#spatials — Public Fediverse posts

#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

#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

#30DayMapChallenge 2022 Day 30: Remix
Campsites in Urupukapuka Island no dogs allowed
added campsites to the Islands map made on day 26
code: https://github.com/Fgazzelloni/30DayMapChallenge
@tjukanov #rstats #rspatials #maps #spatials

#30DayMapChallenge 2022 Day 29: Out of my comfort zone
map made with https://studio.foursquare.com/
link: https://studio.foursquare.com/public/1525b083-1b3d-46ec-a661-0833ca5e87cb
code for editing: https://github.com/Fgazzelloni/30DayMapChallenge
@tjukanov @Foursquare #maps #spatials #gis

#30DayMapChallenge 2022 Day 28:3D
Kontour population: Oregon & rayshader
code: https://github.com/Fgazzelloni/30DayMapChallenge
@tjukanov #maps #rspatials #spatials #rstats

#30DayMapChallenge 2022 Day 27: Music
data is from #TidyTuesday 2022 week 39 US Artists
code: https://github.com/Fgazzelloni/30DayMapChallenge
@tjukanov #rstats #rspatials #maps #spatials

#30DayMapchallenge 2022 Day 26: Islands
Custom tiles on a leaflet map, data is from New Zealand Hydrographic Authority (https://data.linz.govt.nz/)
code: https://github.com/Fgazzelloni/30DayMapChallenge
@tjukanov #rspatials #rstats #maps #spatials

#30DayMapChallenge 2022 Day 25: Colour Friday: 2 colours.
used https://studio.foursquare.com/ made Alaska housing map, edited.
link: Alaska https://studio.foursquare.com/public/c1edb9e6-af2c-4087-9563-116ad8436d93 via @Foursquare
@tjukanov #maps #gis #spatials

#30DaymapChallenge 2022 Day 24: Fantasy style
used {rnaturalearth} & proj=bonne
code: https://github.com/Fgazzelloni/30DayMapChallenge
@tjukanov #rspatials #spatials #rstats #maps #datascience

#30DayMapChallenge 2022 Day 23: Movement
Used geom_sf()+geom_sf()+geom_sf()+geom_sf()+...
Source: https://data.humdata.org/dataset/yearly-compilation-of-arrivals-to-europe
code: https://github.com/Fgazzelloni/30DayMapChallenge
@tjukanov #rspatials #rstats #maps #spatials

#30DayMapChallenge 2022 Day 22: NULL
source: https://happyplanetindex.org/countries/
Happy Planet Index NULL
made with: {tmap}
code: https://github.com/Fgazzelloni/30DayMapChallenge/tree/master/2022/day22_null
@tjukanov #rspatials #rstats #maps #spatials #NULL

#30DayMapChallenge 2022 Day 21: Kontour Population dataset
Costa Rica Population Density (for 400m H3 Hexagons)
Updated: 30 June 2022
code: https://github.com/Fgazzelloni/30DayMapChallenge
@tjukanov #rspatials #rstats #maps #spatials

#30DayMapChallenge 2022 Day 20: My favourite
This one is from one of my #TidyTuesday for the #Duboischallenge Plate 1 @DuboisChallenge

GitHub:
- https://github.com/Fgazzelloni/30DayMapChallenge/tree/master/2022
- https://github.com/Fgazzelloni/TidyTuesday/tree/main/data/2022/w6_airforce

@tjukanov #rstats #rspatials #maps #globe #spatials #regions

#30DayMapChallenge 2022 Day 19: Globe
Map data from {rnaturalearth} + coord_map("ortho") ...
code: https://github.com/Fgazzelloni/30DayMapChallenge
@tjukanov #rstats #rspatials #maps #globe #spatials

#30DayMapChallenge 2022 Day 17: A map without computer
Section of the Globe in my home 🌎🌍🌏
@tjukanov #spatials #maps #map #geo

#30DayMapChallenge 2022 Day 16: Minimal
Boston housing data from spData::boston.c colored by Median values of owner-occupied housing in USD 1000
code: https://github.com/Fgazzelloni/30DayMapChallenge/tree/master/2022
@tjukanov #rstats #rspatials #maps #spatials #DataScience

#30DayMapChallenge 2022 Day 14: Hexagons
Data is from CDC Covid data per 100K population and {tidycensus} used geom_hex() from {ggplot2}.
Code: https://github.com/Fgazzelloni/30DayMapChallenge
@tjukanov #rspatials #rstats #maps #spatials #datascience

#30DayMapChallenge 2022 Day 13: 5 minute map
World Map with map data from {ggplot2} + coord_quickmap 🗺️🌏🌍🌎
Code: https://github.com/Fgazzelloni/30DayMapChallenge/blob/master/2022/day13_5_minutes_map/day13_5_minute_map.R
@tjukanov #rspatials #rstats #maps #spatials #datascience

#30DayMapChallenge 2022 Day 12: Scale
DataSource: {leaflet} package data Atlantic Ocean storms 2005. Scales: 500km to 500 mi
Location of the Max Wind by the level of Min Pressure.
@tjukanov #rspatials #rstats #maps #spatials #datascience
GitHub: https://github.com/Fgazzelloni/30DayMapChallenge