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An Agent-Based Model of Elephant Crop Raid Dynamics in the Periyar-Agasthyamalai Complex, India

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abm-elephant project codebase

The code base of the agent-based model for human-elephant conflict simulations in western ghats.

Study Area

environment_attributes

Schematic of the model

environment_attributes

Process Schematic

process_schematic

Elephant Agent Decision Making

elephant_agent_decision_making

data

  • data: contains the data used in the model: the field data and the elephant movement data

The requirements.txt file should list all libraries that is necessary for model runs. This file may be used to create an environment using:

$ conda create --name <env> --file requirements.txt

Running the model:

  1. server run:

    python mesageo_elephant_project/elephant_project/server/conflict_model_Server.py
    

    Launches the browser based server for the model run visualisation. The outputs are collected at: "mesageo_elephant_project/elephant_project/outputs/server_run"

  2. batch run:

    python mesageo_elephant_project/elephant_project/run/run_multiple.py
    

    Runs the model in batch mode for multiple iterations. The outputs are collected at: "mesageo_elephant_project/elephant_project/outputs/batch_run"

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An Agent-Based Model of Elephant Crop Raid Dynamics in the Periyar-Agasthyamalai Complex, India

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