This repository contains project-specific codes and configuration to run climate-related risk and resilience analysis of infrastructure networks in Jamaica.

For an initial overview of the style of analysis, a table of potential data requirements is presented in data-categories.csv.

Clone or download this repository from GitHub:

git clone [email protected]:nismod/jamaica-infrastructure.git

Next, install required python packages:

We recommend using micromamba to install the packages and manage installing libraries into a conda environment, usually handling non-Python dependencies well.

Create a conda environment once (per machine/user):

micromamba create --file environment.yml

Activate the environment each time you open a shell:

micormamba activate jsrat

Run hazard-network intersections.

python scripts/exposure/split_networks.py \
    workflow/network_layers.csv \
    workflow/hazard_layers.csv \
    ./extract/processed_data/

The Jamaica Energy Model (JEM) is a high-level power flow model of Jamaica's electricity network.

The J-SRAT web-based visualisation tool is implemented in infra-risk-vis

snail is a supporting library, used here for hazard-network intersections, under continuing development to support risk analysis.

This work is supported by the Coalition for Climate Resilient Investment (CCRI) project on infrastructure risk assessment and resilient investment prioritisation in Jamaica, funded by the UK Foreign, Commonwealth and Development Office (FCDO).