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Policy Scenario Cellular Automata — Grid-baseret simulering til sammenligning af politiske påvirkninger

Policy Scenario Cellular Automata (PSCA) kombinerer cellulær automata-simulering med struktureret scenarieanalyse for at evaluere, hvordan alternative politiske beslutninger omformer rumligt distribuerede systemer over tid. Hvert scenarie indkoder et forskelligt sæt af overgangsregler eller begrænsninger, og modellen itererer for at afsløre divergerende rumlige resultater — hvilket muliggør direkte, visuel sammenligning af politiske konsekvenser på lokalt og systemisk niveau.

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Kilder

  1. Clarke, K. C., Hoppen, S., & Gaydos, L. (1997). A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B: Planning and Design, 24(2), 247–261. DOI: 10.1068/b240247
  2. Batty, M. (2005). Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals. MIT Press. ISBN 978-0262025836. ISBN: 978-0262025836

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ScholarGate. (2026, June 3). Policy Scenario Cellular Automata — Scenario-driven grid-based simulation for policy impact analysis. ScholarGate. https://scholargate.app/da/simulation/policy-scenario-cellular-automata

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ScholarGatePolicy Scenario Cellular Automata (Policy Scenario Cellular Automata — Scenario-driven grid-based simulation for policy impact analysis). Hentet 2026-06-15 fra https://scholargate.app/da/simulation/policy-scenario-cellular-automata · Datasæt: https://doi.org/10.5281/zenodo.20539026