#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
#tidytuesday #rstats #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 #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 #maps #spatials #gis
#30DayMapChallenge 2022 Day 28:3D
Kontour population: Oregon & rayshader
code: https://github.com/Fgazzelloni/30DayMapChallenge
@tjukanov #maps #rspatials #spatials #rstats
#30DayMapChallenge #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 #tidytuesday #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 #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 #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 #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 #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 #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 #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 #tidytuesday #duboischallenge #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 #rstats #rspatials #maps #globe #spatials
#30DayMapChallenge 2022 Day 17: A map without computer
Section of the Globe in my home πππ
@tjukanov #spatials #maps #map #geo
#30DayMapChallenge #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 #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 #rspatials #rstats #maps #spatials #datascience
#30DayMapChallenge 2022 Day 13: 5 minute map
World Map with map data from {ggplot2} + coord_quickmap πΊοΈπππ
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 #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
#30DayMapChallenge #rspatials #rstats #maps #spatials #datascience