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pandrich/extreme-heat-vs-sv

Domain:

climatepeace and security
Creator:
pan
Host:
Extreme heat and sexual violence victimisation amongst children, adolescents and youth in Southern Africa # Extreme heat and sexual violence This repository contains the code base used for the analysis in `Extreme heat and sexual violence victimisation amongst children, adolescents and youth in Southern Africa`. ## Data availability Temperature and Universal Thermal Climate Index (UTCI) data collected from the Climate Data Store is stored for ease of use at this data repository. To run the code, unzip the file into the `data/raw` folder. Administrative areas shapefiles were collected from the [DHS Program Spatial Repository] (spatialdata.dhsprogram.com). Access to the Violence Against Children Survey data can be requested through the Together for Girls portal. Note that we specifically asked for the information on the rural/urban status of the respondent location to be included in the datasets. ## Run the code The analysis is structured in a series of notebooks covering data processing and modeling steps (as described below). The `src` folder contains the definition of helper functions used for data manipulation and plotting. The code was created using R version 4.5.2 and was tested using RStudio version 2025.09.2+418. renv version 1.1.5 was used to manage package dependencies, documented in the `renv.lock` file. ### Setup the coding environment Before running the code locally create the coding environments. 1. Open the project file `extreme-heat-vs-sv.Rproj` in RStudio. 2. In the console activate the project environment ``` renv::init() ``` 3. Select 1 to restore the environment from the existing lock file. CmdStan and cmdstanr need to be separately installed following the instructions here ### Notebook codebook Running the notebooks in the order described below ensures that the processed datasets required for the modelling steps are appropriately created. #### Data processing | Name | Description | Notes | |--------|---------------|---------| | 1_preprocess_vacs_data.qmd | | | | 2_create_temp_datasets.qmd | | | | 3_create_utci_dat …

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github.com

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MIT

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