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.

• 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

• 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.

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)

• 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