Consider a two dimensional study area which has been either partitioned into several non-
overlapping regions that exhaust the area, or has a point pattern imposed upon it. Although …

This paper is devoted to developing the theory and methods of spatial autocorrelation
analysis based on the Moran statistics. Firstly, the mathematical process of the Moran's …

Functions to calculate measures of spatial association, especially measures of spatial
autocorrelation, have been made available in many software applications. Measures may be …

In an era of rapid global change, conservation managers urgently need improved tools to
track and counter declining ecosystem conditions. This need is particularly acute in the …

地统计学是空间统计学领域中一种独具特色的方法. 过去它仅用来处理一些特定的问题(如克里
金空间插值) 和特定类型的空间数据(连续空间中定义的属性数据). 由于所处理数据类型的特性 …

Autoregressive models for spatial interaction have been proposed by several authors
(Whittle [15] and Mead [11], for example). In the past, computational difficulties with the ML …

Resumen¿ Cómo varía UN fenómeno a través del espacio geográfico? Esta es la pregunta
que ayuda a resolver la autocorrelación espacial. En este editorial se presenta una breve …

Spatial autocorrelation plays an important role in geographical analysis; however, there is
still room for improvement of this method. The formula for Moran's index is complicated, and …

Spatial autocorrelation is a concept that helps to define the field of spatial analysis. It is
central to studies using spatial statistics and spatial econometrics. In this paper, we trace the …

COVID-19 hit Italy in February 2020 after its outbreak in China at the beginning of January.
Why was Italy first among the Western countries? What are the conditions that made Italy …