A New Nonparametric Discriminant Analysis Algorithm Accounting for Bounded Data Errors

In a statistical pattern recognition context, discriminant analysis is designed to classify, when possible, objects into predefined categories. Because this method requires precise input data, uncertainties cannot be propagated in the classifying process. In real case studies, this could lead to drastic misinterpretations of objects. A new nonparametric algorithm based on interval arithmetic has thus been developed to propagate interval-form data. They consist in calculating interval conditional probability density functions and interval posterior probabilities. Objects are eventually assigned to a subset of classes, consistent with the data and their uncertainties. The classifying model is thus less precise, but more realistic than the standard one, which we prove on a real case study.     

分形在储层参数井间预测中的应用

现有地震资料难以实现储层薄层的预测，分形理论的引入，可弥补这一不足．以具有连续性和等间距采样点的测井资料为基础，以分形分析理论为手段，结合生产实际进行了研究．根据分形地质统计学中对储层参数的研究，得出其分形理论模型，并通过VisualBasic语言编程，在计算机上实现了某地区4口井储层参数（包括孔隙度、渗透率和泥质含量）的井间预测，其结果达到了预期的效果，说明将分形理论用于储层参数井间预测具有可行性．     

重、磁数据处理和图象显示FORTRAN程序库

重、磁常规数据处理在地质上得到广泛应用,我们建立了一个标准的常规数据处理工具库:HKl.LIB,同时,在库中加入图形函数,使得能够使用FOR-TRAN语言编制绘图软件。     

VGI and crowdsourced data credibility analysis using spam email detection techniques

Volunteered geographic information (VGI) can be considered a subset of crowdsourced data (CSD) and its popularity has recently increased in a number of application areas. Disaster management is one of its key application areas in which the benefits of VGI and CSD are potentially very high. However, quality issues such as credibility, reliability and relevance are limiting many of the advantages of utilising CSD. Credibility issues arise as CSD come from a variety of heterogeneous sources including both professionals and untrained citizens. VGI and CSD are also highly unstructured and the quality and metadata are often undocumented. In the 2011 Australian floods, the general public and disaster management administrators used the Ushahidi Crowd-mapping platform to extensively communicate flood-related information including hazards, evacuations, emergency services, road closures and property damage. This study assessed the credibility of the Australian Broadcasting Corporation’s Ushahidi CrowdMap dataset using a Naïve Bayesian network approach based on models commonly used in spam email detection systems. The results of the study reveal that the spam email detection approach is potentially useful for CSD credibility detection with an accuracy of over 90% using a forced classification methodology.     

GIS中的时空数据模型研究

状态与事件是时态地理信息系统(TemporalGIS ,TGIS)的一对基本概念,目前时空数据模型研究侧重于将两个概念相分离,表现为基于状态模型和基于事件模型,无法兼顾两种模型的优点。本文提出了基于状态-事件的时空数据模型,并系统阐述各时空数据模型之间的相互转换条件。     

Surface effects of triggered fault slip on Reykjanes Peninsula, SW Iceland

Three large earthquakes (M_w>4.5) were triggered within 5 min, 85 km west of a M_w 6.5 earthquake in the South Iceland Seismic Zone (SISZ). We report on surface effects of these triggered earthquakes, which include fresh rupture, widespread rockfall, disrupted rockslides and block slides. Field data confirm that the earthquakes occurred along N-striking right-lateral strike-slip faults. Field data also support the conclusion from modeling of InSAR data that deformation from the second triggered event was more significant than for the other two. A major hydrological effect was the draining of water through an open fissure on a lake bed, lowering the lake level by greater than 4 m. Field relationships suggest that a component of aseismic slip could have been facilitated by water draining into the fault zone.     

抗洪救灾遥感系统中河道防洪信息系统的试验研究

介绍了抗洪救灾遥感系统中河道防洪信息系统的试验研究.试验以微机作为基本硬件环境,通过对各种图形和遥感图像的输入、输出与处理方法的研究,采用以DBASE-Ⅲ为主,以FORTRAN、BASIC和C语言为辅的混合编程方法.建立了河道防洪信息系统.该系统具有数据更新、查询检索、统计报表、显示制图和对图形、图像的数据采集、编辑、存取、显示、输出与处理等功能.     

煤层定向水平分支井预测方法研究

借鉴石油系统地质导向工作方法,提出煤层中水平段钻进确定煤层倾角的三维空间计算方法,以及如何指导进入着陆点后调整孔斜角的原则。根据不同地层产状下钻头钻进和钻出煤层的姿态,总结出在钻进过程中因煤层产状变化引起的8种不同脱靶(入靶)模式,并推导出三维空间内8种模式下真实煤层视倾角的计算方法。采用半定量的方法给出脱靶后调整钻孔轨迹的方法以及孔斜调整区间。通过钻探实例验证该预测算法能够指导减少脱靶,提高煤层钻遇率和钻井效率。     

Disjunctive Kriging with Hard and Imprecise Data

This paper presents a methodology for assessing local probability distributions by disjunctive kriging when the available data set contains some imprecise measurements, like noisy or soft information or interval constraints. The basic idea consists in replacing the set of imprecise data by a set of pseudohard data simulated from their posterior distribution; an iterative algorithm based on the Gibbs sampler is proposed to achieve such a simulation step. The whole procedure is repeated many times and the final result is the average of the disjunctive kriging estimates computed from each simulated data set. Being data-independent, the kriging weights need to be calculated only once, which enables fast computing. The simulation procedure requires encoding each datum as a pre-posterior distribution and assuming a Markov property to allow the updating of pre-posterior distributions into posterior ones. Although it suffers some imperfections, disjunctive kriging turns out to be a much more flexible approach than conditional expectation, because of the vast class of models that allows its computation, namely isofactorial models.     

不同参考面块体应变计算公式的对比分析

通过对不同块体应变计算公式的分析,利用模拟数据作为输入、采用经典平差方法求解应变参数并评定精度,进而对比不同参考面块体应变计算公式的差异。同时对小样本和大样本模拟数据应变计算结果进行统计分析。结果表明,平面公式与球面公式计算结果的差异与计算区域的大小有关,由投影误差决定,与点位的纬度分布没有必然的联系。因此,在小区域进行应变计算不会因为公式不同而导致结果的系统性差异。