R
Geospatial
Compilations
Packages
- r-spatial/sf: Simple Features for R
- r-spatial/mapview: Interactive viewing of spatial data in R
- walkerke/tidycensus: Load US Census boundary and attribute data as 'tidyverse' and 'sf'-ready data frames in R
- walkerke/tigris: Download and use Census TIGER/Line shapefiles in R
- walkerke/mapboxapi: R interface to Mapbox web services
- riatelab/cartography: Thematic Cartography for R
- dkahle/ggmap: A package for plotting maps in R with ggplot2
- mapdeck: a combination of Mapbox and Deck.gl
- paleoimbot/ggspatial: Enhancing spatial visualization in ggplot2
- mapsf: Create and integrate thematic maps in your R workflow
- sen2r: ind, Download and Process Sentinel-2 Data
- RGISTools: Handling Multiplatform Satellite Image
- hypertidy/ceramic: Download image server tiles to a local cache
- rspatial/raster: R raster package
- echohealthalliance/fasterize: High performance raster conversion for modern spatial data
- luukvdmeer/sfnetworks: Tidy Geospatial Networks in R
- ATFutures/dodgr: Distances on Directed Graphs in R *hafen/geofacet: R package for geographical faceting with ggplot2
- euclid: a new unified foundation for computational geometry in R
- sfarrow: Read/Write Simple Feature Objects (sf) with ‘Apache’ ‘Arrow’
Tutorials
- The mapsf package
- Visualizing geo-spatial data with sf and plotly
- Drawing beautiful maps programmatically with R, sf and ggplot2 — Part 1: Basics
- Ch 2 Geographic data in R
- plotly: maps
- Making Maps in R
- Making Maps with R
- intro to R for journalists: Static maps
- Working with geopackages in R
- Cartography firefly
- Elegant and informative maps with tmap
- Spatial segmentation in R using the supercells package
- 30 Day Map Challenge in R
- Getting started with R and R-spatial
- sfnetworks/foss4g-workshop: challenges
osm
Presentations
#30DayMapChallenge
Debugging & Condition Handling
Visualization
- SDS 375 Schedule Spring 2021
- jamesotto852/ggdensity: An R package for interpretable visualizations of density estimates
- AllanCameron/geomtextpath: Create curved text paths in ggplot2
Data
- 10+ Guidelines for Better Tables in R
- Five things you never knew you could do with dplyr
- Analyzing US Census Data: Methods, Maps, and Models in R
- Modern Data Science with R
- Linear Regression Using R: An Introduction to Data Modeling
Generative Art
- fronkonstin
- djnavarro/jasmines: miscellaneous functions for Danielle's art
- djnavarro/flametree: Generative artwork that looks a bit like trees
- djnavarro/scrawl: Generates Scrawl Plots
- cutterkom/generativeart: Create Generative Art with R
- Coloring your ggplot2 art like a pro
- nrennie/aRt: An R package to create generative art.
- cj-holmes/flow-field-art: An implementation for flow-field art in R