The HCV package implements the hierarchical clustering for spatial data. It requires clustering results not only homogeneous in non-geographical features among samples but also geographically close to each other within a cluster. We modified typically used hierarchical agglomerative clustering algorithms to introduce the spatial homogeneity, by considering geographical locations as vertices and converting spatial adjacency into whether a shared edge exists between a pair of vertices. The main function HCV obeying constraints of the vertex links automatically enforces the spatial contiguity property at each step of iterations. In addition, two methods to find an appropriate number of clusters and to report cluster members are also provided.

翻译：HCV软件包实施空间数据的分级组合,要求不仅在样本中采用非地理特征的同一组合结果,而且在集群中也采用地理上相近的组合结果。我们改进了通常使用的等级组合组合式组合算法,以引入空间同质性,将地理位置视为脊椎,并将空间相邻性转换为一对脊椎之间是否存在共同边缘。HCV满足顶端链接制约的主要功能,在迭代的每个步骤中自动强化空间毗连属性。此外,还提供了两种方法,以找到适当数量的集群并报告集群成员。