Workshop :: rgee applied epidemiological studies

If you have questions, please, click on PARTICIPATE:

In this workshop you will learn how to use rgee in the spatial analysis of epidemiological studies.

🔵 Table of contents :

• Zonal statistics with continuous data

• Extraction of a large time series of meteorological variables

• Zonal statistics with discrete data

• An environmental index with a Principal Component Analysis

🔵 Requeriments📋📌

• Some knowledge about spatial data (vector and raster)

• Some knowledge in R programming languges.

• Install the following softwares:

  • R
  • Rstudio
  • Packages:
    • rgee , tidyverse, tmap, raster, geojsonio, viridis, ggspatial, sf, stars, lubridate, patchwork and mapview.

Observation:

• Please review the next document 📋 where it all the specific step by step for the installation of the requeriments.

🔵 Authors 🏫

Gabriel Carrasco	Antony Barja
Assistant Professor in Epidemiology at the School of Public Health.	Data analyst of Health Innovation Lab - Universidad Peruana Cayetano Heredia (UPCH)

🔵 References

• Hadley Wickham and Garret Grolemund,R for data Science,2017, https://github.com/hadley/r4ds
• Robin Lovelace, Jakub Nowosad, Jannes Muenchow,Geocomputation with R,2017,https://geocompr.robinlovelace.net/
• Cesar Aybar and Quisheng Wu and Lesly Bautista and Roy Yali and Antony Barja, rgee: An R package for interacting with Google Earth Engine, 2022, https://github.com/r-spatial/rgee