighted Weights of Evidence and Stepwise Weights of Evidence and Their Applications in Sn-Cu Mineral Potential Mapping in Gejiu, Yunnan Province, China. Earth Science, 34(2): 281-286.

    Weighted Weights of Evidence and Stepwise Weights of Evidence and Their Applications in Sn-Cu Mineral Potential Mapping in Gejiu, Yunnan Province, China

    • Received Date: 2008-12-20
    • Publish Date: 2009-03-25
    • This paper proposes two kinds of new models of weight of evidence: weighted weights of evidence and stepwise weights of evidence to reduce the influence of correlation among evidence layers when hypothesis of conditional independence is not held.In the weighted weights of evidence model, an adjustment of weight of evidence is made to reduce the influence of correlation among evidence layers.In the stepwise model, each evidence layer is added into the logistic model as if a single layer whose weight can be calculated by using the previously calculated posterior probability as a new prior probability.These two models are compared with other models through a case study of calculating posterior probability maps for Sn-Cu mineral deposits in Gejiu, Yunnan, China.The result shows that both models are effective to reduce the influence of correlations among evidence layers on delineation of Sn-Cu anomalies.

       

    • loading
    • Agterberg, F. P., Bonham-Carter, G. F., Wright, D. F., 1990. Statistical pattern integration for mineral exploration. In: Gáal, G., Merriam, D. F., eds., Computer applications inresource estimation prediction and assessment of metals andpetroleum. Computers and Geology, 7: 1-21.
      Agterberg, F. P., Cheng, Q. M., 2002. Conditional independence test for weights-of-evidence modeling. Natural Resources Research, 11 (4): 249-255. doi: 10.1023/A:1021193827501
      Bonham-Carter, G. F., 1994. Geographic information systems for geoscientists: Modeling with GIS. Computer Methods in the Geosciences, 13: 398. https://www.sciencedirect.com/science/article/pii/0098300495900195
      Bonham-Carter, G. F., Agterberg, F. P., Wright, D. F., 1988. Integration of geological datasets for gold exploration in Nova Scotia. Photogrammetric Engineering and Remote Sensing, 54 (11): 1585-1592. doi: 10.1029/SC010p0015
      Cheng, Q. M., 2000. GeoData analysis system (GeoDAS) for mineral exploration: User's guide and exercise manual. Material for the Training Workshop on GeoDAS Held at York University, Nov. 1 to 3, 2000.204, www.gisworld.org/geodas.
      Cheng, Q. M., 2007. Mapping singularities with streamsediment geochemical data for prediction of undiscovered mineral deposits in Gejiu, Yunnan Province, China. Ore Geol. Reviews, 32 (1-2): 314-324. doi: 10.1016/j.oregeorev.2006.10.002
      Cheng, Q. M., 2008. Non-linear theory and power-law models for information integration and mineral resources quantitative assessments. Mathematical Geosciences, DOI: 10.1007/s11004-008-9172-6.
      Cheng, Q. M., Agterberg. F. P., 1999. Fuzzy weights of evidence method and its applicationin mineral potential mapping. Natural Resources Research, 8 (1): 27-35. doi: 10.1023/A:1021677510649
      Cheng, Q. M., Agterberg, F. P., Ballantyne, S. B., 1994. The separation of geochemical anomalies from background by fractal methods. Journal of Geochemical Exploration, 51 (2): 109-130. doi: 10.1016/0375-6742(94)90013-2
      Cheng, Q. M., Zhao, P. D., Chen, J. G., et al., 2009a. Application of singularity theory in prediction of tin and copper mineral deposits in Gejiu district, Yunnan, China: Weak in for mation extraction and mixing information decomposition. Earth Science-Journal of China University of Geosciences, 34 (2): 232-242 (in Chinese with English abstract). doi: 10.3799/dqkx.2009.021
      Cheng, Q. M., Zhao, P. D., Zhang, S. Y., et al., 2009b. Application of singularity theory in prediction of tin andcopper mineral deposits in Gejiu district, Yunnan, China: Information integration and delineation of mineral exploration targets. Earth Science-Journal of ChinaUniversity of Geosciences, 34 (2): 243-252 (in Chinese with English abstract). doi: 10.3799/dqkx.2009.022
      Journel, A. G., 2002. Combining knowledge from diverse sources: An alternative to traditional data independence hypotheses. Mathematical Geology, 34 (5): 573-596. doi: 10.1023/A:1016047012594
      Thiart, C., Bonham-Carter, G. F., Agterberg, F. P., et al., 2007. An application of the new Omnibus test for conditional independence in weights-of-evidence modeling. In: Harris, J., Wright, D., eds., GIS for Geosciences Geological Association of Canada, 132-142.
      Zhang, S. Y., Cheng, Q. M., Chen, Z., 2008. Omnibus weights of evidence method implemented in GeoDAS GIS for information extraction and integration. Journal of China University of Geosciences, 19 (4): 404-409. doi: 10.1016/S1002-0705(08)60073-4
      Zhang, S. Y., Wu, Q., Cheng, Q. M., et al., 2006. Weights of evidence method based on fzzy training layer andits application in desertification assessment. Earth Science-Journal of China University of Geosciences, 31 (3): 389-393 (in Chinese with English abstract).
      成秋明, 赵鹏大, 陈建国, 等, 2009a. 奇异性理论在个旧锡铜矿产资源预测中的应用: 成矿弱信息提取和复合信息分解. 地球科学——中国地质大学学报, 34 (2): 232-242. https://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200902001.htm
      成秋明, 赵鹏大, 张生元, 等, 2009b. 奇异性理论在个旧锡铜矿产资源预测中的应用: 综合信息集成与靶区圈定. 地球科学——中国地质大学学报, 34 (2): 243-252. https://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200902002.htm
      张生元, 武强, 成秋明, 等, 2006. 基于模糊预测对象的证据权方法及其在土地沙漠化评价中的应用. 地球科学——中国地质大学学报, 31 (3): 389-393. https://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200603016.htm
    • 加载中

    Catalog

      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

      1. 本站搜索
      2. 百度学术搜索
      3. 万方数据库搜索
      4. CNKI搜索

      Figures(2)  / Tables(3)

      Article views (3705) PDF downloads(73) Cited by()
      Proportional views

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return