#rspatials — Public Fediverse posts

🌍 Day 1: Points
Starting #30DayMapChallenge 2025 with a map of DALYs (Disability-Adjusted Life Years) across countries — each point marks a population-weighted centroid, showing where health burdens hit hardest. R packages: {hmsidwR}, {sf}, {tidyverse}
#rspatials #RStats

🌍 Day 1: Points
Starting #30DayMapChallenge 2025 with a map of DALYs (Disability-Adjusted Life Years) across countries — each point marks a population-weighted centroid, showing where health burdens hit hardest. R packages: {hmsidwR}, {sf}, {tidyverse}
#rspatials #RStats

🌍 Day 1: Points
Starting #30DayMapChallenge 2025 with a map of DALYs (Disability-Adjusted Life Years) across countries — each point marks a population-weighted centroid, showing where health burdens hit hardest. R packages: {hmsidwR}, {sf}, {tidyverse}
#rspatials #RStats

🌍 Day 1: Points
Starting #30DayMapChallenge 2025 with a map of DALYs (Disability-Adjusted Life Years) across countries — each point marks a population-weighted centroid, showing where health burdens hit hardest. R packages: {hmsidwR}, {sf}, {tidyverse}
#rspatials #RStats

🌍 Day 1: Points
Starting #30DayMapChallenge 2025 with a map of DALYs (Disability-Adjusted Life Years) across countries — each point marks a population-weighted centroid, showing where health burdens hit hardest. R packages: {hmsidwR}, {sf}, {tidyverse}
#rspatials #RStats

📽 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

📽 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

📽 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

📽 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/

💡 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/

💡 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/

💡 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/

💡 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

#rstats #dataviz #datascience #DataVisualization #maps #rspatials

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

🔗https://shorturl.at/krE19

#rstats #dataviz #datascience #DataVisualization #maps #rspatials

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

🔗https://shorturl.at/krE19

#rstats #dataviz #datascience #DataVisualization #maps #rspatials

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

🔗https://shorturl.at/krE19

#rstats #dataviz #datascience #DataVisualization #maps #rspatials

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

🔗https://shorturl.at/krE19

#rstats #dataviz #datascience #DataVisualization #maps #rspatials

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

#rspatials #rstats #datascience #maps #DataVisualization

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

#rspatials #rstats #datascience #maps #DataVisualization

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

#rspatials #rstats #datascience #maps #DataVisualization

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

#rspatials #rstats #datascience #maps #DataVisualization

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

#rspatials #rstats #datascience #maps #DataVisualization

#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 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 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 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 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 #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 #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 #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 #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 #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 #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 #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 #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

#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

#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

#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

#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

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

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

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

#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