摘要
传统的人口统计数据一般是以行政区划为单元的二维表格数据，这种数据不能以直观的形式表达人口在自然地理空间和人文地理空间的分布与格局。目前多采用的按面积平均或单因子影响权重的人口离散化方法，仍然不能很好地模拟人口的实际空间分布。研究表明土地利用类型、地形坡度、河流、道路以及城镇居民点对人口分布有较大影响，通过较为客观的方式赋予各影响因子对人口分布的影响权重，提出了人口加权多因子离散化模型，并依据该模型对重庆地区的人口统计数据进行了离散。最终生成的栅格人口密度数据既与区县统计人口数据保持一致，又反映了各市县内部人口分布的空间变化。
The traditional population statistic data is generally a two - dimensional form data which takes administrative regionalization as unit. It cannot express spatial distribution of the population in natural geography space and social geography space. The methods, which shares equally by area or single factor influence weight and used frequently to spatialize population data at present, cannot simulate the spatial distribution of the population in real world. It is indicated by the research that the type of soil, the gradient of terrain, the distance to rivers and roads and the position of residential area will exert a great influence on the population distribution. With endowing weight to factors objectively, this text puts forward a new spatial model. Moreover, according to the model, this text spatializes the population data of Chongqing. The generated grid data cannot only maintain consistently with the population data of administrative regionalization, but also can reflect spatial variation of the population in administrative regionalization.
出处
《后勤工程学院学报》
2007年第3期83-87,共5页
Journal of Logistical Engineering University
