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iper's Introduction

Unit tests

iper - a Social policy explorer for Agent-Based Modeling

This is the first release of iper. No functionality guaranteed, bugs included.

Installation

The code works on Python 3.7+ To install iper on linux or macOS:

(1) First, install conda.

(2) Install git lfs to automatically download the shapefile data.

(3) Then clone the repository

(4) Launch prepare script that will configure a conda environment

git lfs install
git clone https://github.com/bcn-medtech/iper-social-simulations.git
cd iper-social-simulations/
./prepare.sh

Getting started

After installing the package, run the examples:

cd examples/SAR-COV2/
python run.py
cd examples/SAR-COV2/0dim/
python seihrd.py fit

iper's People

Contributors

arancoll avatar drenriquez avatar eudaldsabater avatar mrceresa avatar

Stargazers

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Watchers

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iper's Issues

Coupling of different models

We should consider how to couple with models that are not agent based, i.e. climate, pollution, macro-economic etc...

Split agents in GeoMultiSpace

We should register separately agents that move frequently (humans) from buildings or other entities that moves slowly or stay fixed

Scaling

Spatial index is quite slow.

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