共查询到20条相似文献，搜索用时 171 毫秒
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根据农用地估价的基本原理和方法,以ComGIS为系统开发平台,利用UML技术,从系统整体设计入手,提出了采用多层次用例描述法建立农用地估价信息系统(ALEIS)用例模型的过程,在此基础上介绍了ALEIS设计、编码与测试,最后提出了ALEIS的特点与发展趋势。在农用地估价信息系统开发过程中,利用UML对系统进行建模分析能够取得较好的效果。 相似文献
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本文根据《城市抗震防灾规划标准》GB50413-2007确定的信息系统建设要求,提出了城市抗震防灾规划信息系统构建的整体思路。根据系统目标和特点,基于GIS和数据库技术,文章首先给出了系统数据库分类、存储、访问与功能设计的思路;然后针对抗震防灾规划常用的数学模型,基于数学建模技术提出了模型库设计的具体思路和方法,并探讨了数据库与模型库的链接方法。 相似文献
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基于UML的地籍信息系统开发 总被引：12，自引：0，他引：12
给出了基于UML的地籍信息系统开发过程，并且在UML的Package和扩展机制上，结合CIS特点，提出了UML多层次用例建模方法和基于职责的多层次分析建模方法。 相似文献
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从官方地籍信息系统的发展、与AAA模型的关系及官方地籍信息系统的应用等方面对德国土地信息化的发展现状做了介绍,对其发展趋势做了分析;在此基础上,从地籍数据的应用、与基础测绘的关系和信息系统建模等方面对我国的国土资源信息化工作提出了若干建议。 相似文献
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《测绘文摘》2003,(2)
clu的314”基于uMI二的地籍信息系统开发/崔煦,傅仲咬汗弋汉大学)产武汉大学学报·信息科学版.一2003,28(l)1 05一11() 给出厂幕厂UMI、的地籍信息系统开发过程,并且在uMI的fa(派呱。和扩展tjl制上,结合Cls特点,提出了UMI名层次用例建模方法和基于职责的多层次分析建模方法、}冬,一冬q2l 针对日前国内房产测绘的现状并结合房产勘丈与面积分摊信息系统,阐述房产勘丈与面积分摊信息系统的特点,对系统的设计日标与峨则、功能和数据库设计等进行分析,并目.对系统设计中的若干关键技术问题进行分析并提出解决方案。图z叁3(1489一1491刘敏)Cl… 相似文献
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t-GIS and environmental dynamic models 总被引：2，自引：0，他引：2
WU HongWU Hong Ph.D. Associate Researcher Department of Resource Environment Guilin Institute of Technology Jiangan Road Guilin China 《地球空间信息科学学报》2000,3(3):34-41
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Wu Hong 《地球空间信息科学学报》2013,16(3):34-41
Temporal geographic information system (t-GIS) is a kind of computer information system that can display, process and analyze the micro-format distribution of temporalspatial information of real world. It includes both spatial geographic information and temporal information, and can analyze both the static geographic information and the dynamic geographic information. 相似文献
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基于地理事件时变序列的时空数据模型研究与实现 总被引：14，自引：1，他引：14
首先分析比较了已有的时空数据模型的特点，针对其存在的不足，提出并讨论了一种基于地理事件时变序列的时空数据模型，阐述了该模型的时空语义概念和时空拓扑关系，并针对具体的实际应用，在现有成熟的GIS平台上进行扩展，验证了该数据模型的有效性。 相似文献
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系统回顾了地理信息系统产生以来地理信息内涵发展与拓展的主要历程,指出地理信息的定义一直是在"空间+属性"的地图信息基本框架下逐步扩展,其发展历程经历了地图GIS、语义GIS、时空GIS和大数据GIS 4个不同的阶段,但仍无法满足时空大数据的分析和应用需求。从地理学研究的对象和内容出发,对地理学所需要的"地理信息"的内涵和外延进行了系统的梳理总结,提出了涵盖"空间定位""语义描述""属性特征""几何形态""演化过程""要素相互关系"的地理信息六要素表达模型。在地理定律和地理规律的指导下,面向地理现象空间分布、时空格局、演化过程、相互作用机理的集成表达、系统分析和高效管理,设计了六要素集成表达的几何代数统一GIS数据模型、地理规律与相互作用驱动的新型GIS数据结构、非结构化时空数据组织与存储等关键技术,为测绘地理信息走向地理科学信息提供了另一个理论基础与技术方法支撑,有助于提升GIS对地理格局、演化过程和要素相互作用等地理规律的组织、管理、表达和分析能力。 相似文献
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Assessing Similarity of Geographic Processes and Events 总被引：6，自引：0，他引：6
The increased availability of spatiotemporal data collected from satellite imagery and other remote sensors provides opportunities for enhanced analysis of geographic phenomena. Much of the new data includes regular snapshots of the environment. Comparison of these snapshots can provide information about changes to the phenomena of interest. However, conventional GIS data models and analytical tools lack capabilities to adequately handle massive multidimensional data. One of the fundamental tools necessary to meet such challenges is query support to retrieve and summarize data according to dynamic geographic phenomena, such as geographic events and processes, of interest. Such query support depends upon abilities to assess spatiotemporal similarity so that data representing geographic events that exhibit the spatiotemporal characteristics of interest can be identified in a GIS database. To this end, this paper introduces a method to assess similarity of geographic events and processes (such as storms) based on their spatiotemporal characteristics (such as distribution of precipitation). We developed six indices to capture static and dynamic characteristics of geographic events and applied the Dynamic Time Warping method to temporal sequences of the six indices to examine the similarity among these events. With a case study, we demonstrated the proposed indices and method capable of comparing spatiotemporal characteristics of events as recorded in a GIS database and categorizing spatiotemporal data into groups of events according to their behavior in space and time. 相似文献
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随着全球范围移动互联网的高速发展，人们作为"传感器"行走在真实社会中制造实时的、实地环境的、大范围的地理信息，特别是具有互动性和实时性的区域环境状况的地理信息。这类数据具有交互性、实时性、丰富性、社会性等特点，成为数据科学家眼中的金矿。基于"互联网+"时代背景，随着移动互联网、移动GIS技术和LBS技术日趋成熟，本文提出了基于移动GIS的生态环境智能感知方法，开发基于Android平台的APP，实现查询环境质量指数、查看环境污染地图、污染一键分享和解决等功能，从大众的视角感知和获取生态环境信息，为大众提供实时动态环境信息查询方式，引导鼓励公众参与环境保护，提供治理环境污染和地理信息资源获取的新思路。 相似文献
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This paper integrates genetic algorithm and neural network techniques to build new temporal predicting analysis tools for
geographic information system (GIS). These new GIS tools can be readily applied in a practical and appropriate manner in spatial
and temporal research to patch the gaps in GIS data mining and knowledge discovery functions. The specific achievement here
is the integration of related artificial intelligent technologies into GIS software to establish a conceptual spatial and
temporal analysis framework. And, by using this framework to develop an artificial intelligent spatial and temporal information
analyst (ASIA) system which then is fully utilized in the existing GIS package. This study of air pollutants forecasting provides
a geographical practical case to prove the rationalization and justness of the conceptual temporal analysis framework. 相似文献
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This paper integrates genetic algorithm and neural network techniques to build new temporal predicting analysis tools for geographic information system (GIS). These new GIS tools can be readily applied in a practical and appropriate manner in spatial and temporal research to patch the gaps in GIS data mining and knowledge discovery functions. The specific achievement here is the integration of related artificial intelligent technologies into GIS software to establish a conceptual spatial and temporal analysis framework. And, by using this framework to develop an artificial intelligent spatial and temporal information analyst (ASIA) system which then is fully utilized in the existing GIS package. This study of air pollutants forecasting provides a geographical practical case to prove the rationalization and justness of the conceptual temporal analysis framework. 相似文献
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This paper integrates genetic algorithm and neural network techniques to build new temporal predicting analysis tools for geographic information system (GIS). These new GIS tools can be readily applied in a practical and appropriate manner in spatial and temporal research to patch the gaps in GIS data mining and knowledge discovery functions. The specific achievement here is the integration of related artificial intelligent technologies into GIS software to establish a conceptual spatial and temporal analysis framework. And, by using this framework to develop an artificial intelligent spatial and temporal information analyst (ASIA) system which then is fully utilized in the existing GIS package. This study of air pollutants forecasting provides a geographical practical case to prove the rationalization and justness of the conceptual temporal analysis framework. 相似文献