基于空间数据库的山东城镇发展水平的空间统计分析

基于GIS空间数据库,对山东省108个城镇的综合发展水平进行了空间统计分析。首先选用了反映城市综合发展水平的14项指标,并进行了主成分分析,得出反映城镇综合发展水平的综合指标,并分析了山东省各城镇的综合发展水平与分布状况。然后利用该综合指标,对各个城镇进行了空间统计分析,通过计算全局空间自相关指标,分析认为山东省各城镇综合发展水平总体上未呈现空间相关关系;通过计算局部空间自相关指标,分析认为山东省68.5%的城镇分布存在非相似空间集聚特征。     

淮北煤田孙庄勘探区煤层气赋存规律及影响因素分析

通过对淮北煤田孙庄勘探区地质构造、沉积特征、煤层煤质及煤层气赋存特征的分析，研究认为有利于本区煤层气赋存的主要因素是较大的埋藏深度、较高的壳质组＋镜质组、较高的变质程度、较大的煤层厚度、低透气性的盖层、较缓的地层倾角和封闭性较好的构造条件，推测煤田深部可能具有一定工业价值的煤层气资源。     

吉林夹皮沟金矿床主成矿时代的确定及找矿方向

夹皮沟金矿床主成矿时代一直悬而未决，矿区及外围找矿始终处于排徊阶段。通过构造、岩浆岩、脉岩和标型矿物等综合地质分析，结合４４条脉岩ＫＡｒ年龄的统计和含金石英脉石英流体包裹体ＲｂＳｒ同位素测试等表明，夹皮沟金矿带主成矿时代为燕山期。燕山期正是太平洋板块向欧亚大陆俯冲，造成华北地台东部强烈岩浆活动、深大断裂和环太平洋成矿带形成的最佳期。找矿靶区应重点选定在夹皮沟大砬子深大断裂两侧中生代构造系统和脉岩体附近。     

浙江省千岛湖西部地区旅游资源功能分类及开发建议

以１∶５万区域地质调查资料为基础，详细论述了千岛湖西部旅游资源的特点，据其功能划分为水文景观、生物景观、地学景观、地史遗迹、休闲渡假、人文景观和土特产品７大类，并对不同类型的旅游资源提出了开发建议     

多相地貌单元场地勘察中基岩与卵砾石、孤石的鉴别

在多相地貌单元场地勘察中，基岩与卵砾石的鉴别难度较大。应利用初步感性认识、钻进状态、岩样特征等多手段对基岩与卵砾石进行判别，以提高判别率。     

勘探工程地质统计信息法

勘探工程地质统计信息法试图运用定量评价准则研究勘探工程,而定量评价准则是建立在矿体数学模型基础上。本文在最优勘探方案和最优工程位置选择方面作了一些研究。     

矿岩界线的自动推连

着重讨论了如何利用人工智能技术进行矿岩界线的自动推断和连接，包括对所研制的基于知识的矿岩界线自动推连系统（ＡＩＳＭＢ）的措述，关于数据与知识的表示和组织、推理过程、策略以及系统实现等内容。     

平顶山矿区钻探泥浆的研究

介绍了平顶山矿区地质特征、钻孔护壁概况和５种不同体系泥浆的组成特点、配方及性能参数；对泥浆的密度与固相含量、粘度与流变特性、滤水特性及防涌防漏的主要技术性能和作用机理进行了探讨；综合分析了各类泥浆的钻进技术效果和经济效益。     

Exploratory spectral analysis of hydrological times series

Current methods of estimation of the univariate spectral density are reviewed and some improvements are made. It is suggested that spectral analysis may perhaps be best thought of as another exploratory data analysis (EDA) tool which complements, rather than competes with, the popular ARMA model building approach. A new diagnostic check for ARMA model adequacy based on the nonparametric spectral density is introduced. Additionally, two new algorithms for fast computation of the autoregressive spectral density function are presented. For improving interpretation of results, a new style of plotting the spectral density function is suggested. Exploratory spectral analyses of a number of hydrological time series are performed and some interesting periodicities are suggested for further investigation. The application of spectral analysis to determine the possible existence of long memory in natural time series is discussed with respect to long riverflow, treering and mud varve series. Moreover, a comparison of the estimated spectral densities suggests the ARMA models fitted previously to these datasets adequately describe the low frequency component. Finally, the software and data used in this paper are available by anonymous ftp from fisher.stats.uwo.ca.     

Appreciation of Contributions by Georges Matheron and John Tukey to a Mineral-Resources Research Project

Georges Matheron (1930–2000) and John Tukey (1915–2000) were among the most prominent mathematical statisticians of the 20th century. Both men produced numerous important new theoretical and practical results. This personal appreciation of their work concentrates on contributions to mineral-resources research and describes their influence on my work in mineral-resource evaluation studies at the Geological Survey of Canada (1966–1983).