#rspatials — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #rspatials, aggregated by home.social.
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🌍 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 -
💡 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
#rstats #dataviz #datascience #DataVisualization #maps #rspatials
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#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 -
#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 -
#30DayMapChallenge 2023 #day24 Black & White: Belgium Jittered 🙃
Tool: #R
Bit inspired by some interesting syntax used by @ryanahart
#rspatials #rstats #spatials #datascience -
#30DayMapChallenge 2023 #day24 Black & White: Belgium Jittered 🙃
Tool: #R
Bit inspired by some interesting syntax used by @ryanahart
#rspatials #rstats #spatials #datascience -
#30DayMapChallenge 2023 #day24 Black & White: Belgium Jittered 🙃
Tool: #R
Bit inspired by some interesting syntax used by @ryanahart
#rspatials #rstats #spatials #datascience -
#30DayMapChallenge 2023 #day24 Black & White: Belgium Jittered 🙃
Tool: #R
Bit inspired by some interesting syntax used by @ryanahart
#rspatials #rstats #spatials #datascience -
#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
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#30DayMapChallenge 2023 #day21 Raster
Represented elevation colors for Alaska, image provided by
Data: QGis Sample Data
Tool: #R
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#30DayMapChallenge 2023 #day21 Raster
Represented elevation colors for Alaska, image provided by
Data: QGis Sample Data
Tool: #R
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#30DayMapChallenge 2023 #day21 Raster
Represented elevation colors for Alaska, image provided by
Data: QGis Sample Data
Tool: #R
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#30DayMapChallenge 2023 #day21 Raster
Represented elevation colors for Alaska, image provided by
Data: QGis Sample Data
Tool: #R
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#30DayMapChallenge 2023 #day20 Outdoors: Coastlines
Scalerank of Global Coastlines
Data: {rnaturalearthhires}
Tool: #R
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#30DayMapChallenge 2023 #day20 Outdoors: Coastlines
Scalerank of Global Coastlines
Data: {rnaturalearthhires}
Tool: #R
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#30DayMapChallenge 2023 #day20 Outdoors: Coastlines
Scalerank of Global Coastlines
Data: {rnaturalearthhires}
Tool: #R
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#30DayMapChallenge 2023 #day20 Outdoors: Coastlines
Scalerank of Global Coastlines
Data: {rnaturalearthhires}
Tool: #R
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#30DayMapChallenge 2023 #day20 Outdoors: Coastlines
Scalerank of Global Coastlines
Data: {rnaturalearthhires}
Tool: #R
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#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}
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#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 #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 #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 #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}
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#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 #day18 Atmosphere
Whispers of the Breeze: Italy's Today Wind Speed
data is from {rWind} package
Tool: #R
#DataScience #maps #rspatials #spatials -
#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 #day18 Atmosphere
Whispers of the Breeze: Italy's Today Wind Speed
data is from {rWind} package
Tool: #R
#DataScience #maps #rspatials #spatials -
#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 #day17 Flow: Espana HydroRivers - Global river network delineation
DataSource: https://www.hydrosheds.org/
Tool: #R
#rspatials #spatials #maps #datascience -
#30DayMapChallenge 2023 #day17 Flow: Espana HydroRivers - Global river network delineation
DataSource: https://www.hydrosheds.org/
Tool: #R
#rspatials #spatials #maps #datascience