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The Research on Spatial Method about Population Distribution of China from Ancient to Nowadays

Author: WangZhiWei
Tutor: ChenQuanGong
School: Lanzhou University
Course: Grass industry geographic information
Keywords: population distribution population density spatial pattern population information system area interpolation spatial modeling discrimination
CLC: C922
Type: Master's thesis
Year: 2010
Downloads: 214
Quote: 2
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Abstract

Human beings, who constitute the main body of the community, its description of the geographical distribution are population distribution. The form of spatial distribution of population possesses historic properties and it also under the influence of the current productivity factors. It is a reflection of the natural environment and socio-economic status. At the same time, population distribution has a profound effect on natural environmental evolution and socio-economic development. Population distribution which is combined with geographic information systems can better reveal the changes, characteristics as well as its background. It laid a solid foundation for the relevant natural and human science research.The methods of population spatial distribution can be mainly attributed to two: area interpolation and spatial modeling. Interpolation area of population density is an average value in the area which was used to study. There are many shortcomings for this method. It not only does not distinguish the differences within the study area but also the change between the different study areas is too significant. Spatial modeling considers that a variety of factors impact on the population distribution, but there are still too many indicators and hardly prove the problems which have a closely relationship. The result of population interpolation is far more realistic than the average population density traditionally. By the way, using many factors to solve a single and large-scale system just at one time is not accurate enough. Because if there are too many factors, which is not easy to get value and figure out the relationship between each other. Population interpolation can get a rough result which can be tested, then modifying the result, which is easier and more accurate than other methods.Several widely used methods were compared in spatial distribution of population for BayanNur city by us, which were based on Census Data of 2000. The results showed that:The gap between the research area gross population that obtained by five surface interpolation methods and the research area statistical data does not over 0.1%. But it has the shortcoming that values of neighboring two areas have the non-linear great change in theirs administrative regionalization boundary inside and outside. Although the administrative central point as control point spot interpolation method can overcome the fore cited shortcoming, however, the research area gross population obtains from it is more than 4 times in construct to its statistics gross population. Obviously, it cannot be taken as the result of population distribution. The method of many spot as control point spot interpolation obtains the research area gross population account for 3/4 of its statistics gross population.Even though control points have already enough for this method, whereas it still could not overcome the shortcoming which was cited in the former content. Simultaneously, it also cannot be taken as the result of population distribution; The research area periphery adjustment points as control points spot interpolation method obtains the research area gross population take 98.22% of its statistics gross population, and it can overcome the fore cited shortcoming. The result about the distribution of population is consistent with the conclusion which was put forward by Mr. Hu Huanyong. He pointed out that the distribution of population in the east of Aihui-Tengchong line is an extremely high population density area; the area which located at the east part of it is all extremely rare to see human beings, that is to say, its density is a small number. Hence we use the method carries on the population distribution specialization interpolation to the national population data. Finally, our grid nation population density chart and the farming and animal husbandry interlock the belt chart and then carry on 22 comparisons for each grid evaluation. The result showed that the population density and the farming and animal husbandry interlock the belt the uniformity is 0.6413.Based on the digital map and the population data of Western Han Dynasty, we used GIS completed the map of distribution in population density and population density classification chart. From the two maps and related information, we can easily infer the final result that the spatial patterns of China’s population in Western Han Dynasty is larger in the middle and lower reaches of the Yellow River region and smaller in south of China. We researched the reasons on the basis of the result. It is evident to be seen that it formed under the huge role, which including natural factors,political factors and historical factors and so on.

The Research on Spatial Method about Population Distribution of China from Ancient to Nowadays

Abstract

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