A review of the principles and application of spatial analysis by distance indices (SADIE)
Author of the article:JING Tian-Zhong**
Author's Workplace:School of Forestry, Northeast Forestry University, Harbin 150040, China
Key Words:spatial pattern; distance to regularity; distance to crowding; aggregation index; cluster index; red-blue plot
Abstract:
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.