CAJ | 학술논문

人口分布是人文科学的重要研究对象。如何在数据不足的情况下获得较为符合实际的人口分布数据是业界的一大难题。为了解决这个问题，本文依照人口分布的规律，以人口统计数据、高程、海岸线、城市中心、河流和行政区划为影响因子，通过距离计算、重分类、加权计算等方法，建立了加权人口密度连续分布模拟模型，并进行了改进。基于2011年的福建省县级人口统计数据，本文在ArcGIS平台上模拟了该省的人口密度空间分布，模拟结果表明：各县人口总数误差与平均人口误差在40%以下的百分比分别为89%与84%，突出了福建省在城市中心、沿海、沿江，以及平原地区的人口聚集规律；各个县级行政区域内的数据集中，相对独立；县与县之间的区分边界数据又相互联系，变化连续，符合人口分布的实际情况。该模型相比于其他的人口模型易于理解，结构简单，可应用于各省的人口密度分布模拟，能有效地解决人口数据不足的问题。
인구분포시인문과학적중요연구대상。여하재수거불족적정황하획득교위부합실제적인구분포수거시업계적일대난제。위료해결저개문제，본문의조인구분포적규률，이인구통계수거、고정、해안선、성시중심、하류화행정구화위영향인자，통과거리계산、중분류、가권계산등방법，건립료가권인구밀도련속분포모의모형，병진행료개진。기우2011년적복건성현급인구통계수거，본문재ArcGIS평태상모의료해성적인구밀도공간분포，모의결과표명：각현인구총수오차여평균인구오차재40%이하적백분비분별위89%여84%，돌출료복건성재성시중심、연해、연강，이급평원지구적인구취집규률；각개현급행정구역내적수거집중，상대독립；현여현지간적구분변계수거우상호련계，변화련속，부합인구분포적실제정황。해모형상비우기타적인구모형역우리해，결구간단，가응용우각성적인구밀도분포모의，능유효지해결인구수거불족적문제。
Human population distribution is an important parameter to science research, but the security of popu-lation data leads to the dilemma that many researchers cannot acquire the population distribution figures, which is of significance in their work. To solve this problem, this paper concludes the rules of population distribution pattern and determines the statistics data , administration divisions, evaluation, and the distance to coast, city cen-ter and river, as the factors of this pattern. Based on this pattern, an algorithm is built to simulate the spatial distri-bution of population by the distance calculating, reclassifying and weighted calculating. The algorithm is trans-formed into work flow model which simulated the population spatial distribution of Fujian in 2011 and is im-proved in the way how the data was classified and how the edge between counties was manipulated. After ex-tracting slope information from the DEM and calculating the distance to county centers, city centers, rivers and the coast, the model classified the slope DEM and distance data into different types by the 1/4 Standard Devia-tion (to decide how many categories should be classified) and Quantile (to decide the range of every classifica-tions). Then, a general effect cost raster was worked out. Following the summary of the maximum and minimum of the cost in each county, the premier allocation of population was reckoned upon the normalized effect cost ras-ter. However, the edge between counties and the discontinuous between raster cells lead to the improvement of classify method and the interpolation of statistics data. This is improved by the continuous classify method, the calculation of effect cost and weighted population density. The simulated result shows population gathers around cities, along the coast and rivers, and on plain areas. What is more, the data inside counties emphasis its center ef-fects and the data at the edge is connected with adjacent counties in a continuous way, which is more likely to comply with the population distribution in reality. It is about 89%and 84%of the total number of the counties whose errors of the total population and average population density in each county are below 40%. Compared to the average population density of each county, the simulation method that considers terrain is more suitable for researches in other fields and is more understandable.