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元胞自动机×最小成本路径 / 成本距离分析×
领域仿真空间分析
方法族Process / pipelineProcess / pipeline
起源年份1940s–1950s (formalized); 1970 (Conway's Game of Life); 2002 (Wolfram's systematic classification)1994
提出者John von Neumann and Stanislaw Ulam (1940s–1950s); popularized by John Conway (1970) and Stephen Wolfram (1980s–2002)Edsger Dijkstra (shortest path); GIS cost-surface adaptation
类型Grid-based computational simulation modelRaster cost-surface routing
开创性文献Wolfram, S. (2002). A New Kind of Science. Wolfram Media. ISBN: 978-1579550080Dijkstra, E. W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269–271. DOI ↗
别名CA, Hücresel Otomat (Cellular Automata), lattice model, grid-based simulationcost-distance analysis, accumulated cost surface, least-cost corridor, en düşük maliyetli yol
相关53
摘要Cellular automata (CA) is a grid-based computational simulation model, first formalized by John von Neumann and Stanislaw Ulam in the 1940s–1950s and brought to wide attention by John Conway's Game of Life (1970) and Stephen Wolfram's systematic classification (2002), in which a lattice of cells — each holding a finite discrete state — evolves in discrete time steps according to local neighborhood interaction rules, causing complex global patterns to emerge from simple local specifications.Least-cost path analysis finds the route between two locations that minimizes accumulated travel cost across a landscape, rather than minimizing straight-line distance. By encoding terrain, slope, land cover, and other frictions into a cost surface and accumulating cost outward from a source, it identifies optimal corridors for roads, pipelines, trails, power lines, and wildlife movement — a core raster-GIS technique built on Dijkstra's shortest-path logic.
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ScholarGate方法对比: Cellular Automata · Least-Cost Path. 于 2026-06-18 检索自 https://scholargate.app/zh/compare