Climate CAFÉ GitHub Organization

Climate & Health Tutorials and Code Sharing

CAFÉ RCC has a established a community GitHub organization to share code, examples, and tutorials on working with common data formats and sources. We are assembling a collection of standard operating procedures (SOPs) for data processing, integration, harmonization, and analysis with code and tutorials in order to facilitate reproducibility and reusability for the climate and health Community of Practice.

The CAFÉ Data Management Function team has begun to develop and share code and tutorials that cover tasks such as spatial aggregations, data harmonization, and analysis across languages including R and Python. As the CAFÉ community grows to include more of the climate and health Community of Practice, we will continue to refine and expand these materials to showcase additional analyses platforms (e.g., ArcGIS). We also hope that community members joining the CAFÉ initiative will contribute, share, and reuse code and software within the CAFÉ GitHub.

All code repositories on GitHub whose content is intended to be shared with the CAFÉ research community should be tagged with the GitHub topic tag climate-cafe. This enables anyone in the climate and health community of practice to easily find relevant code repositories simply by searching for the climate-cafe term on GitHub, by clicking on the climate-cafe topic tag anywhere it appears on GitHub, or by navigating directly to topics/climate-cafe.

Current Tutorials and Code Walkthroughs

Our team members have created tutorials and code examples for several key data management procedures and common analysis challenges that climate and health researchers may encounter. These tutorials are intended to provide usable example materials that researchers can download and step through on their own.

Many of these materials are still under active development, so please check back regularly for updates.

Live Tutorials and Code

Title	Description	Repository Link
Population Weighting Raster Data	Using the gridded meteorological dataset PRISM as an example, this tutorial demonstrates how to aggregate raster data to administrative units (e.g., counties) with population weights.	Climate-CAFE/population_weighting_raster_data
Joining Tabular & Spatial Data	This repository provides tutorial scripts in R and Python for spatializing and mapping tabular temperature data at the county level.	Climate-CAFE/tabular_spatial_data_join
US Census yearly time series tutorial	A succinct tutorial for generating time series of socio-economic variables from the US Census Bureau using its API.	Climate-CAFE/census_tutorial
Overview of ZIP Codes and Zip Code Tabulation Areas (ZCTAs)	This tutorial provides an overview of the differences between ZIP Codes and Zip Code Tabulation Areas and provides code for creating a crosswalk between census blocks and ZCTAs.	Climate-CAFE/zip_codes_and_zctas

Under Development

Title	Description
Discrete Variable Spatial Aggregation	This tutorial will help researchers explore and understand the process of the spatial aggregation for discrete variables. It will provide the Python code to guide you through various steps of producing spatial aggregation from 1km tiff raster to county polygons for the Koppen-Geiger climate types data.
Block and Tract-Level PM2.5 Aggregation	This tutorial will provide an R walkthrough for downloading high-resolution PM2.5 point data from SEDAC, intersecting PM2.5 data with US census blocks, and population-weighting from the block to tract, block-group, and county levels
Nationwide Roads Tract Aggregation	This tutorial will provide the steps for downloading TIGER/Line roads data and calculating tract-level sum road lenth measures stratified by road class using R.
Bash Scripting for Climate and Health Research	This tutorial will give an overview of bash scripting and its potential uses in climate and health research.

Expanding Our Efforts

We hope that in addition to learning from these tutorials, community members will see these materials as representative examples of the kinds of materials they can develop and share through the CAFÉ themselves. If you are interested in contributing a tutorial or example workflow to the CAFÉ yourself, please contact us about joining CAFÉ Github organization or having your existing Github repository added to CAFÉ through a new fork, so that we can share your materials with the broader climate and health Community of Practice.