岩石力学参数数据库系统的开发和研究   总被引：1，自引：0，他引：1  

徐高巍  白世伟  贺怀建 《岩土力学》2005,26(6):1005-1008

收集大量岩石力学参数数据,利用数据预处理、统计分析、灰色系统理论、人工神经网络、经验分析等多种数据处理方法, 并参照各行业规范对力学参数取值的方法和范围,建立起岩石力学参数数据库系统。该系统可以根据工程岩体的名称、风化程度和饱水状态等工程地质情况,对实际工程中工程岩体的力学参数作出查询、预测、判断和决策。文中介绍了该系统的功能、特点、数据收录范围、数据库结构以及系统的框架组成,并以一个工程实例描述了系统的使用方法。  相似文献   

基于GIS的兴趣点公交路线查询系统的研究与设计     

顾鹏飞  高成发 《现代测绘》2014,(6):9-11

为了更加有效地利用公共交通,缓解城市交通拥堵,本文在公共交通利用方面提出了一种新的出行路线查询方法。它可以提供基于无需换乘的公交站点位置周边兴趣点路线查询,即根据离自己位置最近的公交站点信息,按照一定条件查找出满足条件的兴趣点,并给出前往自己兴趣点的公交路线。建立相应的空间数据库,储存公交站点等信息。基于ArcEngine开发平台,采用C#.NET语言进行了城市公交站点周边兴趣点查询系统功能的开发,实现了输入兴趣点和公交站点即可得到所需的出行路线。在本文中,查询系统以深圳市为例进行了测试,结果能够满足需求,为城市居民的出行提供了一个新的查询方式。  相似文献   

GML土地利用空间数据查询与应用     

吴宝佑  张山山  姚封 《测绘科学》2011,36(3):222-225

本文以全国第二次土地调查中的土地利用数据为例,根据国家标准GML 3.2规范,提出了基于GML的土地利用数据模型;针对传统的符合W3C标准的XML查询语言XQuery不能进行空间查询的问题,提出了一种在Saxon开源版本的XQuery引擎基础上扩展空间函数功能进而对GML数据进行空间查询的方法,并探讨了基于GML和XQ...  相似文献   

一种基于XML数据模型的时空查询代数探讨     

柳晓华  万幼川  黄解军 《地理空间信息》2011,9(3):81-85

时空查询代数是一种抽象的时空查询语言,它利用时空抽象数据类型的一部分基本的谓词、操作、函数来表达时空查询.而在时空微观运算上采用的数据结构是本源XML数据库(Native XML Database,NXD)用来存储半结构化数据的XML数据结构,所以对XML查询代数-XQuery FS的数据类型和查询操作做了时空扩展,并...  相似文献   

应用Winding-Number算法快速确定中国地震地理位置名称     

任枭  殷翔  徐志国  孙丽 《地震地磁观测与研究》2011,32(4):145-151

应用Winding-Number算法,快速确定中国地震地理位置名称(精确到县市区一级),查询过程具有准确性、高效性和误差小等特点.根据实际要求,将地名查询程序应用到F-E分区程序,可得到中国地震地理位置详细名称,顺应地震观测报告的出版要求,为地震基础科学研究提供便利.  相似文献   

Design and implementation of a information management system for the national mineral resources potential evaluation project.     

SONG Xianglong  LI Nan  XIAO Keyan  FAN Jianfu  CUI Ning 《地学前缘》2018,25(3):196

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基于GIS的多源遥感影像管理显示系统的设计与实现     

毕金强  张盼盼 《测绘与空间地理信息》2015,(4):124-127

影像数据具有多时相、数据量大的特点,这给影像数据的集中统一管理提出了更高的要求。如何结合GIS空间数据管理优势管理影像数据,实现矿区影像的快速入库与高效查询,是本文所要探讨的主要内容。本文在分析不同影像类型在磁盘上的存档特点,以及头文件内容的基础上,确定了影像元数据库结构并设计了头文件自动解析模块,实现了影像的数据文件及其相关元数据的快速入库,开发了基于Arc GIS Engine的影像管理查询检索系统,实现了基于空间和属性的快速查询检索,并且在元数据的支持下实现了影像和元数据的双向查询。  相似文献   

An accurate selectivity estimation method for window queries and an implementation thereof     

Changxiu Cheng  Jing Yang  Xiaomei Song  Shanli Yang  Lijun Wang 《地球空间信息科学学报》2013,16(2-3):81-89

Spatial selectivity estimation is crucial to choose the cheapest execution plan for a given query in a query optimizer. This article proposes an accurate spatial selectivity estimation method based on the cumulative density (CD) histograms, which can deal with any arbitrary spatial query window. In this method, the selectivity can be estimated in original logic of the CD histogram, after the four corner values of a query window have been accurately interpolated on the continuous surface of the elevation histogram. For the interpolation of any corner points, we first identify the cells that can affect the value of point (x, y) in the CD histogram. These cells can be categorized into two classes: ones within the range from (0, 0) to (x, y) and the other overlapping the range from (0, 0) to (x, y). The values of the former class can be used directly, whereas we revise the values of any cells falling in the latter class by the number of vertices in the corresponding cell and the area ratio covered by the range from (0, 0) to (x, y). This revision makes the estimation method more accurate. The CD histograms and estimation method have been implemented in INGRES. Experiment results show that the method can accurately estimate the selectivity of arbitrary query windows and can help the optimizer choose a cheaper query plan.  相似文献   

A framework to enhance semantic flexibility for analysis of distributed phenomena     

J. McIntosh  M. Yuan 《International journal of geographical information science》2013,27(10):999-1018

While some geographic phenomena hold uniform properties, such as land‐use zones, many geographic phenomena are distributed such that their properties vary across an extended area. While such distributed phenomena are best represented as continuous surfaces, individual objects (or features) often emerge among clusters of high or low values in a field. For example, areas of relatively high elevation may be viewed as hills, while flat low‐lying areas are perceived as plains in a terrain. A comprehensive spatial analysis of distributed phenomena should examine both the spatial variance of its attribute surfaces and the characteristics of individual objects embedded in the field. An immediate research challenge to meet such spatial analysis needs is that these emerging features often have vague boundaries that vary according to the use and the user. The nature, and even existence, of these objects depend upon the range of values, or thresholds, used to define them. We propose a representation framework that takes a dual raster‐vector approach to capture both field‐ and object‐like characteristics of distributed phenomena and maintain multiple representations of embedded features delineated by boundaries that are likely to be relevant for the expected uses of the data. We demonstrate how boundaries influence the analysis and understanding of spatiotemporal characteristics of distributed phenomena. Using precipitation as a proof of concept, we show how the proposed framework enhances semantic flexibility in spatiotemporal query and analysis of distributed phenomena in geographic information systems.  相似文献   

A context-aware personalized travel recommendation system based on geotagged social media data mining   总被引：1，自引：0，他引：1  

Abdul Majid  Gencai Chen  Hamid Turab Mirza  Ibrar Hussain  John Woodward 《International journal of geographical information science》2013,27(4):662-684

The proliferation of digital cameras and the growing practice of online photo sharing using social media sites such as Flickr have resulted in huge volumes of geotagged photos available on the Web. Based on users' traveling preferences elicited from their travel experiences exposed on social media sites by sharing geotagged photos, we propose a new method for recommending tourist locations that are relevant to users (i.e., personalization) in the given context (i.e., context awareness). We obtain user-specific travel preferences from his/her travel history in one city and use these to recommend tourist locations in another city. Our technique is illustrated on a sample of publicly available Flickr dataset containing photos taken in various cities of China. Results show that our context-aware personalized method is able to predict tourists' preferences in a new or unknown city more precisely and generate better recommendations compared to other state-of-the-art landmark recommendation methods.  相似文献