基于距离指数的空间分析——SADIE的原理和应用进展
A review of the principles and application of spatial analysis by distance indices (SADIE)
景天忠**
点击：576次 下载：2次
DOI：10.7679/j.issn.2095-1353.2026.052
作者单位：东北林业大学林学院，哈尔滨 150040
中文关键词：空间模式；离匀距离；离挤距离；集聚指数；类聚指数；红蓝图
英文关键词：spatial pattern; distance to regularity; distance to crowding; aggregation index; cluster index; red-blue plot
中文摘要：
SADIE（Spatial analysis by distance indices）是一种探索性分析空间模式的方法和软件。自1995年提出后，SADIE在昆虫学研究上得到了广泛的应用，然而在中文文献中鲜有提及。SADIE的理论基石是离匀距离，该算法基于离匀距离检验空间随机性和度量空间关联性。本文详细介绍了离匀距离的算法以及空间随机性检验和空间关联性度量的基本原理，并介绍了对空间斑块进行可视化的方法——红蓝图的绘制原理，以及对空间点模式进行诊断分析的方法——始终图和经验分布函数图的绘制原理，比较了SADIE与其他常用方法的区别，最后对SADIE的应用场景进行了回顾。
英文摘要：
SADIE (Spatial analysis by
distance indices) is a methodology and software for the exploratory analysis of
spatial patterns. SADIE has been applied extensively since it was invented in
1995, especially in entomology. However, it has almost never been presented in
the Chinese literature. The cornerstone of SADIE is distance to regularity,
which is the basis for spatial randomness testing and association measurement.
This article presents the algorithm for calculation of distance to regularity
and the principles of spatial randomness testing, association measurement, and
the red-blue plot for visualization of patchiness in detail. Methodologies for
the diagnostics of aggregation, including IAF (initial and final) plot and EDF
(empirical distribution function) plot are also included. Comparisons between
SADIE and other traditional methods, and a review of the application of SADIE,
are also provided.