Difference between revisions of "Lesson10"
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* [https://r-spatial.github.io/sf/articles/sf7.html Spherical geometry in sf using s2geometry] | * [https://r-spatial.github.io/sf/articles/sf7.html Spherical geometry in sf using s2geometry] | ||
| − | == | + | ==stars== |
| − | * [https://r-spatial.github.io/stars/reference/index.html | + | * [https://r-spatial.github.io/stars/reference/index.html stars reference] |
* [https://r-spatial.github.io/stars/index.html Spatiotemporal Arrays: Raster and Vector Datacubes] | * [https://r-spatial.github.io/stars/index.html Spatiotemporal Arrays: Raster and Vector Datacubes] | ||
| + | * [https://r-spatial.github.io/stars/articles/stars1.html Introduction] | ||
| + | * [https://r-spatial.github.io/stars/articles/stars3.html stars tidyverse methods] | ||
| + | * [https://r-spatial.github.io/stars/articles/stars7.html Statistical modelling with stars objects] | ||
==tmap package== | ==tmap package== | ||
Revision as of 21:00, 21 February 2021
ISSS608 Visual Analytics and Applications
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Geovisualisation and GeoVisual Analytics with R
Content
- Handling Geospatial Data with R
- sf package for vector data handling
- raster package for raster data handling
- Star package for spatio-temporal data data handling
- Thematic Mapping with R
- Introducing tmap
- Proportional symbol mapping with tmap
- Choropleth mapping with tmap
- GeoVisual Analytics with R
- Statistical mapping
- GeoVisual Analytics Application with R Shiny
All About R
sf package
- Simple Features for R
- Reading, Writing and Converting Simple Features
- Manipulating Simple Feature Geometries
- Manipulating Simple Features
- Plotting Simple Features
- Miscellaneous
- Spherical geometry in sf using s2geometry
stars
- stars reference
- Spatiotemporal Arrays: Raster and Vector Datacubes
- Introduction
- stars tidyverse methods
- Statistical modelling with stars objects
