中文摘要：

农村居民点形态特征是自然地理条件和社会经济发展水平的集中体现,其形态特征空间集聚格局可为农村居民点分区提供基础依据。该文以北京市平谷区为例,基于空间自相关方法,分析平谷区农村居民点的空间格局及其演变特征,测度其空间关联性,获取农村居民点空间形态集聚格局,进而结合村庄定位、相关规划等,提出平谷区农村居民点分区方案。研究结果显示,农村居民点规模、形状、分布均呈显著空间自相关,正相关类型多以组团形式出现,而负相关类型则呈零星分布。不同的自然与社会经济特点区域表现出不同的集聚格局,地形地貌等自然条件控制下的农村居民点规模、形状和分布的集聚区域空间一致性较强,而城市化、工业化等人文过程则降低了其空间一致性。可据此将农村居民点分为5个管理区域,平原区农村居民点管理应注重其用地综合效益的提升,适时调整优化农村居民点用地结构以改善生产生活条件;半山区应因地制宜推行区域统筹的综合管理模式;而山区则应突出村庄特色,完善居民点内基础设施建设,实现农村居民点整合发展。

英文摘要：

Research on rural settlements spatial pattern and their evolution helps to reveal the interaction between human and land in different development stages and different areas. It provides theoretical basis for rational land use planning and rural settlement classification management. Rural settlements＇ morphology reflects both the natural geographical and social economic development condition. According to our research, rural settlements＇ morphology characteristic has significant correlation with topography, population and living condition of people, etc. Therefore, attributes of rural settlements themselves, namely their displayed morphology, can be used to replace the commonly-used index for the zoning of rural settlements. Meanwhile, spatial autocorrelation method can measure the morphological characteristics of spatial agglomeration pattern which provides the foundation for concentrated continuous rural settlements zoning. Taking Pinggu District, Beijing City as an example, the paper conducted a study on the spatial pattern and zoning of rural settlements. The paper extracted rural settlements in 1993, 2003 and 2011 in Pinggu District. Spatial autocorrelation was applied to depict the spatial pattern of rural settlements morphology characteristics, including the size, shape and distribution. And then the relationship was analyzed between size, shape and distribution characteristics of overlapped regions. On the basis of the spatial autocorrelation result and the overlap region analysis, we put forward the comprehensive management zoning of rural settlements. The main results of the study were as follows： Firstly, size, shape and distribution showed significant spatial autocorrelation. Positive autocorrelation types took the form of the group, whereas negative ones scattered. Secondly, obvious differences existed in agglomeration characters between the plain and the hilly mountainous areas. Rural settlements demonstrated large size, regular shape and concentrated distribution in plain, whereas rural settle