共查询到19条相似文献，搜索用时 140 毫秒
1.
介绍了Rough集理论的概念与方法,并将其全面引入GIS领域,归纳整理出Rough集理论用于GIS中属性分析和知识发现的一整套方法,为GIS的属性分析和知识发现开辟了一条新途径。 相似文献
2.
Rough集理论及其在GIS属性分析和知识发现中的应用 总被引：1，自引：0，他引：1
《武汉大学学报(信息科学版)》1999,16(3):08
介绍了Rough集理论的概念与方法,并将其全面引入GIS领域,归纳整理出Rough集理论用于GIS中属性分析和知识发现的一整套方法,为GIS的属性分析和知识发现开辟了一条新途径。 相似文献
3.
廖伟华 《测绘与空间地理信息》2011,34(2):65-66,69
GIS属性数据作为GIS实体的属性,具有模糊性、不确定性。由GIS实体对象和对象的属性组成的二元关系满足近似空间的特性。本研究从GIS信息系统的对象、属性出发,利用格概念,认为GIS属性数据集合可以构成偏序关系,并且(P(A),)构成一个完备的偏序格。如果从属性链的角度分析,GIS实体集在的细分划分空间关系下,可以构成分层递阶近似空间,并且随着属性个数的增加,知识颗粒将逐渐"细化"。 相似文献
4.
VC环境下基于GIS的GPS导航系统的开发 总被引：5，自引：0，他引：5
从空间定位技术出发 ,在VC 环境下 ,以MapX控件为图形平台 ,以MSComm控件为通信平台 ,开发具有属性查询、空间分析等GIS基本功能的GPS导航信息系统。为用户提供开发具有典型GIS功能的应用软件接口程序的基本方法 相似文献
5.
基于矢量评估单元的模糊综合评价在GIS中的实现 总被引：1，自引：0，他引：1
模糊综合评价与GIS空间分析功能的融合应用,使基于GIS的模糊综合评价显示出强大的优势。由于栅格模型计算方便,目前GIS模糊综合评价中基本采用栅格评估单元,但栅格单元由人为指定单元大小,其单元大小和形状不一、边界复杂、空间运算时隶属度与权重等属性结构设计较难实现,大大限制了其在模糊综合评价中的应用。本文介绍了在GIS中采用矢量评估单元实现模糊综合评价的基本方法,探讨了在矢量评估单元的属性结构中设计单元的隶属度和权重等属性的关键技术,为矢量评估单元在GIS模糊综合评价中的应用提供了经验。 相似文献
6.
探讨了运用GIS技术对供电台区经营综合评价的实现方法,选取了业务属性和空间属性两个方面评价因子,介绍了从系统软硬件、评价实现过程及显示结果等方面评价过程的具体技术实现。 相似文献
7.
无缝GIS数据生产的研究 总被引：4，自引：1，他引：3
随着数字地球的发展,传统的以"图幅"为单位的GIS应用模式已满足不了实际应用的需要,无缝GIS成为GIS发展的必然趋势,而无缝数据的生产又是实现无缝GIS的关键环节。本文探讨了无缝GIS数据生产的流程,及无缝数据生产的三个关键技术———数据中间件接口技术、线状要素的裁剪和属性关联技术、面状要素的交、并运算和属性关联技术。 相似文献
8.
GIS数据分析中权重确定的粗集方法研究 总被引：5，自引：3，他引：2
介绍了粗集方法的基本概念,将其中的属性重要性与GIS中常用的权重分析相结合,提出了基于粗集分类思想在GIS数据分析的权重确定中的应用方法。与传统的多因子分析中的权重确定方法相比,该方法是一种基于数据自适应的方法,不需要人为干预,具有智能高效等优点。 相似文献
9.
基于统计归纳学习的GIS属性数据挖掘 总被引：1，自引：0，他引：1
将统计分析方法和面向属性的归纳方法结合起来,形成了一种应用面比较广的统计归纳学习方法,可以用于GIS属性数据挖掘.同时提出GIS属性数据挖掘可以分为3个层次,包括从数据生成新的数据、从数据产生模型和从数据归纳出知识.由原始数据生成新的数据,可以得出变量之间粗浅的关系;从数据推导出的模型,可以定量描述变量之间的关系;由数据挖掘出的知识,可以揭示客观世界的普遍性规律. 相似文献
10.
通过对AutoCAD和Arc/info内部属性结构的研究,寻找互相转换的接口,使数据共享,充分发挥各自软件的优势,使其为建立GIS数据库提供更为简便的方法. 同时,为利用原有的AutoCAD数据建立GIS,探索出一条可行性路线,对GIS生产和研究具有指导意义. 相似文献
11.
遥感信息处理不确定性的可视化表达 总被引：2，自引：0，他引：2
如何全面、准确地度量和可视化表达遥感信息处理中不确定性的程度和空间分布方式,是遥感信息不确定性研究的关键问题之一.传统的度量方法(例如误差矩阵)是将以训练样本集为基础的度量作为总分类精度的度量,而我们需要估计模型对于"样本外数据"的性能.本文首先利用信息论和粗糙集理论等度量遥感分类影像属性信息的不确定性,提出基于像元、目标和影像的遥感信息不确定性度量指标;然后分别描述了基于不同度量指标的可视化表达方式,并对我国黄河三角洲地区的Landsat TM影像进行了分类信息不确定性度量和可视化表达实验. 相似文献
12.
SHI Yufeng SHI Wenzhong 《地球空间信息科学学报》2007,10(1):61-66
Spatial data uncertainty can directly affect the quality of digital products and GIS-based decision making. On the basis of the characteristics of randomicity of positional data and fuzziness of attribute data, taking entropy as a measure, the stochastic entropy model of positional data uncertainty and fuzzy entropy model of attribute data uncertainty are proposed. As both randomicity and fuzziness usually simultaneously exist in linear segments, their omnibus effects are also investigated and quantified. A novel uncertainty measure, general entropy, is presented. The general entropy can be used as a uniform measure to quantify the total uncertainty caused by stochastic uncertainty and fuzzy uncertainty in GIS. 相似文献
13.
Spatial data uncertainty can directly affect the quality of digital products and GIS-based decision making. On the basis of the characteristics of randomicity of positional data and fuzziness of attribute data, taking entropy as a measure, the stochastic entropy model of positional data uncertainty and fuzzy entropy model of attribute data uncertainty are proposed. As both randomicity and fuzziness usually simultaneously exist in linear segments, their omnibus effects are also investigated and quantified. A novel uncertainty measure, general entropy, is presented. The general entropy can be used as a uniform measure to quantify the total uncertainty caused by stochastic uncertainty and fuzzy uncertainty in GIS. 相似文献
14.
SHI Yufeng SHI Wenzhong School of Architecture Engineering Shandong University of Technology Zhangzhou Road Zibo China Key Laboratoryof Geospace Environment Geodesy Ministry of Education Wuhan University Luoyu Road Wuhan China. 《地球空间信息科学学报》2007,10(1):61-66
Spatial data uncertainty can directly affect the quality of digital products and GIS-based decision making. On the basis of the characteristics of randomicity of positional data and fuzziness of attribute data, taking entropy as a measure, the stochastic entropy model of positional data uncertainty and fuzzy entropy model of attribute data uncertainty are proposed. As both randomic-ity and fuzziness usually simultaneously exist in linear segments, their omnibus effects are also investigated and quantified. A novel uncertainty measure, general entropy, is presented. The general entropy can be used as a uniform measure to quantify the total un-certainty caused by stochastic uncertainty and fuzzy uncertainty in GIS. 相似文献
15.
Inference and analysis across spatial supports in the big data era: Uncertain point observations and geographic contexts 总被引：1，自引：0，他引：1 
下载免费PDF全文
下载免费PDF全文 The ways in which geographic information are produced have expanded rapidly over recent decades. These advances have provided new opportunities for geographical information science and spatial analysis—allowing the tools and theories to be expanded to new domain areas and providing the impetus for theory and methodological development. In this light, old problems of inference and analysis are rediscovered and need to be reinterpreted, and new ones are made apparent. This article describes a new typology of geographical analysis problems that relates to uncertainties in the relationship between individual‐level data, represented as point features, and the geographic context(s) that they are associated with. We describe how uncertainty in context linkage (uncertain geographic context problem) is also related to, but distinct from, uncertainty in point‐event locations (uncertain point observation problem) and how these issues can impact spatial analysis. A case study analysis of a geosocial dataset demonstrates how alternative conclusions can result from failure to account for these sources of uncertainty. Sources of point observation uncertainties common in many forms of user‐generated and big spatial data are outlined and methods for dealing with them are reviewed and discussed. 相似文献
16.
17.
The Nature of Uncertainty in Historical Geographic Information 总被引：8，自引：1，他引：8
Brandon Plewe 《Transactions in GIS》2002,6(4):431-456
While the presence of uncertainty in the geometric and attribute aspects of geographic information is well known, it is also present in temporal information. In spatiotemporal GIS databases and other formal representations, uncertainty in all three aspects of geography (space, time, and theme) must often be modeled, but a good data model must first be based on a sound theoretical understanding of spatiotemporal uncertainty. The nature of both uncertainty inherent in a phenomenon (often termed indeterminacy) and uncertainty in assertions of that phenomenon can be better understood through the Uncertain Temporal Entity Model , which characterizes the cause, type, and form of uncertainties in the spatial, temporal, and attribute aspects of geographic information. These uncertainties are the result of complexities and problems in two processes: the process of conceptualization, by which humans make sense of an infinitely complex reality, and measurement, by which we create formal representations (e.g. GIS) of those conceptual models of reality. Based on this framework, the nature and form of uncertainty is remarkably consistent across various situations, and is approximately equivalent in the three aspects, which will enable consistent solutions for representation and processing of spatiotemporal data. 相似文献
18.
空间目标不确定性的表达方法及其在GIS中的应用分析 总被引：2，自引：0，他引：2
分析了地理空间目标不确定性的特征和产生机理，建立了空间目标不确定性的分类体系。在此基础上，从方法论的角度分别阐述了处理空间目标不确定性的数学方法，给出了各种数学方法的联系和区别。最后，通过一个实例验证了不同的表达方法可得到不同的结果。 相似文献
19.
《制图学和地理信息科学》2013,40(2):232-242
Communication of natural hazard assessment results is crucial to protect people and infrastructure from devastating impacts of extreme events. While hazard maps provide important information on potential impacts, their interpretation and the general knowledge exchange between stakeholders is often difficult. Web-based information systems contain the potential to support hazard management tasks by fast distribution and customization of hazard visualizations through interactive functionality. Cartographic principles are, however, often ignored in existing web-based visualizations which leads to poor graphical results and consequently to an impairment of the information flow. While these issues need to be solved, a new task is already waiting: the integration of uncertainty information into hazard visualizations. Since many hazard management activities rely on hazard assessment results, communication of associated uncertainties among experts is vital. The challenge of this research is to overcome these existing shortcomings by combining high quality cartographic visualizations of natural hazard data as well as associated uncertainties with interactive functionality. The resulting web-based cartographic information system will convene the needs of natural hazard specialists by offering a high level of customization: the suggested visualizations include various cartographic techniques such as the application of textures, bars, and interpolated surfaces. The possibility to interactively select particular data sets, customize colors, choose dimensions, query attribute data, and include uncertainty information facilitates the interpretation of complex data and finally the communication among natural hazard specialists. In this article we summarize requirements that have to be considered, suggest functionalities necessary to perform natural hazards management tasks, and present a prototype of an expert system for the visualization and exploration of natural hazards assessments results and associated uncertainties. 相似文献