Global Cluster Test Results: Pathogenic Fungi in Decayed Norway Spruce Stands

Accessing the Results: Users can retrieve the test results by opening the dataset Global_cluster_test_results.RData in an R session and using the functions inside the script of the same name.

Description: This dataset provides global cluster test results analyzing the spatial distribution of pathogenic fungi in 273 Norway spruce stands in Norway (Lara et al., 2024). The stands, composed mainly of Norway spruce (27% to 100%), also include Scots pine and birch. It focuses on spatial patterns of decayed spruce trees, offering p-values, clustering metrics, and other parameters from statistical analyses.

Analysis: The dataset includes results from three global cluster tests (Tango, 2010):

Tango's Nearest Neighbors (TNN)

Tango's Double Exponential Clinal (TCN)

Diggle and Chetwynd’s (DC)

Methodology: Cluster testing employed 1,000 Monte Carlo simulations for each test across all stands to establish null distributions and adjusted p-values, ensuring robust statistical assessments under the random labeling hypothesis: H0: the observed n0 decayed trees are a random sample from the entire sample of size n = n0 + n1 (decayed trees + healthy trees) (Tango, 2010).