| 人口数据空间化表达与应用 |
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| 引用本文： | 叶宇,刘高焕,冯险峰.人口数据空间化表达与应用[J].地球信息科学,2006,8(2):59-65. |
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| 作者姓名： | 叶宇 刘高焕 冯险峰 |
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| 作者单位： | 中国科学院地理科学与资源研究所,北京,100101;中国科学院研究生院,北京,100039;中国科学院地理科学与资源研究所,北京,100101 |
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| 摘 要： | 人口数据空间化是“数字地球”的重要研究内容。本文在介绍人口空间分布研究的基础上,从人口分布影响因子、土地利用等空间数据的应用、构建间接的人口指标、人口数据空间化建模以及城市人口数据空间化五个方面,回顾了人口数据空间化研究的最新进展,并简要阐述了面插值的概念及其对人口数据空间化研究的意义。在总结前人相关研究的基础上,本文以福建省为研究区,在栅格数据模型的支持下,通过多源信息融合,从乡镇行政区划的尺度上对人口数据空间化模拟进行了尝试。
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| 关 键 词： | 人口分布 空间化 统计数据 面插值 |
| 收稿时间： | 02 16 2005 12:00AM |
| 修稿时间： | 05 17 2005 12:00AM |
Presentation of Spatial Distribution of Population and Its Application |
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| YE Yu,LIU Gaohuan,FENG Xianfeng.Presentation of Spatial Distribution of Population and Its Application[J].Geo-information Science,2006,8(2):59-65. |
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| Authors: | YE Yu LIU Gaohuan FENG Xianfeng |
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| Institution: | 1. Institute of Geographic Sciences and Natural Resource Research, CAS, Beijing 100101, China;
2. Graduate School of Chinese Academy of Sciences, Beijing 100039, China |
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| Abstract: | Spatial distribution of population is a key content of "Digital Earth". On the basis of essential theories of population distribution, the authors review the progress of research on spatial distribution of population based on GIS and RS from five aspects: 1) factors influencing population distribution and relationships among them; 2) application of spatial data, such as land use infrastructure; 3) indirect population index; 4) modeling of the spatial distribution of population; and 5) spatial distribution of urban population. Finally, under the support of grid data model, this paper applied Remote Sensing data, terrain data, traffic data, river data, resident data, and socio-economic statistics to calculate the spatial distribution of population in Fujian province at township level. |
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| Keywords: | population distribution spatial distribution statistical data areal interpolation |
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