Combination of Dependent Realizations Within the Gradual Deformation Method

Gradual deformation is a parameterization method that reduces considerably the unknown parameter space of stochastic models. This method can be used in an iterative optimization procedure for constraining stochastic simulations to data that are complex, nonanalytical functions of the simulated variables. This method is based on the fact that linear combinations of multi-Gaussian random functions remain multi-Gaussian random functions. During the past few years, we developed the gradual deformation method by combining independent realizations. This paper investigates another alternative: the combination of dependent realizations. One of our motivations for combining dependent realizations was to improve the numerical stability of the gradual deformation method. Because of limitations both in the size of simulation grids and in the precision of simulation algorithms, numerical realizations of a stochastic model are never perfectly independent. It was shown that the accumulation of very small dependence between realizations might result in significant structural drift from the initial stochastic model. From the combination of random functions whose covariance and cross-covariance are proportional to each other, we derived a new formulation of the gradual deformation method that can explicitly take into account the numerical dependence between realizations. This new formulation allows us to reduce the structural deterioration during the iterative optimization. The problem of combining dependent realizations also arises when deforming conditional realizations of a stochastic model. As opposed to the combination of independent realizations, combining conditional realizations avoids the additional conditioning step during the optimization process. However, this procedure is limited to global deformations with fixed structural parameters.     

Sensitivity Analysis of a Feedforward Neural Network for Considering Genetic Mechanisms of Kuroko Deposits

Exploration for volcanogenic massive sulfide deposits of the kuroko-type is underway in many places. Clarifying the spatial patterns of the metals in kuroko deposits will be useful for understanding their genetic mechanisms and for future exploration of such types of deposits. This study represents a spatial distribution analysis on the contents of principal metals of kuroko deposits: Cu, Pb, and Zn, in the Hokuroku district, northern Japan, by a feedforward neural network and 1917 sample data at 143 drillhole sites. The network, which consists of three layers, was trained by the principle of SLANS in which the numbers of neurons in the middle layer and training data are changed to improve estimation accuracy. Using the weight coefficients connecting adjacent neurons, sensitivity analysis of the neural network was carried out to identify factors influencing spatial distributions of the three metals. The coordinates depth (z) direction, Bouguer gravity, and specific lithology such as dacite were determined to be influencing factors. The high frequency of the z coordinate signifies that the metal contents differ to a large extent by depth. The sensitivity vector was defined using sensitivity coefficients for x, y, and z coordinates of an estimation point. We determined that the directions of large vectors were different inside and outside of the Hanawa-Ohdate area. This characteristic is considered to originate from the differences in the permeability of fractures that became the paths for rising ore solutions, and the depths that the solutions mixed with sea water.     

专题地图的生产制作

介绍使用计算机制作专题地图的工艺流程,及计算机制图在印刷前的生产制作的工作步骤和方法,指出了在制作中需要注意的事项,对出版高质量的地图在各环节如何加以控制提出了建议。     

PowerBuilder中MapInfo的跨平台集成地图技术的实现

随着地理信息系统的广泛应用,越来越多的大型系统中都需要集成地图的某些功能,为此探讨了在PowerBuilder中MapInfo的跨平台集成地图技术的实现。     

基于约束点的曲线一致性化简

详细探讨了基于平面上的特征约束点(无论在曲线上还是在曲线外)的曲线化简，并针对各种情况提出了一致性化简的方法。     

地图数字化数据处理的相关平差与精度分析

根据地图数字化坐标转换方法、转换所得地面坐标平差方法 ,得到数字化数据处理的几种方案 ,对不同方案的计算结果进行比较 ,讨论了相关性对平差结果的影响 ,并对数字化数据的精度评定进行了分析     

基于信息块法的矢量符号库的建立和符号化实现

基于试验成果，详细介绍了基于信息块法的矢量地图符号库的建立和空间信息的符号化。     

无拓扑矢量数据快速压缩算法的研究与实现

首先论述传统矢量数据压缩算法：道格拉斯—普克法，分析将其应用于多边形边界数据压缩所造成的图形失真现象，在此基础上提出一种针对无拓扑矢量数据的快速压缩算法，并在MapInfo环境中实现该算法。     

用于监控多移动目标的电子地图系统

介绍了一种监控移动目标的电子地图系统，该系统利用独特的方法对地图文件进行组织，该方法易于程序管理和查找地图文件，并可动态添加地图文件，系统采用的串口通信方式使用方法灵活，应用简便，实际应用结果表明系统可靠，运行稳定。