Recording Available: R for geospatial data science and public health surveillance. Whether you missed the live session or want to revisit the insightful discussions, you can access the recording
https://rladiesrome.org/talks/2024/meetup/04162024/

@fgazzelloni @silacos
#Rspatials #datascience

Join us as we explore the world of Geospatial with R!
Geospatial health data play a crucial role in informing public health and policy, identifying risk factors, and detecting outbreaks.

In this talk, Dr. Moraga will provide insights into R packages and statistical methods for geospatial data analysis and health surveillance.

#rladies #rspatials#rstats #datascience #geohealth

@RLadiesGlobal @fgazzelloni @silacos Rafaela Ribeiro Lucas

RSVP
https://www.meetup.com/rladies-rome/events/299977481/

Collection of my contributions to this third year of #30DayMapChallenge 2023

https://shorturl.at/krE19

#30DayMapChallenge 2023 #day29 Population
Kontur data for Ireland Population density and cities
Tools: #R, {ggspatial}, {cowplot}, {sf},..

#30DayMapChallenge 2023 Day 28: Is it a Chart or a Map?
Data: tmap::data(World)
Thanks to @bjnnowak and his examples!
Tool: #R, {cartogram},{sf}, {tmap},{tidyverse}
#rspatials #rstats #datascience #dataviz #maps

#30DayMapChallenge 2023 #day27 Dot
WorldCover_trees_30s data is sourced from the University of California, Davis Geospatial Data Repository, patterns of global tree coverage in 2022.
Tool: #R
#rspatials #rstats #maps #dataviz #datascience

#30DayMapChallenge 2023 #day26 Minimal
Download climate data with the `worldclim_country()` function from the `{geodata}` package. Then make the map with `geom_spatraster()` function from the `{tidyterra}` package.
#rspatials #rstats #maps

#30DayMapChallenge 2023 #day25 Antarctica
Found this amazing rOpenSci package {antanym}, which provides the names of locations in Antarctica and other features.
#rspatials #rstats #spatials #datascience #dataviz #maps

#TidyTuesday 2023 #week47 RLadies Chapters
#datascience #RStats #rspatials #maps #rladies
@R4DSCommunity

#30DayMapChallenge 2023 #day24 Black & White: Belgium Jittered
Tool: #R
Bit inspired by some interesting syntax used by @ryanahart
#rspatials #rstats #spatials #datascience

#30DayMapChallenge 2023 #day23 3D
Thanks to
@milos_agathon
's tutorial and code I made this amazing 3D Italy Population Map
Data is from the http://Kontur.io Population density dataset
Tool: #R
#rstats #raysheder #rspatials #DataScience #tutorial #opensource

#30DayMapChallenge 2023 #day21 Raster

Represented elevation colors for Alaska, image provided by

Data: QGis Sample Data

Tool: #R

#30DayMapChallenge 2023 #day20 Outdoors: Coastlines

Scalerank of Global Coastlines

Data: {rnaturalearthhires}

Tool: #R

#30DayMapChallenge 2023 #day19 5-minute-map

{tmap} is my favorite for this quick maps

here is the estimation of the population change 1950-2030 | Data is from the metro dataset in {tmap}

#30DayMapChallenge 2023 #day18 Atmosphere
Whispers of the Breeze: Italy's Today Wind Speed
data is from {rWind} package
Tool: #R
#DataScience #maps #rspatials #spatials

#30DayMapChallenge 2023 #day17 Flow: Espana HydroRivers - Global river network delineation
DataSource: https://www.hydrosheds.org/
Tool: #R
#rspatials #spatials #maps #datascience

#30DayMapChallenge 2023 #day16 Oceania

Population Peaks: Exploring Oceania's Cities

DataSource: Wikipedia

Tool: #R

#30DayMapChallenge 2023 | #Day15 | OpenStreetMap
Valéncia, ES schools and underground stations.
DataSource: {osmdata}
Tool: #R

#30DayMapChallenge 2023 #day14 Europe
European Child and Youth Population % change (2008-2022)
Data: {eurostat} & Wikipedia
Tool: #R
#maps #rspatials #rstats #datascience #graphics

#30DayMapChallenge 2023 #day13 Choropleth
Thematic map that uses color or shading to represent spatial variations in HIV change (%) across geographic regions.
Global data on HIV epidemiology and response (aidsinfo.unaids.org)
Tool: #R
#rspatials #rstats #maps #dataviz