共查询到17条相似文献,搜索用时 171 毫秒
1.
李村合 《物探化探计算技术》2003,(1)
简要介绍了微软ODBC数据库访问接口,讨论了利用VisualC++语言开发数据库应用程序时,通过SQLConfigDataSource函数自动注册ODBC数据源(DSN)的方法,并以注册Access、VisualFoxPro、Excel数据源为例,给出了实现代码。解决了用VC++开发的数据库应用程序的安装过程中需要用户通过ODBC管理器手动配置数据源的问题,提高了程序访问数据的灵活性。 相似文献
2.
VC^++应用程序中ODBC数据源的自动注册 总被引:1,自引:1,他引:1
李村合 《物探化探计算技术》2003,25(1):88-91
简要介绍了微软ODBC数据库访问接口,讨论了利用Visual C^ 语言开发数据库应用程序时,通过SQL ConfigDataSource函数自动注册ODBC数据源(DSN)的方法,并以注册Access、Visual FoxPro、Excel数据源为例,给出了实现代码。解决了用VC^ 开发的数据库应用程序的安装过程中需要用户通过ODBC管理器手动配置数据源的问题,提高了程序访问数据的灵活性。 相似文献
3.
地球科学数据依托于WebGIS进行数据共享与服务是全球地质行业发展的必然趋势,但是,由于地质数据存储格式不同、数据模型与数据结构差异及地质数据的敏感性等原因导致多源异构数据的产生,给数据共享与综合利用带来了困难。研究传统地质数据模型和GeoSciML模型,对比分析两者图层和要素属性方面的异同,从语义融合角度提出了采用传统模型的地质空间数据到GeoSciML模型的数据映射方法。结果表明,在数据格式转换和整合过程中保证了信息的完整准确,地质空间数据的互操作性强且符合数据映射要求,为我国地质数据面向国际深度共享与服务提供了科学方法。 相似文献
4.
5.
21世纪的矿产资源预测评价是在GIS平台下,通过建立地质、物探、化探、遥感等信息的空间数据库,并对各数据库进行空间分析和信息转换、提取,最终圈定综合异常的.这项工作的前提是具有高质量的空间数据库.要提高空间数据库的质量,确保入库数据的正确性和完备性是关键,因此数据检查是一个不可回避的难题.矿产预测评价基础空间数据库具有数据量庞大、数据结构复杂、数据类型多样等特点,因此,提出通过元数据技术检查和控制数据的完备性和时效性,通过数据字典技术确保数据的属性精度,借助质量规则控制数据的逻辑一致性和位置精度的数据检查策略,并运用到全国重要成矿区带的基础空间数据库数据检查中,取得了良好的效果. 相似文献
6.
地学空间数据模型的研究 总被引:10,自引:0,他引:10
以美国、加拿大、澳大利亚等国家地质调查局建立的地学空间数据库为基础,阐述了建立地学空间数据模型的重要意义。归纳了地学空间数据模型的设计原则,认为图层与属性表的实体关系、图层及属性表多少为佳是着重要解决的问题。通过对地学空间数据模型概念设计的深入研究,可以使地学空间数据模型设计人员正确地理解地学专家领域的问题,而逻辑设计则是地学空间数据模型的核心。地学逻辑数据模型研究的主要任务有图层的划分、属性表定义及关联、空间图形数据图层与属性数据的关联等。 相似文献
7.
8.
9.
贾玉华 《物探化探计算技术》1985,(1)
建立化探数据管理系统DMS(Data Management System)的基础是研究数据结构。本文讨论化探数据的关系、层次和网络三种数据模型;并指出,使用高级语言提供的文件管理系统并适当引进数据库管理系统DBMS的成功经验是设计DMS的可行方案。 相似文献
10.
江苏省地质环境监测数据库管理系统———GEMS(V1.0 0 )是用VisualC 6 .0开发的 32位Windows应用程序 ,采用ODBC及SQL进行编程设计 ,实现了对数据库的直接访问和基本操作。系统数据源选取广泛 ,数据结构设计合理 ,各种信息资源提取的自动化、可视化程度较高 ,具有较强的绘图功能。系统充分利用了Surfer、AutoCAD、ModFlow等多种软件 ,扩展了系统的制图及分析计算能力 ,同时提供了DXF、CLP和WMF 3种图形文件转换格式 ,使其具有更广阔的应用前景。 相似文献
11.
介绍了南平市地质灾害信息管理系统的概况,实现的功能.着重介绍了系统关键技术的实现--巧用"词典表"实现多库、多表、多字段编辑和查询;灵活生成查询数据和查询条件,达到各县市库的任意组合,任意字段的单独查询,任意字段问的综合查询要求. 相似文献
12.
介绍了数据字典技术在基于网络B/S结构的“全国煤炭资源网络信息系统”——煤炭数据发布平台中的应用情况。系统通过数据字典技术进行用户访问控制、数据语义规格化和显示页面动态定制等工作。数据字典技术在该系统中的应用, 不仅使系统管理人员能够统一、高效、灵活地进行访问控制, 而且能根据需求定制显示内容, 保证了系统的安全性和功能的完善性。 相似文献
13.
14.
15.
MeiHongbo HuGuangdao ChinJian~o LiZhenhua 《中国地质大学学报(英文版)》2003,14(3):265-268
MORPAS is a special GIS (geographic information system) software system, based on the MAPGIS platform whose aim is to prospect and evaluate mineral resources quantificationally by synthesizing geological, geophysical, geochemical and remote sensing data. It overlays geological database management, geological background and geological abnormality analysis, image processing of remote sensing and comprehensive abnormality analysis, etc.. It puts forward and integrative solution for the application of GIS in basic-level units and the construction of information engineering in the geological field. As the polularization of computer networks and the request of data sharing, it is necessary to extend its funictions in data management so that all its data files can be accessed in the network server. The paper utilizes some MAPGIS functions for the second development and ADO (access data object) technique to qccess multi-source geological data in SQL Server databases. Then remote visiting and congruous management will be realized in the MORPAS system. 相似文献
16.
When used in a comprehensive risk assessment framework, aquifer vulnerability maps are a tool to identify the relative susceptibility
of the groundwater from sources of contamination at the land surface. The DRASTIC method was designed for use over large areas
with a wide variety of geological and hydrogeologic settings as a screening tool in groundwater protection and management.
In this study, a series of vulnerability maps were made for the Greater Oliver area, in south central Okanagan, British Columbia,
Canada, to test the sensitivity of the methodology to changes in input data type, interpretation, and mapping approaches.
The study also illustrates how DRASTIC can be modified for use in areas of limited geological variability, where it may be
important for smaller-scale changes in vulnerability to be recognized. Maps were produced using the original DRASTIC rating
tables, a set of expanded tables using the original properties but modified ranges to accommodate the variability of data
in the valley bottom region, and alternate tables, with modified properties and ranges. Differences in vulnerability rating
for the maps using selected combinations and data interpretations are compared to the map using original DRASTIC rating tables
using visual and statistical methods. One map was generated using expert hydrological knowledge. The modified tables allowed
a greater amount of variability to be expressed in the valley bottom area compared to using the original tables and methods,
and could provide a reasonable approach for assessing local scale variability for source water protection planning. 相似文献
17.
We describe a framework designed to simplify the acquisition and integration of data from multiple, diversely formatted, geographically distributed science data sets. Our domain is Heliophysics where measurements of magnetic fields, plasmas, and charged particles are often made in-situ, with the data made available in relatively low volume data sets consisting of time series tables. Data format diversity has proven to be a significant barrier to the type of integrated, multi-mission analysis that is now very important in Heliophysics. Therefore we have developed a Java framework capable of reading, interpreting, and providing uniform access to the science content of any distributed time series data set. The framework exposes data only through fully abstract interfaces that represent data content while hiding all access details such as file format, data file granularity and access protocols. Furthermore, specialized interfaces for representing measurement-specific details are also employed, so that our framework enables data sets to be recast into scientifically interoperable representations. The context of our efforts is an increasingly distributed Heliophysics data environment that employs a collection of discipline-specific Virtual Observatories (VOs), each providing data search and retrieval services for one Heliophysics sub-discipline. Our framework is bundled in a library that ultimately will serve as a universal reader for Heliophysics data, solving the formats problem and serving as key infrastructure for advanced, science-sensitive data manipulation services. 相似文献