Federica Gazzelloni
@fgazzelloni.bsky.social
#30DayMapChallenge | Book Author | Data Scientist |Statistician & R-enthusiast
🤩👇🏻 Let's get connected! 👇🏻🤩
🤩👇🏻 Let's get connected! 👇🏻🤩
Pinned
Day 22 | #30DayMapChallenge — Data: Natural Earth
A vintage-style map using @NaturalEarth 1:10m physical layers, zoomed to the Eastern Hemisphere (60°E–180°E, 50°S–50°N).
Soft colours, clean lines, and a classic atlas feel. 🌍✨
#Rstats #ggplot2 #GIS #DataViz #Maps #Geospatial
A vintage-style map using @NaturalEarth 1:10m physical layers, zoomed to the Eastern Hemisphere (60°E–180°E, 50°S–50°N).
Soft colours, clean lines, and a classic atlas feel. 🌍✨
#Rstats #ggplot2 #GIS #DataViz #Maps #Geospatial
November 23, 2025 at 11:08 AM
Day 22 | #30DayMapChallenge — Data: Natural Earth
A vintage-style map using @NaturalEarth 1:10m physical layers, zoomed to the Eastern Hemisphere (60°E–180°E, 50°S–50°N).
Soft colours, clean lines, and a classic atlas feel. 🌍✨
#Rstats #ggplot2 #GIS #DataViz #Maps #Geospatial
A vintage-style map using @NaturalEarth 1:10m physical layers, zoomed to the Eastern Hemisphere (60°E–180°E, 50°S–50°N).
Soft colours, clean lines, and a classic atlas feel. 🌍✨
#Rstats #ggplot2 #GIS #DataViz #Maps #Geospatial
Earthquakes Yearly Avg Magnitude 6+ (1900–2013) 🌍
Centroids marked with flag icons for #Day21 Icons.
Data: USGS
Map: Federica Gazzelloni
#30DayMapChallenge #RStats #GIS #Earthquakes #DataViz
Centroids marked with flag icons for #Day21 Icons.
Data: USGS
Map: Federica Gazzelloni
#30DayMapChallenge #RStats #GIS #Earthquakes #DataViz
November 23, 2025 at 10:22 AM
Earthquakes Yearly Avg Magnitude 6+ (1900–2013) 🌍
Centroids marked with flag icons for #Day21 Icons.
Data: USGS
Map: Federica Gazzelloni
#30DayMapChallenge #RStats #GIS #Earthquakes #DataViz
Centroids marked with flag icons for #Day21 Icons.
Data: USGS
Map: Federica Gazzelloni
#30DayMapChallenge #RStats #GIS #Earthquakes #DataViz
Day 20 of #30DayMapChallenge: Water 🌊
Here’s the Mediterranean Sea in stunning detail using the ETOPO1 global relief model — deep trenches, shallow shelves, and surrounding terrain all in one map.
R + terra + ggplot2
#RStats #GIS #Bathymetry #Mediterranean #DataViz #Geospatial
Here’s the Mediterranean Sea in stunning detail using the ETOPO1 global relief model — deep trenches, shallow shelves, and surrounding terrain all in one map.
R + terra + ggplot2
#RStats #GIS #Bathymetry #Mediterranean #DataViz #Geospatial
November 20, 2025 at 10:10 PM
Day 20 of #30DayMapChallenge: Water 🌊
Here’s the Mediterranean Sea in stunning detail using the ETOPO1 global relief model — deep trenches, shallow shelves, and surrounding terrain all in one map.
R + terra + ggplot2
#RStats #GIS #Bathymetry #Mediterranean #DataViz #Geospatial
Here’s the Mediterranean Sea in stunning detail using the ETOPO1 global relief model — deep trenches, shallow shelves, and surrounding terrain all in one map.
R + terra + ggplot2
#RStats #GIS #Bathymetry #Mediterranean #DataViz #Geospatial
Day 19 — Projections 🌍
Same world data, one transformation:
• Goode Homolosine → interrupted + distinctive
Projections change everything — even before you add any data.
#30DayMapChallenge #rstats #dataviz
Same world data, one transformation:
• Goode Homolosine → interrupted + distinctive
Projections change everything — even before you add any data.
#30DayMapChallenge #rstats #dataviz
November 20, 2025 at 10:07 PM
Day 19 — Projections 🌍
Same world data, one transformation:
• Goode Homolosine → interrupted + distinctive
Projections change everything — even before you add any data.
#30DayMapChallenge #rstats #dataviz
Same world data, one transformation:
• Goode Homolosine → interrupted + distinctive
Projections change everything — even before you add any data.
#30DayMapChallenge #rstats #dataviz
Day 18 – Out of the World 🚀🔴
Mapped Mars today using the Viking global mosaic from NASA/USGS.
Rebuilt the extent in R and plotted the planet in a clean equirectangular view.
Amazing what you can do with a simple JPG + {terra}!
#30DayMapChallenge #Rstats #GIS #Mars #DataViz
Mapped Mars today using the Viking global mosaic from NASA/USGS.
Rebuilt the extent in R and plotted the planet in a clean equirectangular view.
Amazing what you can do with a simple JPG + {terra}!
#30DayMapChallenge #Rstats #GIS #Mars #DataViz
November 18, 2025 at 9:02 PM
Day 18 – Out of the World 🚀🔴
Mapped Mars today using the Viking global mosaic from NASA/USGS.
Rebuilt the extent in R and plotted the planet in a clean equirectangular view.
Amazing what you can do with a simple JPG + {terra}!
#30DayMapChallenge #Rstats #GIS #Mars #DataViz
Mapped Mars today using the Viking global mosaic from NASA/USGS.
Rebuilt the extent in R and plotted the planet in a clean equirectangular view.
Amazing what you can do with a simple JPG + {terra}!
#30DayMapChallenge #Rstats #GIS #Mars #DataViz
Day 17 of the #30DayMapChallenge: tried Felt.com for today’s “New Tool” theme.
Climate Change Data - Yearly AVG Temp at Weather Stations.
#30DayMapChallenge #Day17 #NewTool #FeltMap
Climate Change Data - Yearly AVG Temp at Weather Stations.
#30DayMapChallenge #Day17 #NewTool #FeltMap
November 17, 2025 at 9:24 PM
Day 17 of the #30DayMapChallenge: tried Felt.com for today’s “New Tool” theme.
Climate Change Data - Yearly AVG Temp at Weather Stations.
#30DayMapChallenge #Day17 #NewTool #FeltMap
Climate Change Data - Yearly AVG Temp at Weather Stations.
#30DayMapChallenge #Day17 #NewTool #FeltMap
Day 16 #30DayMapChallenge 🌍🔥
Global map of expected deaths per 1M population from Environmental Heat & Fire (GBD 2023), visualized with a grid and Equal Earth projection. Expected values are predicted by probability.
#DataViz #GIS #PublicHealth
Global map of expected deaths per 1M population from Environmental Heat & Fire (GBD 2023), visualized with a grid and Equal Earth projection. Expected values are predicted by probability.
#DataViz #GIS #PublicHealth
November 16, 2025 at 5:22 PM
Day 16 #30DayMapChallenge 🌍🔥
Global map of expected deaths per 1M population from Environmental Heat & Fire (GBD 2023), visualized with a grid and Equal Earth projection. Expected values are predicted by probability.
#DataViz #GIS #PublicHealth
Global map of expected deaths per 1M population from Environmental Heat & Fire (GBD 2023), visualized with a grid and Equal Earth projection. Expected values are predicted by probability.
#DataViz #GIS #PublicHealth
#30DayMapChallenge 2025 Day15 - FIRE
New map out today! 🔥
Created using NASA’s FIRMS tool, which provides real-time global fire detections from satellite data. An impressive resource for anyone working with spatial analysis and climate.
#dataviz #GIS #FIRMS #NASA #wildfires
New map out today! 🔥
Created using NASA’s FIRMS tool, which provides real-time global fire detections from satellite data. An impressive resource for anyone working with spatial analysis and climate.
#dataviz #GIS #FIRMS #NASA #wildfires
November 16, 2025 at 9:57 AM
#30DayMapChallenge 2025 Day15 - FIRE
New map out today! 🔥
Created using NASA’s FIRMS tool, which provides real-time global fire detections from satellite data. An impressive resource for anyone working with spatial analysis and climate.
#dataviz #GIS #FIRMS #NASA #wildfires
New map out today! 🔥
Created using NASA’s FIRMS tool, which provides real-time global fire detections from satellite data. An impressive resource for anyone working with spatial analysis and climate.
#dataviz #GIS #FIRMS #NASA #wildfires
🗺️ Day 14 of #30DayMapChallenge — Rome OSM Data in R
Clean palette for highways, rivers, hospitals and bus stops and a simple setup:
• getbb("Rome, Italy")
• opq() + add_osm_feature()
• geom_sf() to layer the city
#rstats #dataviz #geospatial
Clean palette for highways, rivers, hospitals and bus stops and a simple setup:
• getbb("Rome, Italy")
• opq() + add_osm_feature()
• geom_sf() to layer the city
#rstats #dataviz #geospatial
November 15, 2025 at 7:58 PM
🗺️ Day 14 of #30DayMapChallenge — Rome OSM Data in R
Clean palette for highways, rivers, hospitals and bus stops and a simple setup:
• getbb("Rome, Italy")
• opq() + add_osm_feature()
• geom_sf() to layer the city
#rstats #dataviz #geospatial
Clean palette for highways, rivers, hospitals and bus stops and a simple setup:
• getbb("Rome, Italy")
• opq() + add_osm_feature()
• geom_sf() to layer the city
#rstats #dataviz #geospatial
🗺️ Day 13: 10-minute map
I downloaded a ready map from @IHME_UW showing Changes in DALYs due to rabies (1990–2023).
Even in a few minutes, a map can tell a powerful story
#30DayMapChallenge #DataViz #GBD2023
I downloaded a ready map from @IHME_UW showing Changes in DALYs due to rabies (1990–2023).
Even in a few minutes, a map can tell a powerful story
#30DayMapChallenge #DataViz #GBD2023
November 13, 2025 at 5:46 PM
🗺️ Day 13: 10-minute map
I downloaded a ready map from @IHME_UW showing Changes in DALYs due to rabies (1990–2023).
Even in a few minutes, a map can tell a powerful story
#30DayMapChallenge #DataViz #GBD2023
I downloaded a ready map from @IHME_UW showing Changes in DALYs due to rabies (1990–2023).
Even in a few minutes, a map can tell a powerful story
#30DayMapChallenge #DataViz #GBD2023
Join us for the next @romerusersgroup.bsky.social Rome R Users Group event!
📅 Date: Wednesday, November 27
⏰ Time: 6:00 PM CET
🗺️ R for Geospatial Predictive Mapping: Practical Workflows for Reliable Spatial Predictions
Speaker: Jakub Nowosad
www.meetup.com/rome-r-users...
📅 Date: Wednesday, November 27
⏰ Time: 6:00 PM CET
🗺️ R for Geospatial Predictive Mapping: Practical Workflows for Reliable Spatial Predictions
Speaker: Jakub Nowosad
www.meetup.com/rome-r-users...
R for geospatial predictive mapping, Thu, Nov 27, 2025, 6:00 PM | Meetup
**R for geospatial predictive mapping: practical workflows for reliable spatial predictions**
This talk introduces practical workflows for building reliable spatial predic
www.meetup.com
November 13, 2025 at 9:51 AM
Join us for the next @romerusersgroup.bsky.social Rome R Users Group event!
📅 Date: Wednesday, November 27
⏰ Time: 6:00 PM CET
🗺️ R for Geospatial Predictive Mapping: Practical Workflows for Reliable Spatial Predictions
Speaker: Jakub Nowosad
www.meetup.com/rome-r-users...
📅 Date: Wednesday, November 27
⏰ Time: 6:00 PM CET
🗺️ R for Geospatial Predictive Mapping: Practical Workflows for Reliable Spatial Predictions
Speaker: Jakub Nowosad
www.meetup.com/rome-r-users...
🌍 #30DayMapChallenge Day 12 | Map from 2125
Projected world population to 2125 using UN data + ARIMA forecasts, shown with the Equal Earth projection — an equal-area view that keeps countries’ true proportions.
Growth in Africa & South Asia, decline in Europe.
#RStats #DataViz
Projected world population to 2125 using UN data + ARIMA forecasts, shown with the Equal Earth projection — an equal-area view that keeps countries’ true proportions.
Growth in Africa & South Asia, decline in Europe.
#RStats #DataViz
November 12, 2025 at 11:28 PM
🌍 #30DayMapChallenge Day 12 | Map from 2125
Projected world population to 2125 using UN data + ARIMA forecasts, shown with the Equal Earth projection — an equal-area view that keeps countries’ true proportions.
Growth in Africa & South Asia, decline in Europe.
#RStats #DataViz
Projected world population to 2125 using UN data + ARIMA forecasts, shown with the Equal Earth projection — an equal-area view that keeps countries’ true proportions.
Growth in Africa & South Asia, decline in Europe.
#RStats #DataViz
🗺️ #30DayMapChallenge 2025 — Day 11: Minimal
🇮🇹 Italy, in the Goode Homolosine projection.
#RStats #DataViz #ggplot2 #sf
🇮🇹 Italy, in the Goode Homolosine projection.
#RStats #DataViz #ggplot2 #sf
November 11, 2025 at 7:33 AM
🗺️ #30DayMapChallenge 2025 — Day 11: Minimal
🇮🇹 Italy, in the Goode Homolosine projection.
#RStats #DataViz #ggplot2 #sf
🇮🇹 Italy, in the Goode Homolosine projection.
#RStats #DataViz #ggplot2 #sf
🌬️ Day 10 – Air
For #30DayMapChallenge I explored average monthly wind speed using WorldClim data.
Each frame shows mean wind speed (m/s) around the world — from calm zones to powerful currents.
🗺️ Animated in #RStats with terra, ggplot2, and gganimate.
#DataViz #ClimateData
For #30DayMapChallenge I explored average monthly wind speed using WorldClim data.
Each frame shows mean wind speed (m/s) around the world — from calm zones to powerful currents.
🗺️ Animated in #RStats with terra, ggplot2, and gganimate.
#DataViz #ClimateData
November 10, 2025 at 6:09 PM
🌬️ Day 10 – Air
For #30DayMapChallenge I explored average monthly wind speed using WorldClim data.
Each frame shows mean wind speed (m/s) around the world — from calm zones to powerful currents.
🗺️ Animated in #RStats with terra, ggplot2, and gganimate.
#DataViz #ClimateData
For #30DayMapChallenge I explored average monthly wind speed using WorldClim data.
Each frame shows mean wind speed (m/s) around the world — from calm zones to powerful currents.
🗺️ Animated in #RStats with terra, ggplot2, and gganimate.
#DataViz #ClimateData
Day 9 — Analog 🪶
Scenographia Systematis Copernicani — a 16th-century depiction of the heliocentric world system. Nicolaus Copernicus placed the Sun near the center of the Universe, forever changing our cosmic map. ☀️🌍✨
#30DayMapChallenge #Analog #MapHistory #Cartography
Scenographia Systematis Copernicani — a 16th-century depiction of the heliocentric world system. Nicolaus Copernicus placed the Sun near the center of the Universe, forever changing our cosmic map. ☀️🌍✨
#30DayMapChallenge #Analog #MapHistory #Cartography
November 9, 2025 at 6:42 PM
Day 9 — Analog 🪶
Scenographia Systematis Copernicani — a 16th-century depiction of the heliocentric world system. Nicolaus Copernicus placed the Sun near the center of the Universe, forever changing our cosmic map. ☀️🌍✨
#30DayMapChallenge #Analog #MapHistory #Cartography
Scenographia Systematis Copernicani — a 16th-century depiction of the heliocentric world system. Nicolaus Copernicus placed the Sun near the center of the Universe, forever changing our cosmic map. ☀️🌍✨
#30DayMapChallenge #Analog #MapHistory #Cartography
Reposted by Federica Gazzelloni
🎨 Recording now live!
Developing Your #DataVisualisation Skills in #ggplot2 with @nrennie.bsky.social
Watch the creative process exploring the #TidyTuesday cats dataset 🐈
📚 Materials & links:
🔗 nrennie.rbind.io/talks/rladies-rome-ggplot2
#RLadies #ggplot2 #TidyTuesday @fgazzelloni.bsky.social
Developing Your #DataVisualisation Skills in #ggplot2 with @nrennie.bsky.social
Watch the creative process exploring the #TidyTuesday cats dataset 🐈
📚 Materials & links:
🔗 nrennie.rbind.io/talks/rladies-rome-ggplot2
#RLadies #ggplot2 #TidyTuesday @fgazzelloni.bsky.social
Developing your data visualisation skills in ggplot2 – Nicola Rennie
We’ll be working through the process of developing a visualisation in ggplot2. Some knowledge of the tidyverse will be helpful, but all of the code in this session will be explained and available…
nrennie.rbind.io
November 8, 2025 at 8:54 PM
🎨 Recording now live!
Developing Your #DataVisualisation Skills in #ggplot2 with @nrennie.bsky.social
Watch the creative process exploring the #TidyTuesday cats dataset 🐈
📚 Materials & links:
🔗 nrennie.rbind.io/talks/rladies-rome-ggplot2
#RLadies #ggplot2 #TidyTuesday @fgazzelloni.bsky.social
Developing Your #DataVisualisation Skills in #ggplot2 with @nrennie.bsky.social
Watch the creative process exploring the #TidyTuesday cats dataset 🐈
📚 Materials & links:
🔗 nrennie.rbind.io/talks/rladies-rome-ggplot2
#RLadies #ggplot2 #TidyTuesday @fgazzelloni.bsky.social
🏙️ #30DayMapChallenge Day 8: Urban
Today’s map explores the heart of New York City — a view of buildings, roads, and parks around Central Park, blending the city’s structure and green spaces.
#rstats #dataviz #urbanplanning #nyc
Today’s map explores the heart of New York City — a view of buildings, roads, and parks around Central Park, blending the city’s structure and green spaces.
#rstats #dataviz #urbanplanning #nyc
November 8, 2025 at 9:57 AM
🏙️ #30DayMapChallenge Day 8: Urban
Today’s map explores the heart of New York City — a view of buildings, roads, and parks around Central Park, blending the city’s structure and green spaces.
#rstats #dataviz #urbanplanning #nyc
Today’s map explores the heart of New York City — a view of buildings, roads, and parks around Central Park, blending the city’s structure and green spaces.
#rstats #dataviz #urbanplanning #nyc
Day 7 – Accessibility 🌍
Travel distance to the nearest hospital across Spain using OpenStreetMap data, revealing spatial inequalities affecting health outcomes.
Explore more: bookdown.org/fede_gazzell...
#30DayMapChallenge #Accessibility #RStats #HealthData #SpatialAnalysis
Travel distance to the nearest hospital across Spain using OpenStreetMap data, revealing spatial inequalities affecting health outcomes.
Explore more: bookdown.org/fede_gazzell...
#30DayMapChallenge #Accessibility #RStats #HealthData #SpatialAnalysis
November 7, 2025 at 11:39 PM
Day 7 – Accessibility 🌍
Travel distance to the nearest hospital across Spain using OpenStreetMap data, revealing spatial inequalities affecting health outcomes.
Explore more: bookdown.org/fede_gazzell...
#30DayMapChallenge #Accessibility #RStats #HealthData #SpatialAnalysis
Travel distance to the nearest hospital across Spain using OpenStreetMap data, revealing spatial inequalities affecting health outcomes.
Explore more: bookdown.org/fede_gazzell...
#30DayMapChallenge #Accessibility #RStats #HealthData #SpatialAnalysis
Jumping into the #30DayMapChallenge 2025 💜
Loving the creativity and maps everyone is sharing so far — such a great way to learn, explore, and connect through spatial data! 🌍🗺️
#DataViz #MappingCommunity
Loving the creativity and maps everyone is sharing so far — such a great way to learn, explore, and connect through spatial data! 🌍🗺️
#DataViz #MappingCommunity
November 7, 2025 at 9:05 AM
Jumping into the #30DayMapChallenge 2025 💜
Loving the creativity and maps everyone is sharing so far — such a great way to learn, explore, and connect through spatial data! 🌍🗺️
#DataViz #MappingCommunity
Loving the creativity and maps everyone is sharing so far — such a great way to learn, explore, and connect through spatial data! 🌍🗺️
#DataViz #MappingCommunity
Day 6 – Dimension 🌍 | #30DayMapChallenge Health is complex and multidimensional.
Central Africa ranks lowest, showing how health understanding varies with chosen dimensions. 🗺️
Code and More: bookdown.org/fede_gazzell...
#RStats #dataviz #health #DataScience #30daymapchallenge
Central Africa ranks lowest, showing how health understanding varies with chosen dimensions. 🗺️
Code and More: bookdown.org/fede_gazzell...
#RStats #dataviz #health #DataScience #30daymapchallenge
November 6, 2025 at 8:53 PM
Day 6 – Dimension 🌍 | #30DayMapChallenge Health is complex and multidimensional.
Central Africa ranks lowest, showing how health understanding varies with chosen dimensions. 🗺️
Code and More: bookdown.org/fede_gazzell...
#RStats #dataviz #health #DataScience #30daymapchallenge
Central Africa ranks lowest, showing how health understanding varies with chosen dimensions. 🗺️
Code and More: bookdown.org/fede_gazzell...
#RStats #dataviz #health #DataScience #30daymapchallenge
Day 4 – My Data 🇮🇹🇫🇷🇩🇪 - corrected version
This map compares 2011–2021 mortality rates in Italy, France, and Germany for four chronic diseases: Alzheimer’s, COPD, diabetes and kidney diseases, and stroke.
Code and More: bookdown.org/fede_gazzell...
#30DayMapChallenge #RStats #GBD #DataViz
This map compares 2011–2021 mortality rates in Italy, France, and Germany for four chronic diseases: Alzheimer’s, COPD, diabetes and kidney diseases, and stroke.
Code and More: bookdown.org/fede_gazzell...
#30DayMapChallenge #RStats #GBD #DataViz
November 6, 2025 at 2:32 PM
Day 4 – My Data 🇮🇹🇫🇷🇩🇪 - corrected version
This map compares 2011–2021 mortality rates in Italy, France, and Germany for four chronic diseases: Alzheimer’s, COPD, diabetes and kidney diseases, and stroke.
Code and More: bookdown.org/fede_gazzell...
#30DayMapChallenge #RStats #GBD #DataViz
This map compares 2011–2021 mortality rates in Italy, France, and Germany for four chronic diseases: Alzheimer’s, COPD, diabetes and kidney diseases, and stroke.
Code and More: bookdown.org/fede_gazzell...
#30DayMapChallenge #RStats #GBD #DataViz
Day 5 – Earth 🌍
Mapping Suicide Mortality Across the Globe
Age-standardized suicide death rates, 1990–2021
A global view of how suicide mortality varies by region, highlighting progress and ongoing disparities.
Code and More: bookdown.org/fede_gazzell...
#30DayMapChallenge
Mapping Suicide Mortality Across the Globe
Age-standardized suicide death rates, 1990–2021
A global view of how suicide mortality varies by region, highlighting progress and ongoing disparities.
Code and More: bookdown.org/fede_gazzell...
#30DayMapChallenge
November 5, 2025 at 10:09 PM
Day 5 – Earth 🌍
Mapping Suicide Mortality Across the Globe
Age-standardized suicide death rates, 1990–2021
A global view of how suicide mortality varies by region, highlighting progress and ongoing disparities.
Code and More: bookdown.org/fede_gazzell...
#30DayMapChallenge
Mapping Suicide Mortality Across the Globe
Age-standardized suicide death rates, 1990–2021
A global view of how suicide mortality varies by region, highlighting progress and ongoing disparities.
Code and More: bookdown.org/fede_gazzell...
#30DayMapChallenge
Day 4 – My Data 🇮🇹🇫🇷🇪🇸
This map compares 2011–2021 mortality rates in Italy, France, and Spain for four chronic diseases: Alzheimer’s, COPD, diabetes and kidney diseases, and stroke.
Code and More: bookdown.org/fede_gazzell...
#30DayMapChallenge #RStats #GBD #DataViz #PublicHealth
This map compares 2011–2021 mortality rates in Italy, France, and Spain for four chronic diseases: Alzheimer’s, COPD, diabetes and kidney diseases, and stroke.
Code and More: bookdown.org/fede_gazzell...
#30DayMapChallenge #RStats #GBD #DataViz #PublicHealth
November 5, 2025 at 10:07 PM
Day 4 – My Data 🇮🇹🇫🇷🇪🇸
This map compares 2011–2021 mortality rates in Italy, France, and Spain for four chronic diseases: Alzheimer’s, COPD, diabetes and kidney diseases, and stroke.
Code and More: bookdown.org/fede_gazzell...
#30DayMapChallenge #RStats #GBD #DataViz #PublicHealth
This map compares 2011–2021 mortality rates in Italy, France, and Spain for four chronic diseases: Alzheimer’s, COPD, diabetes and kidney diseases, and stroke.
Code and More: bookdown.org/fede_gazzell...
#30DayMapChallenge #RStats #GBD #DataViz #PublicHealth
🚨 Day 3 of #30DayMapChallenge is live!
Global polygons and how to make them render correctly across projections. Repairing the geometries, and splitting multipolygons.
More insights: bookdown.org/fede_gazzell...
#DataViz #RStats #SpatialAnalysis #Maps #hmsidwR
Global polygons and how to make them render correctly across projections. Repairing the geometries, and splitting multipolygons.
More insights: bookdown.org/fede_gazzell...
#DataViz #RStats #SpatialAnalysis #Maps #hmsidwR
November 3, 2025 at 6:23 PM
🚨 Day 3 of #30DayMapChallenge is live!
Global polygons and how to make them render correctly across projections. Repairing the geometries, and splitting multipolygons.
More insights: bookdown.org/fede_gazzell...
#DataViz #RStats #SpatialAnalysis #Maps #hmsidwR
Global polygons and how to make them render correctly across projections. Repairing the geometries, and splitting multipolygons.
More insights: bookdown.org/fede_gazzell...
#DataViz #RStats #SpatialAnalysis #Maps #hmsidwR
🚨 Day 2 of #30DayMapChallenge is live!
Connections with lines 🌍 — from Wuhan to affected countries, using straight lines, great-circle curves, and flight-route style arcs.
More insights: bookdown.org/fede_gazzell...
#DataViz #RStats #SpatialAnalysis #Maps #hmsidwR
Connections with lines 🌍 — from Wuhan to affected countries, using straight lines, great-circle curves, and flight-route style arcs.
More insights: bookdown.org/fede_gazzell...
#DataViz #RStats #SpatialAnalysis #Maps #hmsidwR
November 2, 2025 at 9:35 PM
🚨 Day 2 of #30DayMapChallenge is live!
Connections with lines 🌍 — from Wuhan to affected countries, using straight lines, great-circle curves, and flight-route style arcs.
More insights: bookdown.org/fede_gazzell...
#DataViz #RStats #SpatialAnalysis #Maps #hmsidwR
Connections with lines 🌍 — from Wuhan to affected countries, using straight lines, great-circle curves, and flight-route style arcs.
More insights: bookdown.org/fede_gazzell...
#DataViz #RStats #SpatialAnalysis #Maps #hmsidwR