#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.
Day 13 – 10 Minutes Map #30DayMapChallenge. Ten Minute Walk to BOLU, Berlin :). Tools: R usign the packages sf, osrm, ggplot2, ggspatial, dplyr, osmdata and grid.
November 23, 2025 at 9:36 PM
Day 13 – 10 Minutes Map #30DayMapChallenge. Ten Minute Walk to BOLU, Berlin :). Tools: R usign the packages sf, osrm, ggplot2, ggspatial, dplyr, osmdata and grid.
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
Día 1 – Puntos #30DayMapChallenge Puntos de ocurrencia de Chimancé (Pan troglodytes) según datos de GBIF. Herramientas: R con los paquetes rgbi, rnaturalearth rnaturalearthdata, sf, ggplot2, dplyr, ggspatial, showtext y grid
November 1, 2025 at 10:55 PM
Día 1 – Puntos #30DayMapChallenge Puntos de ocurrencia de Chimancé (Pan troglodytes) según datos de GBIF. Herramientas: R con los paquetes rgbi, rnaturalearth rnaturalearthdata, sf, ggplot2, dplyr, ggspatial, showtext y grid
Tag 20 – Wasser #30DayMapChallenge. Gewässer in Berlin. R unter Verwendung der Pakete osmdata, sf, dplyr, ggplot2, stringr, ggspatial, units und ggrepel.
November 20, 2025 at 4:54 AM
Tag 20 – Wasser #30DayMapChallenge. Gewässer in Berlin. R unter Verwendung der Pakete osmdata, sf, dplyr, ggplot2, stringr, ggspatial, units und ggrepel.
Día 2 – Líneas #30DayMapChallenge, Distribución de Elevaciones Parque Nacional Pico Bonito Honduras. Herramientas: R con los paquetes sf, exactextractr, ggplot2, ggnewscale, ggtext, dplyr, terra, showtext, scales, patchwork, ggspatial, metR, rnaturalearth y rnaturalearthdata.
November 2, 2025 at 2:03 PM
Día 2 – Líneas #30DayMapChallenge, Distribución de Elevaciones Parque Nacional Pico Bonito Honduras. Herramientas: R con los paquetes sf, exactextractr, ggplot2, ggnewscale, ggtext, dplyr, terra, showtext, scales, patchwork, ggspatial, metR, rnaturalearth y rnaturalearthdata.
Día 16 – Celdas #30DayMapChallenge. Cantidad de Poblados por Hexagono de 20km Cuadrados. Herramienta: R usando sf, ggplot2, showtext, ggspatial, dplyr, rnaturalearth, rnaturalearthdata, classInt, scales, grid, magrittr, stringr y patchwork.
November 16, 2025 at 6:45 PM
Día 16 – Celdas #30DayMapChallenge. Cantidad de Poblados por Hexagono de 20km Cuadrados. Herramienta: R usando sf, ggplot2, showtext, ggspatial, dplyr, rnaturalearth, rnaturalearthdata, classInt, scales, grid, magrittr, stringr y patchwork.
Día 10 – Aire #30DayMapChallenge. Concentración de Dióxido de Nitrógeno Honduras 2024. Fuente: Copernicus - ESA. Herramienta: R usando los paquetes terra, sf, tidyterra, ggplot2, ggspatial, showtext, sysfonts, tidyverse y patchwork.
November 23, 2025 at 6:23 PM
Día 10 – Aire #30DayMapChallenge. Concentración de Dióxido de Nitrógeno Honduras 2024. Fuente: Copernicus - ESA. Herramienta: R usando los paquetes terra, sf, tidyterra, ggplot2, ggspatial, showtext, sysfonts, tidyverse y patchwork.
Día 7 – Accesibilidad #30DayMapChallenge. ¿Qué tan cerca estas de un Coco Baleadas?. Herramientas: R con los paquetes sf, osrm, ggplot2, ggspatial, dplyr, ggimage, RcolorBrewer, osmdata y grid.
November 10, 2025 at 5:17 AM
Día 7 – Accesibilidad #30DayMapChallenge. ¿Qué tan cerca estas de un Coco Baleadas?. Herramientas: R con los paquetes sf, osrm, ggplot2, ggspatial, dplyr, ggimage, RcolorBrewer, osmdata y grid.
Day 28 – The Blue Planet #30DayMapChallenge. Caribbean Sea Bathymetry. Tools: R using packages: ggOceanMaps, sf, ggspatial, ggplot2, patchwork, rnaturalearth, rnaturalearthdata, showtext and ggtext.
November 28, 2024 at 6:07 PM
Day 28 – The Blue Planet #30DayMapChallenge. Caribbean Sea Bathymetry. Tools: R using packages: ggOceanMaps, sf, ggspatial, ggplot2, patchwork, rnaturalearth, rnaturalearthdata, showtext and ggtext.
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.
Day 4 – Hexagons #30DayMapChallenge Accumulated Precipitation for Nicaragua for 2023. Tools:
R with packages: ggplot2, sf, scico, rnaturalearth, grid, ggspatial, and showtext
R with packages: ggplot2, sf, scico, rnaturalearth, grid, ggspatial, and showtext
November 4, 2024 at 5:32 PM
Day 4 – Hexagons #30DayMapChallenge Accumulated Precipitation for Nicaragua for 2023. Tools:
R with packages: ggplot2, sf, scico, rnaturalearth, grid, ggspatial, and showtext
R with packages: ggplot2, sf, scico, rnaturalearth, grid, ggspatial, and showtext
Día 3 – Polígonos #30DayMapChallenge. Densidad Poblacional Por Departamentos Honduras 2025. Fuente WorldPop. Herramientas: R con los paquetes raster, tidyverse, sf, exactextractr, ggtext, showtext elevatr, ggnewscale, units, patchwork y ggspatial.
November 3, 2025 at 4:16 AM
Día 3 – Polígonos #30DayMapChallenge. Densidad Poblacional Por Departamentos Honduras 2025. Fuente WorldPop. Herramientas: R con los paquetes raster, tidyverse, sf, exactextractr, ggtext, showtext elevatr, ggnewscale, units, patchwork 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 18 – Fuera de Este Mundo #30DatMapChallenge. Ciudades - GOT. Herramienta: R usando sf, ggplot2, ggspatial, dplyr, showtext y ggrepel
November 18, 2025 at 3:12 AM
Día 18 – Fuera de Este Mundo #30DatMapChallenge. Ciudades - GOT. Herramienta: R usando sf, ggplot2, ggspatial, dplyr, showtext y ggrepel
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/
Day 10 | Distributions / Multi – Modal | #30DayChartChallenge. Visualization made with R using #ggplot2, #tidyverse, #cowplot, #stars, #raster, #ggspatial and #sf. Data source: Sentinel-2 MSI (2024)
April 11, 2025 at 3:45 AM
Day 10 | Distributions / Multi – Modal | #30DayChartChallenge. Visualization made with R using #ggplot2, #tidyverse, #cowplot, #stars, #raster, #ggspatial and #sf. Data source: Sentinel-2 MSI (2024)
Assuming you’re using `geom_sf()` to add the points to the map, if you add `ggspatial::annotation_map_tile() +` as the first line of code after `ggplot()` and then add `+ theme_void()` to the end of the ggplot stack, that should produce an acceptable map that you can then experiment with.
August 25, 2025 at 6:45 PM
Assuming you’re using `geom_sf()` to add the points to the map, if you add `ggspatial::annotation_map_tile() +` as the first line of code after `ggplot()` and then add `+ theme_void()` to the end of the ggplot stack, that should produce an acceptable map that you can then experiment with.
Día 15 – Fuego #30DayMapChallenge. Área Quemada en Centroamérica 2025. Herramienta: R usando terra, sf, ggplot2, rnaturalearth, dplyr, ggspatial, showtext, patchwork y exactextractr.
November 15, 2025 at 2:25 PM
Día 15 – Fuego #30DayMapChallenge. Área Quemada en Centroamérica 2025. Herramienta: R usando terra, sf, ggplot2, rnaturalearth, dplyr, ggspatial, showtext, patchwork y exactextractr.
#30DayMapChallenege day 24: The Mud Lakes of Nova Scotia! Here I use the SedonaDB #Rstats bindings with ggspatial+utils for the cartography. The Nova Scotia boundary here is from Overture Maps "divisions" which works great in SedonaDB/R! dewey.dunnington.ca/post/2025/da...
November 24, 2025 at 3:37 PM
#30DayMapChallenege day 24: The Mud Lakes of Nova Scotia! Here I use the SedonaDB #Rstats bindings with ggspatial+utils for the cartography. The Nova Scotia boundary here is from Overture Maps "divisions" which works great in SedonaDB/R! dewey.dunnington.ca/post/2025/da...
Día 24 – Únicamente formas circulares #30DayMapChallenge. Distribución de los poblados de Costa Rica. Herramienta: R usando los paquetes sf, ggplot2, showtext y ggspatial
November 24, 2024 at 4:27 PM
Día 24 – Únicamente formas circulares #30DayMapChallenge. Distribución de los poblados de Costa Rica. Herramienta: R usando los paquetes sf, ggplot2, showtext 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 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 5 – A Journey #30DayMapChallenge. Tercera Etapa del Viaje de Alexander von Humboldt por América. Herramientas: R usando: tidyverse, sf, ggtext, ggimage, showtext y ggspatial.
November 9, 2024 at 12:21 AM
Día 5 – A Journey #30DayMapChallenge. Tercera Etapa del Viaje de Alexander von Humboldt por América. Herramientas: R usando: tidyverse, sf, ggtext, ggimage, showtext y ggspatial.
Day 8 – HDX hashtag#30DayMapChallenge Distributions of Centenarias by Province in Panamá. Tools:
R with packages: ggplot2, tidyverse, sf, ggrepel, ggspatial, patchwork, showtext, and ggtext. Data: HDX - HDX - data.humdata.org/dataset/cod-...
R with packages: ggplot2, tidyverse, sf, ggrepel, ggspatial, patchwork, showtext, and ggtext. Data: HDX - HDX - data.humdata.org/dataset/cod-...
November 8, 2024 at 2:58 PM
Day 8 – HDX hashtag#30DayMapChallenge Distributions of Centenarias by Province in Panamá. Tools:
R with packages: ggplot2, tidyverse, sf, ggrepel, ggspatial, patchwork, showtext, and ggtext. Data: HDX - HDX - data.humdata.org/dataset/cod-...
R with packages: ggplot2, tidyverse, sf, ggrepel, ggspatial, patchwork, showtext, and ggtext. Data: HDX - HDX - data.humdata.org/dataset/cod-...