Species spatial distributions are the result of population demography, behavioral traits, and
species interactions in spatially heterogeneous environmental conditions. Hence the …

This article considers critically how one of the oldest and most widely applied statistical
methods, principal components analysis (PCA), is employed with spatial data. We first …

Spatial structures of ecological communities may originate either from the dependence of
community structure on environmental variables or/and from community-based processes. In …

Spatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging
treatment of the field of spatial data analysis. It begins with an overview of spatial data …

This introductory chapter presents the intended readership of the book and a short history of
the ade4 software. It also describes the associated packages of the ade4 family and how to …

Increasing attention is being devoted to taking landscape information into account in genetic
studies. Among landscape variables, space is often considered as one of the most …

空间自相关的Moran's 指数的计算需要对空间权重矩阵进行定义. 对该双中心化矩阵(即所有行和
列的和均强制为0) 的特征分解在探索诸如Moran 系数(MC) 的分布特性, 线性模型的空间滤波 …

This study is concerned with statistical methods used for the analysis of comparative data (in
which observations are not expected to be independent because they are sampled across …

In this chapter we review the concept of spatial autocorrelation and its attributes. Our
purpose is to outline the various formulations and measures of spatial autocorrelation and to …

Fine particulate matter with aerodynamic diameters less than 2.5 μm (PM 2.5) poses
adverse impacts on public health and the environment. It is still a great challenge to estimate …