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Development of a fuzzy-constrained GIS-based cellular automata model of dynamic complex systems: A case study of forest insect infestations.

机译：基于模糊约束的基于GIS的动态复杂系统元胞自动机模型的开发：以森林昆虫侵扰为例。

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Cellular automata (CA) are suitable for modelling complex geographic and ecological processes such as forest insect infestations; however, problems exist with understanding the complexity of insect-host interactions through geospatial data. The objective of this research was to develop a fuzzy-constrained approach for a GIS-based CA model of forest insect infestations. The methodology was tested with a case study of the mountain pine beetle, Dendroctonus ponderosae Hopkins, in the central interior of British Columbia, Canada. Fuzzy sets were used for obtaining information on the susceptibility of trees to attack, while CA was employed for modelling MPB-induced patterns of tree mortality. This research contributes in the advancement of CA models by using fuzzy sets and GIS for addressing uncertainty of dynamic spatial phenomena, and provides a novel approach for modelling MPB outbreaks that is useful to forest management.

机译：元胞自动机（CA）适用于建模复杂的地理和生态过程，例如森林昆虫侵扰；但是，通过地理空间数据了解昆虫与昆虫的相互作用的复杂性存在问题。这项研究的目的是为基于森林昆虫侵扰的基于GIS的CA模型开发一种模糊约束方法。该方法以加拿大不列颠哥伦比亚省中部内部的山松甲虫Dendroctonus灰褐色的霍普金斯为例进行了测试。模糊集用于获取有关树木易感性的信息，而CA用于建模MPB诱导的树木死亡率的模式。这项研究通过使用模糊集和GIS解决动态空间现象的不确定性，为CA模型的发展做出了贡献，并为MPB暴发的建模提供了一种新颖的方法，对森林管理非常有用。

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作者
Bone, Christopher.;
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作者单位

Simon Fraser University (Canada).;

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授予单位 Simon Fraser University (Canada).;
学科 Environmental Sciences.
学位 M.Sc.
年度 2005
页码 97 p.
总页数 97
原文格式 PDF
正文语种 eng
中图分类环境科学基础理论;
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专利

1. A fuzzy-constrained cellular automata model of forest insect infestations [J] . Bone C, Dragicevic S, Roberts A Ecological Modelling . 2006,第1a2期

机译：森林昆虫侵染的模糊约束元胞自动机模型
2. Landscape-level simulation of forest insect disturbance: Coupling swarm intelligent agents with GIS-based cellular automata model [J] . Perez L., Dragicevic S. Ecological Modelling . 2012,第Null期

机译：森林昆虫干扰的景观水平模拟：将群体智能主体与基于GIS的元胞自动机模型耦合
3. Application of an integrated system dynamics and cellular automata model for urban growth assessment: A case study of Shanghai, China [J] . Han Ji, Hayashi Yoshitsup, Cao Xin, Landscape and Urban Planning . 2009,第3期

机译：集成系统动力学和元胞自动机模型在城市发展评估中的应用：以中国上海为例
4. Dynamic formation for the mechanical connection of focal adhesion complexes to study localized mechanisms of angiogenesis through modeling with cellular automata [C] . Philip R. LeDuc ASME International Mechanical Engineering Congress and Exposition . 2001

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5. Approaches for modeling spatial dynamics of forest insect disturbance: The integration of GIScience, complex systems theory and swarming intelligence. [D] . Perez, Liliana. 2011

机译：森林昆虫干扰空间动态建模的方法：GIS科学，复杂系统理论和群体智能的集成。
6. A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata random Boolean networks and echo state networks towards criticality [O] . Sidney Pontes-Filho, Pedro Lind, Anis Yazidi, 2020

机译：一种神经启发的随机动力系统演化的一般框架：蜂窝自动机随机布尔网络和回声状态网络对临界性
7. Development of a fuzzy-constrained GIS-based cellular automata model of dynamic complex systems: A case study of forest insect infestations [O] . Bone Christopher Edward 2005

机译：基于模糊约束的动态复杂系统基于GIS的元胞自动机模型的开发：以森林昆虫侵扰为例

Development of a fuzzy-constrained GIS-based cellular automata model of dynamic complex systems: A case study of forest insect infestations.

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