Modelling Spatial Patterns

Key Points

• Review theoretical stochastic models for mapped spatial point patterns and evaluate statistical methods for testing model fit.
• Reviewed stochastic models developed for the comprehensive analysis of mapped spatial point patterns.
• Evaluated goodness-of-fit testing frameworks to determine how well theoretical distributions match empirical spatial data.
• Illustrated model properties and testing procedures using multiple spatial pattern case studies.
• Demonstrated that specific spatial point process models function as the equilibrium distributions of continuous spatial-temporal stochastic systems.
• Established analytical frameworks that maximize information extraction from mapped data relative to traditional quadrat and distance sampling methods.