Covers static, autocorrelation, dynamic, and sustainability-focused spatial optimization methods for ecosystems
Includes case studies on wildlife habitat, recreation, timber, water, and pest management
Tutorial approach to mathematical concepts enables accessible understanding for non-experts
Emphasizes tradeoff analysis and evaluation of management options
Engages readers with real-world applications and policy implications
Summarized by Shop
Spatial optimization is a methodology used to maximize or minimize a management objective, given the limited area, finite resources, and spatial relationships in an ecosystem. Optimization approaches can be used to evaluate a great variety of options and allow tradeoff analyses that might be impossible with other methods.