The purpose of the thesis is to utilize UML to improve GIS figure modeling and apply to figure modeling course with GIS linear data simplifying and automatic cartographic generalization.
本文的目的是利用UML改进GIS图形建模，并运用于对自动制图综合和GIS线状数据的简化的图形建模过程。
It is a process of spatial knowledge discovery and data mining. It sums up a modeling problem of the GIS-based reservoir evaluation.
其本身就是一个空间知识发现和挖掘的过程，实质可归结为基于GIS的油气储层评价建模问题。
The GIS semantic data modeling approach has been used as a tool to design the needed conceptual model.
采用语义数据模型的方法，提出利用地理特征这一概念作为建模的基本概念。
The application of GIS technology to the process of atmospheric pollutant dispersion modeling were discussed, including boundary definition, initial state, data preparation and result visualization.
初步探讨了GIS技术在大气质量模型建模过程中在定义边界和初始条件、数据准备、模型运行处理、可视化结果表现等方面的应用。
Data modeling is a key basis to establish a GIS application system. Thus, the construction of data model of urban public transport will lay the foundation for GIS-T application in this field.
数据模型是GIS应用系统建设的核心和基础，城市公共交通行业数据模型的建立可以为GIS - T在该行业的应用奠定基础。
DEM takes an important part in spatial data analysis and modeling, which is the heart of GIS.
空间数据分析和建模是地理信息系统的核心，DEM是空间数据的重要内容。
This paper adopts spatial data and GIS methods modeling and exploring the spatial factors of urban expansion in Nanjing during 1988-2001 and 2001-2007.
应用各种空间数据和GIS分析方法，建模并探索1988- 2001年和2001 - 2007年两个时段影响南京城市扩展的空间要素及其关系。
The unified modeling language (UML) is an object-oriented and strictly defined visualizing data modeling language. It has been gradually adopted in analysis and design of GIS application engineering.
统一建模语言（UML）是一种面向对象、定义明确的可视化系统建模语言，在地理信息系统工程的分析和设计中已逐渐被采用。
In order to enhance the ability of modeling fuzzy phenomena, the fuzzy set theory is introduced into GIS, which produces fuzzy spatial data.
为了描述空间数据的模糊性，把模糊集理论引入GIS，以加强GIS对模糊现象建模的能力，因而产生了模糊数据。
In order to enhance the ability of modeling fuzzy phenomena, the fuzzy set theory is introduced into GIS, which produces fuzzy spatial data.
为了描述空间数据的模糊性，把模糊集理论引入GIS，以加强GIS对模糊现象建模的能力，因而产生了模糊数据。
应用推荐