中国历代人口分布的GIS表述

发布时间：2018-05-04 16:20

本文选题：GIS + WebGIS　；参考：《兰州大学》2011年硕士论文

【摘要】：本研究以《地球系统科学数据共享网》的《历史人口与环境变迁数据》和已数字化的《中国历史地图集》为基础数据,通过对几种常用插值方法的比较和分析,得出了适用于历史人口密度插值的方法,并使用此方法对历史人口数据进行插值,得到历代人口密度分布图。并以上述工作为基础,结合WebGIS技术,制作了历史人口分布查询检索系统。主要研究结果如下：五种面插值方法插值结果与统计数据非常接近,但是相邻两地区在行政区划边界线内外数值非线性变化明显；行政中心点控制下的点插值方法虽然能够克服上述缺点,但是得出的人口总数比统计人口总数大得多；多点控制下的点插值方法插值结果与统计数据非常接近,但是也存在行政区划边界上数值突变的现象；基于研究区外围调节点控制下的点插值方法能够较好地反映人口空间分布变化的特点,统计表明插值结果得出的人口总数是同时期统计人口总数的98.8%,因此该方法可以用于人口数据的插值。本研究中使用基于研究区外围调节点控制下的点插值方法对《中国历史地图集》中的历史人口数据进行了插值,得到了历代人口密度分布图。结合当前最新的WebGIS技术,研发了历史人口分布WebGIS网站,实现了显示不同历史时期行政区划的基本信息；点击查询不同历史时期的行政归属和人口密度信息；检索查询不同历史时期某一地区的行政归属和人口密度信息等功能。为中国历代人口分布及变化的研究提供了数据和方法的支持。
[Abstract]:Based on the data of Historical population and Environmental change of the Earth system Science data sharing Network and the digitized Atlas of Chinese History, this paper compares and analyzes several interpolation methods commonly used. The method of historical population density interpolation is obtained, and the historical population density distribution map is obtained by using this method to interpolate the historical population data. Based on the above work and WebGIS technology, a historical population distribution query and retrieval system is developed. The main findings are as follows: The interpolation results of the five surface interpolation methods are very close to the statistical data, but the numerical nonlinearity of the two adjacent regions within and outside the borderline of the administrative division is obvious, although the point interpolation method under the control of the administrative center point can overcome the above shortcomings, But the total population is much larger than the statistical population, the interpolation result of the point interpolation method under the multi-point control is very close to the statistical data, but there is also the phenomenon of a numerical abrupt change in the boundary of the administrative division. Based on the point interpolation method under the control of the peripheral adjustment points in the study area, the point interpolation method can better reflect the characteristics of the spatial distribution of the population. Statistics show that the total population obtained by interpolation is 98.8 percent of the total population in the same period, so this method can be used to interpolate the population data. In this study, the historical population data in the Historical Atlas of China were interpolated using the point interpolation method based on the control of the peripheral adjustment points in the study area, and the population density distribution map of the past dynasties was obtained. Combining with the latest WebGIS technology, this paper develops the WebGIS website of historical population distribution, which can display the basic information of administrative divisions in different historical periods, and query the information of administrative ownership and population density in different historical periods. The functions of searching for information on administrative ownership and population density of a region in different historical periods are retrieved. It provides data and methods for the study of population distribution and change in China.
【学位授予单位】：兰州大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：C924.25;P208

【引证文献】