Harriet Mason
@harriet-mason.bsky.social
3rd year PhD Student in Statistical Graphics. Dog aficionado. Candy connoisseur.
The idea is to just have a "sample" version of every base geom in a ggplot extension, rather than crafting new bespoke plots. The only reason it is entirely maps is because I just got back from several months of leave and haven't implemented the other geoms yet lol.
August 10, 2025 at 4:24 AM
The idea is to just have a "sample" version of every base geom in a ggplot extension, rather than crafting new bespoke plots. The only reason it is entirely maps is because I just got back from several months of leave and haven't implemented the other geoms yet lol.
ggdibbler is not supposed to be competing with Vizumap, it's building upon the package. There are two main reasons I implemented ggdibbler:
1) I wanted a ggplot extension so I could have all the flexibility of a ggplot.
2) I wanted it to run a bit faster
1) I wanted a ggplot extension so I could have all the flexibility of a ggplot.
2) I wanted it to run a bit faster
August 10, 2025 at 3:55 AM
ggdibbler is not supposed to be competing with Vizumap, it's building upon the package. There are two main reasons I implemented ggdibbler:
1) I wanted a ggplot extension so I could have all the flexibility of a ggplot.
2) I wanted it to run a bit faster
1) I wanted a ggplot extension so I could have all the flexibility of a ggplot.
2) I wanted it to run a bit faster
They are actually supposed to be the same plot. The difference between Lydia's pixel map and the ggdibbler implementation isn't the visuals. Changing the options to palette=Greens, linewidth=0, and n=10 (which are all accessible as ggplot2/ggdibbler options) makes the two plots nearly identical.
August 10, 2025 at 3:51 AM
They are actually supposed to be the same plot. The difference between Lydia's pixel map and the ggdibbler implementation isn't the visuals. Changing the options to palette=Greens, linewidth=0, and n=10 (which are all accessible as ggplot2/ggdibbler options) makes the two plots nearly identical.