空间分析方法、应用模型与GIS的关系

首先阐述了空间分析和应用模型的基本概念，进而从地理信息处理系统的功能入手，分析了空间分析、应用模型和GIS的关系，最后指出加强应用模型与GIS的结合以及增强GIS的基本空间分析功能是增强GIS整体功能的二个最有效的方法．     

地理信息系统在管理工作中的应用

地理信息系统可用于地理信息的处理，这是众所周知的，其实地理信息系统有更多用途，提出了将地理信息系统用于管理工作中的一些方法及建议。     

时态GIS初探

时态GIS是GIS一个新兴的研究领域，目前仍处于理论与模型的研究阶段。章总结了时态GIS的研究现状，介绍了时间数据库与时空数据库的概念以及类型。在已有的研究成果基础上，归纳了时态GIS的主要功能，应包括输入、存储、编辑和更新，时空数据库管理，查询和检索，时空分析，显示和输出等功能模块。并提出了基于传统GIS解决时间方面问题的一些思路。     

DEVELOPMENT OF A DECISION SUPPORT SYSTEM FOR MANAGING PESTICIDE LOSSES IN AGRICULTURAL WATERSHEDS

1 INTRODUCTION Agricultural use of pesticides has been recognized as one of the important non-point pollution sources in the world, and the pesticide application to agricultural lands has led to large amounts of residues discharged into surface water through runoff (Leonard, 1990). There have been growing concerns about the fate and transport of pesticides in agricultural lands, due to the associated adverse impacts on water environment and human health (Agassi et al., 1995; Ng and Clegg…     

Seismic risk assessments and GIS technology: applications to infrastructures in the Friuli–Venezia Giulia region (NE Italy)

This paper illustrates the seismic risk preliminary estimates of two different groups of structures located on the territory of the Friuli–Venezia Giulia region (NE Italy) : the first group includes some special industrial plants, and the second group includes bridges and tunnels belonging to the regional highway network. The part of the study on special industrial plants tries to evaluate the degree of expected damage, taking into account their structural typology and ground shaking expressed in terms of macroseismic intensity. The second part of the study is an application of the HAZUS methodology to the tunnels and bridges of a highway network: the combination of expected ground shaking and the construction characteristics lead to very different risk levels, especially when considering the bridges. The resulting damage levels to bridges and tunnels are still only indicative because of the fragility curves used in the evaluations: they were developed for existing bridge and tunnel structural typologies in the U.S.A. Moreover, both examples show the power of GIS technology in storing, elaborating, and mapping spatial data. Copyright © 2003 John Wiley & Sons, Ltd.     

Geostatistical inversion of coupled problems: dealing with computational burden and different types of data

Practical application of geostatistical inversion to coupled problems is hampered by a number of difficulties. In this paper, we address two of them: first, the computational cost of sensitivity (Jacobian) matrices and, second, the evaluation of the relative weights of different types of data. Regarding the first, we revise the adjoint state equations to propose a form whose cost is independent of the number of unknown parameters and only grows with the number of observation wells. Regarding the second, we derive expressions for the relative weights of different types of data. These expressions are based on minimizing the expected likelihood, rather than the likelihood itself. The efficiency of both improvements is tested on a synthetic example. The example analyzes a wide range of groundwater flow and solute transport conditions. Yet, the expected likelihood consistently yields the optimal weights. The proposed form of the adjoint state equations leads to one order of magnitude reduction in CPU time with respect to the conventional sensitivity equations.     

Landslide susceptibility analysis using GIS and artificial neural network

The purpose of this study is to develop landslide susceptibility analysis techniques using an arti?cial neural network and to apply the newly developed techniques to the study area of Yongin in Korea. Landslide locations were identi?ed in the study area from interpretation of aerial photographs, ?eld survey data, and a spatial database of the topography, soil type and timber cover. The landslide‐related factors (slope, curvature, soil texture, soil drainage, soil effective thickness, timber age, and timber diameter) were extracted from the spatial database. Using those factors, landslide susceptibility was analysed by arti?cial neural network methods. The landslide susceptibility index was calculated by the back‐propagation method, which is a type of arti?cial neural network method, and the susceptibility map was made with a geographic information system (GIS) program. The results of the landslide susceptibility analysis were veri?ed using landslide location data. The validation results showed satisfactory agreement between the susceptibility map and the existing data on landslide location. A GIS was used to ef?ciently analyse the vast amount of data, and an arti?cial neural network to be an effective tool to maintain precision and accuracy. The results can be used to reduce hazards associated with landslides and to plan land use and construction. Copyright © 2003 John Wiley & Sons, Ltd.     

GIS支持下的吉林西部水质预警研究

借助于GIS强大的空间分析功能，采用共享软件，对水质进行预警，并将预警结果与其它地理信息相叠加，提出了GIS支持下的水质预警的方法和流程。以吉林西部潜水水质为例进行预警研究，结果表明，该区已有25％的地区出现了不同程度的警性，并呈恶化趋势。     

GIS空间过程建模系统初探

阐述了GIS空间过程和空间过程建模的概念，提出了空间过程建模系统的概念框架，分析了其功能需求和主要的支撑技术。     

空间数据质量相关问题探讨

阐述研究空间数据质量问题的必要性和重要性,进而依据GIS数据流程系统分析了产生数据质量问题的各种因素;并重点介绍了空间数据质量问题中基本的误差和不确定性分析方法以及常用的误差控制与校正方法。