本文選題：GIS + WebGIS　； 參考：《蘭州大學(xué)》2011年碩士論文

【摘要】：本研究以《地球系統(tǒng)科學(xué)數(shù)據(jù)共享網(wǎng)》的《歷史人口與環(huán)境變遷數(shù)據(jù)》和已數(shù)字化的《中國歷史地圖集》為基礎(chǔ)數(shù)據(jù),通過對(duì)幾種常用插值方法的比較和分析,得出了適用于歷史人口密度插值的方法,并使用此方法對(duì)歷史人口數(shù)據(jù)進(jìn)行插值,得到歷代人口密度分布圖。并以上述工作為基礎(chǔ),結(jié)合WebGIS技術(shù),制作了歷史人口分布查詢檢索系統(tǒng)。主要研究結(jié)果如下： 五種面插值方法插值結(jié)果與統(tǒng)計(jì)數(shù)據(jù)非常接近,但是相鄰兩地區(qū)在行政區(qū)劃邊界線內(nèi)外數(shù)值非線性變化明顯；行政中心點(diǎn)控制下的點(diǎn)插值方法雖然能夠克服上述缺點(diǎn),但是得出的人口總數(shù)比統(tǒng)計(jì)人口總數(shù)大得多；多點(diǎn)控制下的點(diǎn)插值方法插值結(jié)果與統(tǒng)計(jì)數(shù)據(jù)非常接近,但是也存在行政區(qū)劃邊界上數(shù)值突變的現(xiàn)象；基于研究區(qū)外圍調(diào)節(jié)點(diǎn)控制下的點(diǎn)插值方法能夠較好地反映人口空間分布變化的特點(diǎn),統(tǒng)計(jì)表明插值結(jié)果得出的人口總數(shù)是同時(shí)期統(tǒng)計(jì)人口總數(shù)的98.8%,因此該方法可以用于人口數(shù)據(jù)的插值。 本研究中使用基于研究區(qū)外圍調(diào)節(jié)點(diǎn)控制下的點(diǎn)插值方法對(duì)《中國歷史地圖集》中的歷史人口數(shù)據(jù)進(jìn)行了插值,得到了歷代人口密度分布圖。 結(jié)合當(dāng)前最新的WebGIS技術(shù),研發(fā)了歷史人口分布WebGIS網(wǎng)站,實(shí)現(xiàn)了顯示不同歷史時(shí)期行政區(qū)劃的基本信息；點(diǎn)擊查詢不同歷史時(shí)期的行政歸屬和人口密度信息；檢索查詢不同歷史時(shí)期某一地區(qū)的行政歸屬和人口密度信息等功能。為中國歷代人口分布及變化的研究提供了數(shù)據(jù)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.
【學(xué)位授予單位】：蘭州大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2011
【分類號(hào)】：C924.25;P208

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 呂紅梅;基于B/S模式的氣象裝備管理系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)[D];電子科技大學(xué);2012年

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本文編號(hào)：1843724