Algorithms for the computation of spatial statistics

✍ Scribed by Martin Fisher

• Publisher: Elsevier Science
• Year: 1990
• Tongue: English
• Weight: 648 KB
• Volume: 20
• Category: Article
• ISSN: 0010-4825
• DOI: 10.1016/0010-4825(90)90010-m

✦ Synopsis

Algorithms are described for the calculation of spatial statistics. The statistics are the functions K(t), G(y), F(x), and K12(t). They can be used to determine (a) which type of spatial process ('random', ' clustered', 'regular', etc.) best fits a data set and whether the spatial pattern changes with distance, and (b) whether two types of events are correlated with each other, and if so, at which distances the correlation occurs. These functions provide a powerful tool for analysing the spatial distribution of biomedical and biological phenomena. An interactive, command-driven program that incorporates these algorithms is described.

Biological images

Biomedical images Spatial distribution Spatial pattern analysis Spatial statistics