Ecologist-Developed Spatially-Explicit Dynamic Landscape by James D. Westervelt, Gordon L. Cohen

By James D. Westervelt, Gordon L. Cohen

This booklet is written for ecologists attracted to taking pictures their understandings of the way average structures paintings in software program – to aid tell their paintings and converse the implications of proposed administration plans. traditionally, ecologists needed to depend on the abilities of expert laptop programmers to modeling normal platforms, yet now a brand new iteration of software program is permitting ecologists to at once catch their understandings of structures in software program. This ebook is a compilation of spatially particular simulation versions constructed by means of ecologists and planners with none formal desktop programming abilities. Readers can be encouraged to think that they can also create comparable versions of the structures with which they're familiar.

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Just as different data storage techniques are appropriate to different data formats, so are different modeling techniques appropriate depending on the model output requirements. • Discrete mobile objects. If individual people, groups of individuals, vehicles, or individuals of an endangered species are key variables in the model, they must be represented as discrete mobile entities. Such objects must be able to disconnect from a location in the landscape space and “reconnect” in an adjacent space to interact with the environment there.

Models that simulate activities occurring at different spatial resolutions may adopt a spatial data structure that maintains information in a hierarchical manner. Each cell or hexagon can be iteratively decomposed into increasingly smaller components. , weather systems, flocks of birds, clouds of spores or pollens) can move rapidly across the system using relatively long time steps and large spatial patches. Smaller entities (individuals or vehicles) can operate at smaller time steps and smaller patches.

The chapter opens with an overview of NetLogo’s origins and its technical capabilities. 2 Capabilities and Features NetLogo can model both mobile and immobile agents. It handles multiple agents occupying the same physical space, and can include thousands of agents in a single simulation. Other capabilities include agent linking and networking capabilities, both two- and three-dimensional (2D and 3D) display, and easy switching between single-step execution and continuous simulations. Features that distinguish NetLogo include: • Clear and thorough documentation, including a large and rich set of sample models to instruct and stimulate the would-be modeler.

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