#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 #day24 Black & White: Belgium Jittered 🙃
Tool: #R
Bit inspired by some interesting syntax used by @ryanahart
#rspatials #rstats #spatials #datascience

#30DayMapChallenge 2023 #day21 Raster

Represented elevation colors for Alaska, image provided by

Data: QGis Sample Data

Tool: #R

#rspatials #rstas #datascience #maps #spatials

#30DayMapChallenge 2023 #day20 Outdoors: Coastlines

Scalerank of Global Coastlines

Data: {rnaturalearthhires}

Tool: #R

#rspatials #rstas #datascience #maps #spatials

#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}

#datscience #rspatials #spatials #rstats #maps

#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
HydroSHEDS

‍The HydroSHEDS database provides freely available global digital data layers in support of hydro-ecological research and applications worldwide. Its various hydrographic data products include catchment boundaries, river networks, and lakes at multiple resolutions and scales.

#30DayMapChallenge 2023 #day16 Oceania

Population Peaks: Exploring Oceania's Cities

DataSource: Wikipedia

Tool: #R

#rstats #rspatials #datascience #maps #spatials

#30DayMapChallenge 2023🗺️ | #Day15 | OpenStreetMap
Valéncia, ES schools and underground stations.
DataSource: {osmdata}
Tool: #R

#rspatials #rstats #datascience #maps #graphics #spatials

#TidyTuesday week47 UK Museums
tried UK Museums with {mapdeck} edited fonts and added a table with {gt}
DataSource: Mapping Museums project
code: https://github.com/Fgazzelloni/TidyTuesday
#rstats @R4DSCommunity #datascience #rspatials #spatials #maps
GitHub - Fgazzelloni/TidyTuesday: several TidyTuesday interesting examples

several TidyTuesday interesting examples. Contribute to Fgazzelloni/TidyTuesday development by creating an account on GitHub.

GitHub