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海量城市空间数据的文件管理方法及应用 被引量:1
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作者 张保钢 《测绘通报》 CSCD 北大核心 2002年第9期48-50,共3页
提出一种海量城市空间数据的文件管理方法 ,给出相应算法。对北京市 4D产品数据的管理实验表明 ,该方法是一种投资少 ,见效快的实用方法。
关键词 地理信息系统 文件 空间数据管理 GIS 海量城市
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城市海量数据中心信息资源交换共享体系架构研究 被引量:3
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作者 邢诒海 黄庆 +2 位作者 葛燕 姚欣研 朱淑华 《信息技术与信息化》 2018年第4期150-152,共3页
城市海量数据中心存储了智慧城市和数字政府发展到一定阶段积累起来的所有信息资源,本文阐述了城市海量数据中心信息资源交换共享体系的总体架构,着重介绍了信息资源交换共享平台,为构建信息资源全流通体系,推动政府信息资源的分级治理... 城市海量数据中心存储了智慧城市和数字政府发展到一定阶段积累起来的所有信息资源,本文阐述了城市海量数据中心信息资源交换共享体系的总体架构,着重介绍了信息资源交换共享平台,为构建信息资源全流通体系,推动政府信息资源的分级治理、跨部门交换共享和业务协同提供有力支撑,可为其他城市的城市海量数据中心信息资源交换共享体系建设提供参考。 展开更多
关键词 城市海量数据中心 信息资源 交换共享 体系架构
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城市三维场景的逆过程式建模与混合渲染方法 被引量:4
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作者 周圣川 马纯永 陈戈 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2015年第1期88-97,共10页
针对大规模城市场景受制于数据规模,难以实现完整场景的视觉无损渲染的问题,提出一种基于过程式纹理重构和混合层次细节(LOD)模型的渲染方法.首先提取纹理中的重复与对称特征,构造纹理的过程式语法表示,实现了约70%的数据压缩,并且用户... 针对大规模城市场景受制于数据规模,难以实现完整场景的视觉无损渲染的问题,提出一种基于过程式纹理重构和混合层次细节(LOD)模型的渲染方法.首先提取纹理中的重复与对称特征,构造纹理的过程式语法表示,实现了约70%的数据压缩,并且用户可以直接控制过程式语法的生成;然后通过几何模型采样创建点、线和多边形混合的LOD表示并编码存储;最后根据屏幕空间投影面积选择LOD模型进行渲染.实验结果表明,与原始模型和几何LOD方法相比,该方法分别实现了约10倍和5倍的渲染加速,可以实时渲染城市级大场景;在大幅度提高渲染效率的同时,基于72个个体样本的用户感知评价测试和基于动态范围无关算法的自动化测试结果证明,该方法渲染结果的视觉质量与原始模型相比无显著差异,是一种视觉无损渲染方法. 展开更多
关键词 海量城市模型 逆过程式建模 层次细节模型 混合渲染 感知评价
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Theoretical and Empidcal Study on Urban Population Carrying Capacity:Case of Haidian District in Beijing 被引量:1
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作者 Zhang Lihua Chert Gang +1 位作者 Xu Xiaoxin Liu Huiwu 《Chinese Journal of Population,Resources and Environment》 北大核心 2008年第2期25-30,共6页
The measurement of urban population carrying capac- ity is the basis for cities' sustainable development.However,the traditional study on population carrying capacity which was based on food supply is not applicab... The measurement of urban population carrying capac- ity is the basis for cities' sustainable development.However,the traditional study on population carrying capacity which was based on food supply is not applicable to the single urban area.This paper built a model for the analysis of urban carrying capacity, and took Haidian District in Beijing as an example to calculate the urban carrying capacity of Haidian District in the future,which was the basis for the improvement of the population carrying capacity.This study would also provide a reference to the meas- urement of the urban population carrying capacity for other cities and districts in China. 展开更多
关键词 population carrying capacity sustainable development case study
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Quantitative Assessment of Climate Carrying Capacity for Cities: A Case Study of Shanghai City 被引量:4
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作者 闫胜军 王烜 +1 位作者 曾维华 崔冠楠 《Journal of Resources and Ecology》 CSCD 2017年第2期196-204,共9页
The concept of climate carrying capacity has been proposed recently for climate risk management. Based on identification of the concept of climate carrying capacity and analysis of the relationship among its influenci... The concept of climate carrying capacity has been proposed recently for climate risk management. Based on identification of the concept of climate carrying capacity and analysis of the relationship among its influencing factors, this study established a comprehensive assessment indicator system of climate carrying capacity from aspects of the climate situation, the level of climate usage, and the development potential of cities. Taking Shanghai City as a case study, we developed a quantitative assessment model of climate carrying capacity. The climate carrying capacity and its influencing factors were analyzed and discussed in relation to the period 2004–2013. The results were as follows.(1) Current climate natural capacity indicator showed that the climatic situation of Shanghai City was inferior to its base climatic value and it had been in a state of fluctuation.(2) The climate stress and urban coordinated development capacity indicators increased steadily, but the growth rate of the urban coordinated development indicator was less than the growth rate of urban climate stress.(3) The climate carrying capacity was far lower than the benchmark value and it had been in a state of fluctuation mainly due to the effect of current climate situation.(4) According to a principal component analysis, seven factors of urban population density, per capita GDP, energy consumption per unit GDP, total industrial output value, investment in environment protection, spending on science and technology, and green area per capita were main influential factor of climate carrying capacity. It was proved that the proposed system for assessment of climate carrying capacity of a city was feasible. It can be used to describe the spatiotemporal changes of cities, and identify problems of regional climate carrying capacity associated with their development and function. This assessment system can provide a reference for the construction of an early warning system of climate carrying capacity for cities. 展开更多
关键词 climate carrying capacity quantitative assessment climate of cities Shanghai City
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