排序方式： 共有21条查询结果，搜索用时 31 毫秒
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基于多时相Landsat数据的城市扩张及其驱动力分析 总被引：10，自引：0，他引：10
以长沙市为例，在多时相Landsat遥感数据支持下，采用监督分类、非监督分类和归一化裸露指数(NDBI)等方法提取城市用地信息。通过对比多期城市用地的熵值变化，定量分析城市扩张的时空特性； 运用叠加、缓冲区分析等方法，分析城市扩张和中心城区的关系，绘制城市扩张速度玫瑰图。研究结果表明，长沙市建成区总面积不断扩展，其中，1973~1986年扩张主要表现在东南方向，1987~1993年为西部方向，1994~2001年南和东南方向成为快速扩张方向； 对长沙城市扩张驱动力进行分析，认为人口迅速增加是城市扩张的最主要驱动力。 相似文献
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回顾了两种类型的时空数据模型，发展了面向对象的规划道路中线时空数据模型，进一步实现了对规划道路中线对象的查询及更新维护。该模型具有充分利用GIS已有的空间分析和方便实现时态分析的功能，同时也具有数据维护和历史数据恢复方便简单，空间信息没有冗余，时态信息冗余小，且能表达变化原因等特点。 相似文献
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GIS中面向对象时空数据模型 总被引：105，自引：4，他引：105
由于当前的地理信息系统软件难以处理时态现象，时态数据模型已忧为ＧＩＳ领域的一个研究热点。许多学者提出了多种时态数据模型。本文作者在提出了矢量栅格一体化的面向对象数据模型之后，再一次对时态问题进行了分析研究，净面向对象的数据模型扩充到时间维。有三种方法表达空间对象的历史变化。第一种是将版本信息记录在关系表上；第二种是将版本信息标记在记录上；第三种是将版本信息标记在属性上。本文采用面向对象的方法，将版 相似文献
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时空拓扑关系定义及时态拓扑关系描述 总被引：30，自引：6，他引：30
目的，国际上对于作为时空数据模型概念和形式化基础的时空拓扑关系定义和描述还没有一个明确的阐述。本文在分析ＧＩＳ的时空特性后，给出了一个语义层时空拓扑关系定义。同时，提出并证明了完备、唯一的描述时态拓扑关系的４Ｉ框架，列出了时态拓扑关系描述的谓词集，区别了时态拓扑关系和时间方向关系的内涵和谓词描述形式。 相似文献
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Abstract In previous work, a relational data structure aimed at the exchange of spatial data between systems was developed. As this data structure was relational it was of first normal form, but compliance with the higher normal forms was not investigated. Recently, a new procedural method for composing fully normalized data structures from the basic data fields has been developed by H. C. Smith, as an alternative to the process of non-loss decomposition which is difficult to understand. Smith's method has been applied to data fields required to store points, lines and polygons in a chain-node spatial data model. When geographic domain, coverage layer and map are also considered, the procedure naturally leads to a catalogue model, needed for the exchange of spatial data. Although the method produces a fully normalized data structure, it is not as easy to identify which normal forms are responsible for the ultimate arrangement of the data fields into relations, but the benefits of these criteria for data base development also apply to spatial data structures and related ancillary data. 相似文献
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Hongbo Yu Shih‐Lung Shaw 《International journal of geographical information science》2013,27(4):409-430
Today, the opportunity for potential human activity has gone beyond physical space to virtual space. Based on a proposed conceptual framework that models the relationships between physical and virtual spaces, this paper presents an attempt to adjust the space–time prism concept of Hägerstrand's time geography to identify potential activity opportunities in virtual space, focusing on the virtual space access channels available in physical space. A three‐dimensional (3D) spatio‐temporal Geographic Information System (GIS) design has been developed in this research to accommodate the adjusted space–time prism concept to support the representation, visualization, and analysis of potential human activities and interactions in physical and virtual spaces using the prism representation. Following the design, a prototype system has been successfully implemented in a 3D GIS environment. Such a system can provide powerful analytical tools for studies related to potential human activities and applications such as location‐based services (LBS) and accessibility analysis in the information age. 相似文献
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广州-佛山都市区城乡聚落时空演变 总被引：4，自引：1，他引：3
分析了广州 -佛山都市区城乡聚落时空演变的区域历史背景。利用地形图与卫星遥感影像数据 ,采用定性与定量相结合的数据挖掘方法 ,在空间信息技术的支持下 ,探讨了广州 -佛山都市区城乡聚落近一个世纪的时空演变规律 ;初步总结出聚落演变时空信息图谱的双核心、生命节律、跳跃 -填充 (Jum p- Fill)、TOD模式等特征 ,并进一步研究了其方向与应用前景。 相似文献
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Bo Huang Li Zhang Bo Wu 《International journal of geographical information science》2013,27(3):379-398
Understanding the complexity of urban expansion requires an analysis of the factors influencing the spatial and temporal processes of rural–urban land conversion. This study aims at building a statistical land conversion model to assist in understanding land use change patterns. Specifically, GIS coupled with a logistic regression model and exponential smoothing techniques is used for exploring the effects of various factors on land use change. These factors include population density, slope, proximity to roads, and surrounding land use, and their influence on land use change is studied for generating a predictive model. Methods to reduce spatial autocorrelation in a logistic regression framework are also discussed. Primarily, an optimal sampling scheme that can eliminate spatial autocorrelation while maintaining adequate samples to allow the model to achieve the comparable accuracy as the spatial autoregressive model is developed. Since many of the previous studies on modeling the spatial complexity of urban growth ignored temporal complexity, a modified exponential smoothing technique is employed to produce a smoothed model from a series of bi‐temporal models obtained from different time periods. The proposed model is validated using the multi‐temporal land use data in New Castle County, DE, USA. It is demonstrated that our approach provides an effective option for multi‐temporal land use change modeling and the modeling results help interpret the land use change patterns. 相似文献