Skip to main content

Cuomo Is Eating De Blasio's Lunch On Congestion Pricing

Cuomo Is Eating De Blasio's Lunch On Congestion Pricing Governor Andrew Cuomo made congestion pricing a centerpiece of his budget presentation earlier this month, pledging to raise $15 billion for transit improvements by tolling vehicles crossing bridges into Manhattan or traveling below 60th Street in Manhattan. According to a recent poll, 52 percent of New York State residents support congestion pricing, and that number climbs even higher for those living in the city. Missing from the conversation: Mayor Bill de Blasio, who at first said he did not "believe" in congestion pricing, and now says that the idea to toll cars coming into his city has nothing to do with him. [ more › ] Gothamist http://bit.ly/2Tm8G4f January 29, 2019 at 11:23PM

Comments

Popular posts from this blog

Controlling legend appearance in ggplot2 with override.aes

[This article was first published on Very statisticious on Very statisticious , and kindly contributed to R-bloggers ]. (You can report issue about the content on this page here ) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. In ggplot2 , aesthetics and their scale_*() functions change both the plot appearance and the plot legend appearance simultaneously. The override.aes argument in guide_legend() allows the user to change only the legend appearance without affecting the rest of the plot. This is useful for making the legend more readable or for creating certain types of combined legends. In this post I’ll first introduce override.aes with a basic example and then go through three additional plotting scenarios to how other instances where override.aes comes in handy. Table of Contents R packages Introducing override.aes Adding a guides() layer Using the guide argument in scale_*() Changing multiple aesthetic par...

Zooming in on maps with sf and ggplot2

(This article was first published on r-bloggers – WZB Data Science Blog , and kindly contributed to R-bloggers) When working with geo-spatial data in R, I usually use the sf package for manipulating spatial data as Simple Features objects and ggplot2 with geom_sf for visualizing these data. One thing that comes up regularly is “zooming in” on a certain region of interest, i.e. displaying a certain map detail. There are several ways to do so. Three common options are: selecting only certain areas of interest from the spatial dataset (e.g. only certain countries / continent(s) / etc.) cropping the geometries in the spatial dataset using sf_crop() restricting the display window via coord_sf() I will show the advantages and disadvantages of these options and especially focus on how to zoom in on a certain point of interest at a specific “zoom level”. We will see how to calculate the coordinates of the display window or “bounding box” around this zoom point. Loading t...