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added model purpose
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JannisHoch committed Nov 27, 2020
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CoPro
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Welcome to CoPro, a machine-learning tool for conflict risk projections based on climate, environmental, and societal drivers.
CoPro employes observed conflict data together with (user-provided) socio-economic and environmental data to train different classifiers (RFClassifier, kNearestClassifier, and Support Vector Classifier).
The model can, for instance, be used to make scenario projections, evaluate the relative feature importances, or benchmark different datasets.
Welcome to CoPro, a machine-learning tool for conflict risk projections based on climate, environmental, and societal drivers.

.. image:: https://travis-ci.com/JannisHoch/copro.svg?branch=dev
:target: https://travis-ci.com/JannisHoch/copro
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.. image:: https://badges.frapsoft.com/os/v2/open-source.svg?v=103
:target: https://github.com/ellerbrock/open-source-badges/

Model purpose
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CoPro employes observed conflict data together with (user-provided) socio-economic and environmental data to train different classifiers (RFClassifier, kNearestClassifier, and Support Vector Classifier).
As primary model output, conflict risk (defined as the fraction conflict predictions of all predictions) is provided.
To capture the geographical variability of conflict and socio-environmental drivers, the model is spatially explicit and calculates conflict risk at a (user-specified) aggregation level.
This way, the model is able to also capture the relevant sub-national variability of conflict and conflict drivers.

In addition to the calculation of conflict risk, can the model, for instance, be used to make scenario projections, evaluate the relative feature importances, or benchmark different datasets.

All in all, CoPro supports the mapping of current and future areas at risk of conflict, while also facilitating obtaining a better understanding of the underlying processes.

Installation
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