摘要
以GIS技术和SPSS软件为工具,根据巴马瑶族自治县人口统计数据,分析了该县各乡镇平均人口密度与地形指数、土地利用、主要道路和河流水系等因素的相关关系。通过分析各影响因子对人口分布的影响权重,运用多源数据融合技术进行了人口统计数据的空间化。结果显示,通过数据融合产生的人口密度与巴马县各乡镇的实际人口密度的相关性大于0.9,最终生成的栅格人口密度数据不但与巴马县统计型人口数据保持一致,还反映了各乡镇内部人口分布的空间变化。
This paper took GIS technology and SPSS software as tools and analyzed the correlation between the county towns average population density and topographic index, land use, main roads,river drainage according to the demographic data of Bama Yao Autonomous County. Through analyzing the impact weight of each influencing factor on the population distribution, it used the multisource data fusion technology to spatialize the demographic data.The results show that the correlation between the population density generated from data fusion and the actual population density in every townships of the Bama County is larger than 0.9. Besides, the resulting raster population density data is consistent both with the statistical population data of Bama County, but also reflects the spatial variation of the population distribution within each township.
出处
《地理空间信息》
2013年第5期74-77,12,共4页
Geospatial Information
基金
国家自然科学基金资助项目(40961004)
关键词
巴马县
人口
统计数据
空间化
Bama County,population,statistic data,spatialization
