Geo-SOM analysis visualized the longitudinal distribution of significant parameters defining different spatial-distributional types of anthropogenic disturbance.
Ecological niche models (ENMs) provide a means of characterizing the spatial distribution of suitable conditions for species, and have recently been applied to the challenge of locating potential distributional areas at the Last Glacial Maximum (LGM) when unfavorable climate conditions led to range contractions and fragmentation.
Comparing the distributional patterns from 2006 and 2007, SADIE's test for spatial association found a significant overlap of the spatial distributions of dead O. unilateralis infected ants in plot 1 (X = 0.49, p<0.01) and plot 5 (X = 0.27, p<0.01), indicating that patches had not shifted as much in location as in size in these plots.
Data were investigated for spatial and distributional homogeneity.
Exclusion of the outlier array improved overall spatial and distributional homogeneity (Additional file 6: Figure S6).
Raw array data were examined for spatial and distributional heterogeneity and differential RNA degradation; no arrays were excluded.
A series of quality assessments were performed on each array to ensure spatial and distributional homogeneity - no arrays were removed from the analysis.
All data were tested for spatial and distributional homogeneity using unsupervised pattern recognition with the divisive clustering algorithm (DIANA) in the cluster package (v1.14.4) using Pearson's correlation as the similarity metric (Additional file 1: Figure S1, Additional file 2: Figure S2, Additional file 3: Figure S3, Additional file 4: Figure S4, Additional file 5: Figure S5).
Determining the air quality impacts of the DNC requires a monitoring strategy with sufficient spatial coverage to capture distributional effects and sufficient temporal resolution to evaluate road closures during only a portion of the day for only a few days.
For example, dispersal limitations constrain species from colonizing the full spatial extent of their potential distributional areas (e.g., the potential distributional areas around Newfoundland for Dendragapus obscurus, Blue Grouse, of western North America).
We then consider the spatial, temporal and socio-demographic distributional effects of transport at every level of planning, policy and systems delivery.
