中文摘要：

人口空间分布具有典型的尺度特征，精细尺度的人口分布是当前人口地理学研究的热点和难点。乡镇（街道）是中国人口普查数据公开发布的最小行政单元，乡镇级人口密度计算及其分布特征研究能够更客观、精细地刻画中国人121分布的空间格局和态势，为促进中国人口的合理优化布局提供科学依据和决策支持。本文收集处理了2000年中国25个省（直辖市、自治区）的乡镇（街道）级行政边界数据，基于第五次人口普查乡镇（街道）人口统计数据，计算了乡镇级平均人口密度。采用Lorenz曲线、空间分析及样带分析的方法，分析了研究区乡镇（街道）人口分布的疏密结构、空间集聚性、纬向和经向规律。利用相关分析和逐步回归分析，分省探究了地形起伏度、水网密度、路网密度及社会经济发展水平（利用夜间灯光指数表征）等4个因素对于乡镇级人口分布的影响。研究表明：①乡镇级平均人121密度能够有效区分出县域内部的人口密度高低差异，整体不均衡性高于基于县级平均人IZl密度的研究结果；②乡镇（街道）人口分布总体规律是西北稀疏东南密集，同时，东南密中有疏，西北疏中有密；③乡镇（街道）人口分布的经纬向规律变异较大，既受中国三级阶梯地貌大势的影响，也受局部微地形及区域中心城市的影响，并和海岸线、交通枢纽及大江大河的分布具有一定的空间耦合性。④乡镇级平均人口密度与地形起伏度、水网密度、路网密度及夜间灯光指数等显著相关，省级平均相关系数分别为-0．56、0．28、0．61、O．69。⑤在乡镇尺度上，地形条件及区域发展水平对辽、吉、京、津、沪、冀、豫、陕、晋、鲁、皖、苏、湘、鄂、赣、浙、闽、粤、琼等省份的人口分布具有较强的决定作用。⑥对于藏、青、蒙、滇、黔等5省或自治区?

英文摘要：

Spatial pattern of population distribution has a typical character of scale dependency. Fine-scale estimation of the population distribution has been a huge challenge in the field of population geography. In China, township is the finest administrative unit in official population census data. Thus, population density data at township level can be used to describe and characterize the population spatial pattern and changes elaborately, and support optimized layout plan of Chinese population, and government policy decision making. Township boundaries across 25 provinces in China had been collected in this study. The 5th national population census data was spatially joined to the boundary layer for population density calculation. Methods of Lorenz curve, geo-spatial analysis, and latitude/longitude transect had been applied to reveal the agglomeration degree, spatial patterns of population distribution with latitude and longitude. Based on the correlation and stepwise regression analysis, four variables, including relief degree of land surface （RDLS）, water system density （WSD）, road system density （RSD） and nighttime light index （NTL）, were introduced to check the variety of population distribution in each province. The results showed that： （1） the variety of population distribution can be distinguished clearly by the mean population density on township scale than that of county level. （2） The overall population distribution can be characterized as dense in the southeast and sparse in the northwest, while lower population density occurs in some part of southeastern China, and vice versa. （3） The population density at township level along six designed longitude and latitude transects varies greatly. The possible impact factors include the three-level landscape features, local topography, regional economy, and the proximity to coastline, transportation hub, and hydrological systems. The correlation coefficient at provincial level, between the RDLS, WSD, RSD, NTL, and the population densi