摘要
社会经济数据空间化,是连接自然和人文要素的重要方法,受到广泛关注。以西安地区为例,结合覆盖西安地区的1km、500m、250m尺度矢量格网,采用单位面积建设用地人口数量和GDP产值进行网格赋值方法,对区域内2010年人口和GDP实现空间化,结果表明:(1)格网是实现社会经济统计数据空间化的重要方法和途径;(2)以人口和GDP为代表的不同类型统计数据在利用格网空间化过程中表现出明显差异,人口数据空间化准确性随格网尺度的减小而增加,而GDP表现相反;(3)行政边界在人口和GDP数据空间化方面作用较小,可不予考虑。
Spatialization of social-economic data is an important way to connect natural and human factors and gets more attention in widespread. Taking Xi＇an area as an example, the grids of 1 km, 500 m and 250 m scale in Xi＇an area are used to achieve spatialization of population and GDP in 2010 by grid assignment method of population and GDP of per unit built-up land area. The results showed that：（1） grid was an important method and way to achieve spatialization of social and economic statistics data.（2） Population and GDP as a representative of different statistical data showed significant differences in the process of spatialization by grid. The accuracy of spatialization result of population was increase with decreasing of grid scale, while GDP was opposite.（3） The effects of administrative boundary was less in the process of population and GDP spatialization and it was unnecessary to consider.
出处
《地理信息世界》
2016年第2期74-78,共5页
Geomatics World
基金
西安科技大学培育基金项目(2014007)资助
