李德仁, 丁霖, 邵振峰. 关于地理国情监测若干问题的思考[J]. 武汉大学学报 ( 信息科学版), 2016, 41(2): 143-147. DOI: 10.13203/j.whugis20150555
引用本文: 李德仁, 丁霖, 邵振峰. 关于地理国情监测若干问题的思考[J]. 武汉大学学报 ( 信息科学版), 2016, 41(2): 143-147. DOI: 10.13203/j.whugis20150555
LI Deren, DING Lin, SHAO Zhenfeng. Reflections on Issues in National Geographical Conditions Monitoring[J]. Geomatics and Information Science of Wuhan University, 2016, 41(2): 143-147. DOI: 10.13203/j.whugis20150555
Citation: LI Deren, DING Lin, SHAO Zhenfeng. Reflections on Issues in National Geographical Conditions Monitoring[J]. Geomatics and Information Science of Wuhan University, 2016, 41(2): 143-147. DOI: 10.13203/j.whugis20150555

关于地理国情监测若干问题的思考

Reflections on Issues in National Geographical Conditions Monitoring

  • 摘要: 地理国情是基本国情的重要组成部分,具体包括地表自然要素、人文地理要素和社会经济信息的空间分布特征及其相互关系。当前,我国第一次地理国情普查工作已经完成,正在开展普查数据的整理、汇总、统计分析,未来还将开展地理国情常态化监测。本文针对第一次地理国情普查工作进行总结,并对地理国情监测的若干问题进行讨论,从地理国情监测内容、监测尺度、监测单元、监测模型、监测频率等多个方面剖析开展地理国情监测所面临的问题,并提出发展建议。

     

    Abstract: National geographical conditions are an important part of the basic national conditions, including spatial distribution and relationships among natural elements, cultural elements, and socio-economic information. The first national geographical census in China has recently been completed and geographical conditions monitoring has entered a phase of organization, summarization, and statistical analysis of census data. In the future, routine geographic conditions monitoring will be carried out. In this paper, some issues about contents, scales, units, models,and frequency of geographical conditions monitoring are discussed. Firstly, in addition to the existing census contents, impervious surface and socio-economic information necessary to obtain, a comprehensive national geographical conditions should be paid much attention. Secondly, suitable scales, units of monitoring, and statistics must be determined to make monitoring results more accurate. Thirdly, based on different requirements, corresponding monitoring models must be constructed for statistical data analysis. Finally, scientific monitoring plans ought to be made on the basis of characteristics and change rules of monitoring elements.

     

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