综述与评述

地质统计学新进展

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  • ①北京大学地质学系,北京 100871;②中国地质大学,北京 100083;③北京科技大学,北京 100083
肖斌,男,1969年11月出生于湖南邵阳,博士后,主要从事三维GIS研制与开发和地质统计学的理论与应用研究等工作。

收稿日期: 1999-05-03

  修回日期: 2000-02-14

  网络出版日期: 2000-06-01

NEW DEVELOPMENT OF GEOSTATISTICS

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  • ①Department of Geology,Peking University,Beijing 100871,China;②China University of Geosciences,Beijing 100083,China;③Department of Geology,Beijing University of Science and Technology,Beijing 100083,China

Received date: 1999-05-03

  Revised date: 2000-02-14

  Online published: 2000-06-01

摘要

地质统计学(空间信息统计学)是数学地质领域中一门发展迅速且有着广泛应用前景的新兴科学。结合地质统计学发展现状,对地质统计学的新进展进行了研究,从地质统计学理论体系、应用及软件开发等方面探讨了地质统计学的发展前缘。并指出时空多元技术、条件模拟、非参数和非线性将是地质统计学今后的发展趋势。

本文引用格式

肖 斌,赵鹏大,侯景儒 . 地质统计学新进展[J]. 地球科学进展, 2000 , 15(3) : 293 -296 . DOI: 10.11867/j.issn.1001-8166.2000.03.0293

Abstract

Geostatistics which developing fast and having widely use is a new science in mathematical geology. Jointed with the current situation of geostatistics, this paper reviewed its new development.According to the geostatistical theory system and its practical application and software exploiting,developing frontiers of modern geostatistics had been discussed. Main development of geostatistics included: Geostatistical theory and methods were improved greatly; With integrating of multidisciplines,geostatistical theory system was prospered; Geostatistical application was developed widely and deeply; a set of software systems which are of high theory and strong practicability were exploited. The paper pointed out: multivariate technique in temporal-spatial domain,conditional simulation,nonparametric and
nonlinear geostatistics are the main developing trend of geostatistics in the future.

参考文献

〔1〕肖斌,赵鹏大,侯景儒,等.时空多元协同克立格的理论研究〔J〕.物探化探计算技术,1998,20(1):1~8.
〔2〕肖斌,赵鹏大,侯景儒.时空域中的指示克立格理论研究〔J〕.地质与勘探,1999,35(4):15~19.
〔3〕肖斌,赵鹏大,侯景儒.山东归来庄金矿床金异常分布及其时空演化的地质统计学研究〔J〕.现代地质,1999,13(4):419~424.
〔4〕赵鹏大,李紫金,胡旺亮.矿床统计预测〔M〕.北京:地质出版社,1994.10~195.
〔5〕赵鹏大,陈永清.地质异常矿体定位的基本途径〔J〕.地球科学,1998,23(2):111~114.
〔6〕侯景儒,尹镇南,李维明,等.实用地质统计学〔M〕.北京:地质出版社,1998.
〔7〕侯景儒.中国地质统计学(空间信息统计学)发展的回顾及前景〔J〕.地质与勘探,1996,32(1):20~25.
〔8〕王仁铎.地质统计学的发展趋势〔J〕.地质科技情报,1996,15(2):99~102.
〔9〕李恩羊.作物需水量的最优估计〔J〕.水力学报,1989,(10):23~29.
〔10〕王博.降水和农业灌溉用水系列联合生成随机模型及应用〔J〕.武汉水电学院学报,1997,30(3):47~49.
〔11〕Armstrong M. Geostatistics-Proceedings of the Third International Geostatistics Congress〔C〕. France: Kluwer Academic Publishers, 1988.Vol.1,2.
〔12〕Deutsch C V, Journel A G. GSLIB〔M〕. New York: Oxford University Press, 1992.
〔13〕Matheron G. The theory of Regionalized Variables and its Application〔M〕. France: Centre of Geostatistics Fontainebleau, 1970.
〔14〕Matheron G.Traitéde la Géostatististique Appliquée〔M〕.Paris: Ed Technip, 1963.
〔15〕Olea R A. Kriging〔J〕. Geobyte-American Association of Petroleum Geologists, 1992, 7(5):12~17.
〔16〕Jacques R. Disjunctive Kriging and Non-Linear Geostatistics〔M〕. Oxford: Clarendon Press, 1994.27~67.
〔17〕Henley S. Non-parameteric Geostatistics〔M〕. England:Applied Science Publishers LTD, 1981.
〔18〕Ricardo A O. Geostatistical Glossary and Multilingual Dictionary〔M〕. New York: Oxford University Press,1991.
〔19〕Journel A G. Nonparameteric estimation of spatial distributions〔J〕. Math Geol, 1983, (3): 445~468.
〔20〕Oliver M A. Kriging: A Method of Estiamtion for Environmental and Rare Disease Data〔M〕. London: Geological Society Special Publications, 1997.

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