Agent Based Modelling Environment For Spatial Decision Support

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Agent-based modelling environment for spatial decision ...

    https://www.tandfonline.com/doi/abs/10.1080/713811747
    The goal of Spatial Decision Support Systems (SDSS) is to assist decision-makers as they generate alternative solutions to a variety of semi-structured geographical problems, and to evaluate these solutions with the help of applicable data and analytical models. Most existing SDSS, however, support only a limited number of decision-making environments, and are not designed to utilize web ...Cited by: 101

Agent-based modeling environment for spatial decision support

    https://www.researchgate.net/publication/220649741_Agent-based_modeling_environment_for_spatial_decision_support
    Agent-based modelling environment for spatial decision support 159 wizards to automate the process of data conversion and provide links to analytical models from within a …

(PDF) Spatial agent-based modeling - ResearchGate

    https://www.researchgate.net/publication/220650208_Spatial_agent-based_modeling
    The integration of GIS into ABM is known as spatial agent-based modelling, or georeferenced agent-based modelling. The conceptual integration of both GIS and ABM is provided successfully by Brown...

Spatial agent-based models for socio-ecological systems ...

    https://www.sciencedirect.com/science/article/pii/S1364815213000807
    The requirement for agents to have a particular geographical location raises further modeling questions on the drivers of relocation, the type and extent of spatial externalities imposed on other agents, the types of linkages between agents and locations (e.g. one to one or one to many), and the ways in which the heterogeneity of spatial attributes and agents' preference may interact.Cited by: 294

An adaptive agent-based optimization model for spatial ...

    https://www.sciencedirect.com/science/article/pii/S2210670719307073
    With a combination of agent-based models and heuristic algorithms, the proposed allocation model could resolve two challenging issues during the agent-based modelling process and provide substantial support for the incorporation of the behaviors and negotiations of different stakeholders in spatial planning.Author: Xiang Zhao, Xiaoya Ma, Wenwu Tang, Dianfeng Liu

Introduction to Spatial Agent-Based Modeling: June 2018 ...

    https://www.sesync.org/opportunities/short-courses/introduction-to-spatial-agent-based-modeling-june-2018
    Introduction to Spatial Agent-Based Modeling: June 2018. Deadline: Apr 02, 2018. ... This 5-day short course will serve as an introduction to the theory and practice of spatially-explicit agent-based modeling (ABM). You will learn the essential theoretical background and technical expertise needed to conceptualize, build, and analyze your first ...

Systems Special Issue : Agent-Based Modelling of City ...

    https://www.mdpi.com/journal/systems/special_issues/agent-based-modelling-city-systems
    This special issue aims to showcase innovative use of agent-based modelling (ABM) and multi-agent system (MAS) approaches for effective decision support regarding urban innovations in fields linked with urban development and to explore and identify how researchers in different disciplines integrate their knowledge through agent models.

GIS and Agent-Based Modeling: Publications

    https://www.gisagents.org/p/publications.html
    Crooks, A. T. and Wise, S. (2011), Modeling the Consequences of Natural Disasters Through Crowdsourcing, Volunteered Geographic Information and Agent-Based Modeling: The Case of Haiti, Franco-American Workshop on Spatial Models of Social Complexity, 17th -18th March, Paris, France.

Spatial decision support system - Wikipedia

    https://en.wikipedia.org/wiki/Spatial_Decision_Support_System
    A spatial decision support system (SDSS) is an interactive, computer-based system designed to assist in decision making while solving a semi-structured spatial problem. It is designed to assist the spatial planner with guidance in making land use decisions. A system which models decisions could be used to help identify the most effective decision path.



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