Arbitrary Shapefile Visualization #173
Description
I am stuck on the PlotlyJS equivalent of the following example found here on the Plots.jl page:
using PlotRecipes, Shapefile
dir = "https://github.com/nvkelso/natural-earth-vector/raw/master/110m_physical/"
fn = "ne_110m_land.shp"
run(`wget $dir/$fn -P /tmp/`)
shp = open("/tmp/$fn") do fd
read(fd, Shapefile.Handle)
end
plot(shp)
I tried out the following mapbox example here
mapbox_access_token = "pk.eyJ1IjoiY2hlbHNlYXBsb3RseSIsImEiOiJjaXFqeXVzdDkwMHFrZnRtOGtlMGtwcGs4In0.SLidkdBMEap9POJGIe1eGw"
data = scattermapbox(
lat=[45.5017], lon=[-73.5673], text=["Montreal"],
mode="markers", marker_size=14,
)
layout = Layout(
autosize=true, hovermode="closest",
mapbox=attr(
accesstoken=mapbox_access_token,
bearing=0,
center_lat=45, center_lon=-73,
pitch=0,
zoom=5
)
)
plot([data], layout)
and the maps/plots via mapbox look great, but I wouldn't say they look sleek, or at least not as sleek as some of the examples here.
My goal is to visualize (and plot over) the zip code shapefile here on the Census Bureau website.