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Published April 24, 2023 | Version 0.2
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# Replication code and data for: Aging in a warming world: global projections of cumulative and acute heat exposure of older adults

  • 1. CMCC
  • 2. UNIVE, CMCC
  • 3. Boston University

Description

# Replication code and data for: Aging in a warming world: global  projections of cumulative and acute heat exposure of older adults
By Giacomo Falchetta, Enrica De Cian, Ian Sue Wing and Deborah Carr

Software requirements:
- R v4.3+: https://cran.r-project.org/bin/windows/base/
- RStudio: v2023.06.0+: https://posit.co/download/rstudio-desktop/
- Package dependencies: raster, sf, tidyverse, rasterVis, rgdal, maptools, pbapply, terra, knitr, kableExtra, modelsummary, openxlsx, xtable, ggforce, maptools, weights, spatstat, rworldmap, scales, patchwork, stars, viridis, devtools, stargazer, readxl, nominatimlite, urbnmapr

To replicate the analysis:
- Clone the replication code repository from https://github.com/giacfalk/aging_climate
- Download input data from this Zenodo data repository
- Download all the 1km age and gender-stratified global population counts rasters from the following WorldPop page https://hub.worldpop.org/geodata/summary?id=24798 and put them in a subdirectory of the working directory called "AGEPOP"
- Run the "project_pop.R" script to generate gridded age-stratified population data for each SSP scenario
- Run the "compare_pop_projections.R" file to compare the generated gridded age-stratified population data with an array of pre-existing sources from different countries and produce a summary comparison table (NOTE: before running the script, decompress the "new_comparison_data.zip" folder into the working directory)
- Run "projections_exposure_m.R" to quantify heat exposure and generate the figures and tables reported in the paper

To process the data and run succesfully, the script requires a computer with at least 32GB RAM. The running time varies based on CPU characteristics, but a runtime of at least 2 hours should be expected to generate all the output data, figures, and tables. All output files are saved in the working directory.

Manuscript under peer review. Upon publication, a link to the paper will be made available at this repository.

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Files

new_comparison_data.zip

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