Day 11 | Senses: Sound | #30DayMapChallenge | Live Music in Berlin. Data: OSM and Natural Earth.
Tools: #Rstats #ggplot2 #rnaturalearth #ggspatial #sf #dplyr #GeoportalBerlin
Tools: #Rstats #ggplot2 #rnaturalearth #ggspatial #sf #dplyr #GeoportalBerlin
November 11, 2026 at 6:28 AM
Day 11 | Senses: Sound | #30DayMapChallenge | Live Music in Berlin. Data: OSM and Natural Earth.
Tools: #Rstats #ggplot2 #rnaturalearth #ggspatial #sf #dplyr #GeoportalBerlin
Tools: #Rstats #ggplot2 #rnaturalearth #ggspatial #sf #dplyr #GeoportalBerlin
Day 12 | Power | #30DayMapChallenge | Where Is Germany Strongest? German powerlifting by state: who lifts the most, and where. Data: OpenPowerlifting Made with #RStats #ggplot2 #datatable #rnaturalearth #ggspatial #sf
November 12, 2026 at 6:12 AM
Day 12 | Power | #30DayMapChallenge | Where Is Germany Strongest? German powerlifting by state: who lifts the most, and where. Data: OpenPowerlifting Made with #RStats #ggplot2 #datatable #rnaturalearth #ggspatial #sf
Day 13 | Interactions | #30DayMapChallenge | The Road to Bundesliga: Hertha BSC 2026–2027. Every Hertha match left this season: 23 games against 17 opponents.
Data: DFL 2. Bundesliga 2026/27 schedule, Eurostat GISCO, elevatr
Made with #rstats #sf #ggplot2 #ggspatial #giscoR #terra
Data: DFL 2. Bundesliga 2026/27 schedule, Eurostat GISCO, elevatr
Made with #rstats #sf #ggplot2 #ggspatial #giscoR #terra
November 13, 2026 at 6:40 AM
Day 13 | Interactions | #30DayMapChallenge | The Road to Bundesliga: Hertha BSC 2026–2027. Every Hertha match left this season: 23 games against 17 opponents.
Data: DFL 2. Bundesliga 2026/27 schedule, Eurostat GISCO, elevatr
Made with #rstats #sf #ggplot2 #ggspatial #giscoR #terra
Data: DFL 2. Bundesliga 2026/27 schedule, Eurostat GISCO, elevatr
Made with #rstats #sf #ggplot2 #ggspatial #giscoR #terra
Day 9 | Urban-rural | #30DayMapChallenge | City, Suburb, Village, Field – All of It Berlin.
Data: Umweltatlas Berlin 2025 and OpenStreetMap.
Made with #RStats #sf #ggplot2 #rnaturalearth #patchwork #ggspatial #GeoportalBerlin
Data: Umweltatlas Berlin 2025 and OpenStreetMap.
Made with #RStats #sf #ggplot2 #rnaturalearth #patchwork #ggspatial #GeoportalBerlin
November 9, 2026 at 6:32 AM
Day 9 | Urban-rural | #30DayMapChallenge | City, Suburb, Village, Field – All of It Berlin.
Data: Umweltatlas Berlin 2025 and OpenStreetMap.
Made with #RStats #sf #ggplot2 #rnaturalearth #patchwork #ggspatial #GeoportalBerlin
Data: Umweltatlas Berlin 2025 and OpenStreetMap.
Made with #RStats #sf #ggplot2 #rnaturalearth #patchwork #ggspatial #GeoportalBerlin
Day 6 | Vintage | #30DayMapChallenge. Berlin as an old blueprint, with white ink on cyanotype paper.
Data: OpenStreetMap. #RStats #sf #dplyr #ggplot2 #ggspatial #rnaturalearth
Data: OpenStreetMap. #RStats #sf #dplyr #ggplot2 #ggspatial #rnaturalearth
November 6, 2026 at 10:32 AM
Day 6 | Vintage | #30DayMapChallenge. Berlin as an old blueprint, with white ink on cyanotype paper.
Data: OpenStreetMap. #RStats #sf #dplyr #ggplot2 #ggspatial #rnaturalearth
Data: OpenStreetMap. #RStats #sf #dplyr #ggplot2 #ggspatial #rnaturalearth
Día 8 | Utopía | #30DayMapChallenge
El sueño de muchos capitalinos (gente de Tegucigalpa y Comayagüela): La ciudad más verde. 91 % de la ciudad quedaría a cinco minutos a pie de un parque. Hoy es solo el 22 %. #rstats #sf #terra #igraph #dplyr #ggplot2 #ggspatial #ggrepel #patchwork #rnaturalearth
El sueño de muchos capitalinos (gente de Tegucigalpa y Comayagüela): La ciudad más verde. 91 % de la ciudad quedaría a cinco minutos a pie de un parque. Hoy es solo el 22 %. #rstats #sf #terra #igraph #dplyr #ggplot2 #ggspatial #ggrepel #patchwork #rnaturalearth
November 8, 2026 at 1:52 PM
Día 8 | Utopía | #30DayMapChallenge
El sueño de muchos capitalinos (gente de Tegucigalpa y Comayagüela): La ciudad más verde. 91 % de la ciudad quedaría a cinco minutos a pie de un parque. Hoy es solo el 22 %. #rstats #sf #terra #igraph #dplyr #ggplot2 #ggspatial #ggrepel #patchwork #rnaturalearth
El sueño de muchos capitalinos (gente de Tegucigalpa y Comayagüela): La ciudad más verde. 91 % de la ciudad quedaría a cinco minutos a pie de un parque. Hoy es solo el 22 %. #rstats #sf #terra #igraph #dplyr #ggplot2 #ggspatial #ggrepel #patchwork #rnaturalearth
Day 5 | Sight | #30DayMapChallenge. What Berlin Sees. How much of the city can be seen, and from where? viewsheds of every viewpoint and observation tower.
#RStats #sf #terra #ggplot2 #osmdata #patchwork #ggspatial #rnaturalearth #GeoportalBerlin
#RStats #sf #terra #ggplot2 #osmdata #patchwork #ggspatial #rnaturalearth #GeoportalBerlin
November 5, 2026 at 5:12 AM
Day 5 | Sight | #30DayMapChallenge. What Berlin Sees. How much of the city can be seen, and from where? viewsheds of every viewpoint and observation tower.
#RStats #sf #terra #ggplot2 #osmdata #patchwork #ggspatial #rnaturalearth #GeoportalBerlin
#RStats #sf #terra #ggplot2 #osmdata #patchwork #ggspatial #rnaturalearth #GeoportalBerlin
Day 4 | Clusters | #30DayMapChallenge. Which Berlin neighbourhoods share the same trees? | Neighbourhoods grouped by the species mix of their street and park trees.
#RStats #sf #ggplot2 #vegan #cluster #fpc #dendextend #patchwork #ggspatial #Baumkataster #GeoportalBerlin
#RStats #sf #ggplot2 #vegan #cluster #fpc #dendextend #patchwork #ggspatial #Baumkataster #GeoportalBerlin
November 4, 2026 at 6:45 AM
Day 4 | Clusters | #30DayMapChallenge. Which Berlin neighbourhoods share the same trees? | Neighbourhoods grouped by the species mix of their street and park trees.
#RStats #sf #ggplot2 #vegan #cluster #fpc #dendextend #patchwork #ggspatial #Baumkataster #GeoportalBerlin
#RStats #sf #ggplot2 #vegan #cluster #fpc #dendextend #patchwork #ggspatial #Baumkataster #GeoportalBerlin
Day 3 | Polygons | #30DayMapChallenge. How diverse are the trees in each Berlin neighbourhood? Shannon index (H') of street and park trees per neighbourhood.
#RStats #sf #ggplot2 #vegan #patchwork #ggspatial #dplyr #rnaturalearth #GeoportalBerlin
#RStats #sf #ggplot2 #vegan #patchwork #ggspatial #dplyr #rnaturalearth #GeoportalBerlin
November 3, 2026 at 6:53 AM
Day 3 | Polygons | #30DayMapChallenge. How diverse are the trees in each Berlin neighbourhood? Shannon index (H') of street and park trees per neighbourhood.
#RStats #sf #ggplot2 #vegan #patchwork #ggspatial #dplyr #rnaturalearth #GeoportalBerlin
#RStats #sf #ggplot2 #vegan #patchwork #ggspatial #dplyr #rnaturalearth #GeoportalBerlin
Day 2 | Lines | #30DayMapChallenge. Berlin’s 20 Green Main Trails | Signposted walking routes through parks, forests and neighbourhoods, from the city centre to the edge of Berlin, mostly away from car traffic.
#RStats #sf #ggplot2 #igraph #patchwork #ggspatial #dplyr #OpenStreetMap #GeoportalBerlin
#RStats #sf #ggplot2 #igraph #patchwork #ggspatial #dplyr #OpenStreetMap #GeoportalBerlin
November 2, 2026 at 6:42 AM
Day 2 | Lines | #30DayMapChallenge. Berlin’s 20 Green Main Trails | Signposted walking routes through parks, forests and neighbourhoods, from the city centre to the edge of Berlin, mostly away from car traffic.
#RStats #sf #ggplot2 #igraph #patchwork #ggspatial #dplyr #OpenStreetMap #GeoportalBerlin
#RStats #sf #ggplot2 #igraph #patchwork #ggspatial #dplyr #OpenStreetMap #GeoportalBerlin
Updates on CRAN: BigDataStatMeth (2.0.5), clmplus (1.1.1), DiscreteTests (0.5.2), ggspatial (1.1.11), Guerry (1.8.5), hydrodownloadR (0.1.5), LSJM (0.1.1), miic (2.0.4), opencv (0.6.0), pavo (2.10.0), pdynmc (0.9.13)
September 14, 2026 at 11:42 PM
Updates on CRAN: BigDataStatMeth (2.0.5), clmplus (1.1.1), DiscreteTests (0.5.2), ggspatial (1.1.11), Guerry (1.8.5), hydrodownloadR (0.1.5), LSJM (0.1.1), miic (2.0.4), opencv (0.6.0), pavo (2.10.0), pdynmc (0.9.13)
#30DayMapChallenge Day 27: Resources. One of the most precious resources is clean air. Luckily, concentration levels of nitrogen dioxide in #Helsinki haven't increased. Data: Helsinki Region Environmental Services Authority. Code: https://t.co/etVEr96alA #rstats #sf #ggspatial
November 13, 2024 at 2:55 PM
#30DayMapChallenge Day 27: Resources. One of the most precious resources is clean air. Luckily, concentration levels of nitrogen dioxide in #Helsinki haven't increased. Data: Helsinki Region Environmental Services Authority. Code: https://t.co/etVEr96alA #rstats #sf #ggspatial
A study of Global Water Futures Observatory site Sibbald Fen shows that sudden warming events like chinooks can trigger bursts of CO₂ from mountain peatlands—even in winter. As winters warm, this hidden carbon loss could grow. www.nature.com/articles/s41... @envwaterloo.bsky.social @water.usask.ca
![Map of Sibbald Fen in the Rocky Mountains of Alberta, Canada, with a detailed view of the eddy covariance tower footprint processed for January to October 2021. Maps were produced in R [55] using the ggplot2 [56], sf [57], ggspatial [58], and rnaturalearth [59] packages. Elevation data were retrieved via the elevatr package [60]. Vegetation cover was derived from a supervised classification of UAV-acquired RGB imagery, acquired on 29 August 2021. From 10.1038/s41598-026-50725-6](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:wf5boreevwxmcbepg5n4afas/bafkreiddtq3oasb5rolwq3zhubyazs4ej42lkzo22hb4ga6yazon4rrptq)
May 14, 2026 at 1:17 PM
A study of Global Water Futures Observatory site Sibbald Fen shows that sudden warming events like chinooks can trigger bursts of CO₂ from mountain peatlands—even in winter. As winters warm, this hidden carbon loss could grow. www.nature.com/articles/s41... @envwaterloo.bsky.social @water.usask.ca
#30DayMapChallenge - day 20 - OpenStreetMap
First in a series of maps about the conflict in eastern Democratic Republic of Congo, where M23 rebels, supported by the Rwandan miltary, fight the Congolese army. Plotted the national boundaries over the OSM tiles from {ggspatial}.
#rstats #dataviz
First in a series of maps about the conflict in eastern Democratic Republic of Congo, where M23 rebels, supported by the Rwandan miltary, fight the Congolese army. Plotted the national boundaries over the OSM tiles from {ggspatial}.
#rstats #dataviz
February 8, 2025 at 12:08 AM
#30DayMapChallenge - day 20 - OpenStreetMap
First in a series of maps about the conflict in eastern Democratic Republic of Congo, where M23 rebels, supported by the Rwandan miltary, fight the Congolese army. Plotted the national boundaries over the OSM tiles from {ggspatial}.
#rstats #dataviz
First in a series of maps about the conflict in eastern Democratic Republic of Congo, where M23 rebels, supported by the Rwandan miltary, fight the Congolese army. Plotted the national boundaries over the OSM tiles from {ggspatial}.
#rstats #dataviz
I used this excellent tutorial from @milos-makes-maps.bsky.social - highly recommended if you want to try for yourself. I swapped out the {terra} package for {ggspatial} to get my map.
#rstats #dataviz
#rstats #dataviz
Travel time (isochrone) maps with R
YouTube video by Milos Makes Maps
www.youtube.com
January 14, 2025 at 11:49 PM
I used this excellent tutorial from @milos-makes-maps.bsky.social - highly recommended if you want to try for yourself. I swapped out the {terra} package for {ggspatial} to get my map.
#rstats #dataviz
#rstats #dataviz
Updates on CRAN: alookr (0.3.91), dlookr (0.6.4), ggspatial (1.1.10), mutualinf (2.0.4), NumericEnsembles (0.10.1), sps (0.6.2)
August 24, 2025 at 9:03 AM
Updates on CRAN: alookr (0.3.91), dlookr (0.6.4), ggspatial (1.1.10), mutualinf (2.0.4), NumericEnsembles (0.10.1), sps (0.6.2)
Not a tutorial but useful package --
paleolimbot.github.io/ggspatial/
paleolimbot.github.io/ggspatial/
Spatial Data Framework for ggplot2
Spatial data plus the power of the ggplot2 framework means easier mapping when input
data are already in the form of spatial objects.
paleolimbot.github.io
October 13, 2023 at 11:30 AM
Not a tutorial but useful package --
paleolimbot.github.io/ggspatial/
paleolimbot.github.io/ggspatial/
#30DayMapChallenge 2023 #day29 Population
Kontur data for Ireland Population density and cities 🤩
Tools: #R, {ggspatial}, {cowplot}, {sf},..
#rspatials #rstats #datascience #maps #DataVisualization
Kontur data for Ireland Population density and cities 🤩
Tools: #R, {ggspatial}, {cowplot}, {sf},..
#rspatials #rstats #datascience #maps #DataVisualization
November 29, 2023 at 9:22 PM
#30DayMapChallenge 2023 #day29 Population
Kontur data for Ireland Population density and cities 🤩
Tools: #R, {ggspatial}, {cowplot}, {sf},..
#rspatials #rstats #datascience #maps #DataVisualization
Kontur data for Ireland Population density and cities 🤩
Tools: #R, {ggspatial}, {cowplot}, {sf},..
#rspatials #rstats #datascience #maps #DataVisualization
#Day8 | Distributions – Circular | #30DayChartChallenge | Elevation distribution in the most circular department of Honduras. Built with #RStats using #sf, #raster, #exactextractr, #ggplot2, #ggnewscale, #ggtext, #dplyr, #terra, #showtext, #scales, #patchwork and #ggspatial.
April 8, 2026 at 4:12 AM
#Day8 | Distributions – Circular | #30DayChartChallenge | Elevation distribution in the most circular department of Honduras. Built with #RStats using #sf, #raster, #exactextractr, #ggplot2, #ggnewscale, #ggtext, #dplyr, #terra, #showtext, #scales, #patchwork and #ggspatial.
Día 27 – Límites #30DayMapChallenge. Bosques en La Reserva del Hombre y Biósfera del Río Plátano. Herramienta: R usando terra, sf, tidyverse, tidyterra, showtext, ggtext, cowplot y ggspatial.
November 28, 2025 at 4:35 AM
Día 27 – Límites #30DayMapChallenge. Bosques en La Reserva del Hombre y Biósfera del Río Plátano. Herramienta: R usando terra, sf, tidyverse, tidyterra, showtext, ggtext, cowplot y ggspatial.
Día 26 – Transporte #30DayMapChallenge. Infraestructura de Transporte Aéreo y Marítimo Centroamérica 2025. Herramienta: R usando sf, ggplot2, dplyr, rnaturalearth, ggimage, ggrepel, patchwork, magick, terra, stars y ggspatial.
November 26, 2025 at 4:14 AM
Día 26 – Transporte #30DayMapChallenge. Infraestructura de Transporte Aéreo y Marítimo Centroamérica 2025. Herramienta: R usando sf, ggplot2, dplyr, rnaturalearth, ggimage, ggrepel, patchwork, magick, terra, stars y ggspatial.
Día 25 – Hexágonos #30DayMapChallenge. Cantidad de Caserios por Hexágono de 20km Cuadrados. Herramienta: R usando sf, ggplot2, showtext, ggspatial, dplyr, rnaturalearth, rnaturalearthdata, classInt, scales, grid, magrittr, stringr y patchwork.
November 25, 2025 at 3:18 AM
Día 25 – Hexágonos #30DayMapChallenge. Cantidad de Caserios por Hexágono de 20km Cuadrados. Herramienta: R usando sf, ggplot2, showtext, ggspatial, dplyr, rnaturalearth, rnaturalearthdata, classInt, scales, grid, magrittr, stringr y patchwork.
Día 12 – Mapa del 2125 #30DayMapChallenge. Población de Centroamérica al 2125. Herramienta: R usando los paquetes rnaturalearth, rnaturalearthdata, sf, ggplot2, dplyr, patchwork, grid, showtext, ggspatial y scales.
November 23, 2025 at 11:11 PM
Día 12 – Mapa del 2125 #30DayMapChallenge. Población de Centroamérica al 2125. Herramienta: R usando los paquetes rnaturalearth, rnaturalearthdata, sf, ggplot2, dplyr, patchwork, grid, showtext, ggspatial y scales.