Created using the 8M track lines for 2023 from Marine Cadastre (https://hub.marinecadastre.gov/pages/vesseltraffic) using dask / geopandas, datashader, qgis, xarray. Background map ESRI gray.
Data shows the “Passenger” vessel trajectories.
SteelMarch on
Always felt this worked better as time series data
PeachInABowl on
This is the marine equivalent of “people live in cities”.
Boats operate on water.
XROOR on
*Staten Island would skew the results*
bosssx on
All this map shows is by Manhattan ferry traffic = bright blue. which according to the key mean 2.5 or 5km. So ferry traffic = 2.5 or 5km in streaks around New York.
If any other info was intended, like the number of trips taken per unit of time. It fails to show that.
If the “key” is just to show scale then this map has no key, and that is day one stuff for data visualization.
![NYC 1 year of ferry traffic [OC]](https://www.byteseu.com/wp-content/uploads/2025/01/hwqokc28w6be1-1536x1086.png "NYC 1 year of ferry traffic [OC]")
5 Comments
Created using the 8M track lines for 2023 from Marine Cadastre (https://hub.marinecadastre.gov/pages/vesseltraffic) using dask / geopandas, datashader, qgis, xarray. Background map ESRI gray.
Data shows the “Passenger” vessel trajectories.
Always felt this worked better as time series data
This is the marine equivalent of “people live in cities”.
Boats operate on water.
*Staten Island would skew the results*
All this map shows is by Manhattan ferry traffic = bright blue. which according to the key mean 2.5 or 5km. So ferry traffic = 2.5 or 5km in streaks around New York.
If any other info was intended, like the number of trips taken per unit of time. It fails to show that.
If the “key” is just to show scale then this map has no key, and that is day one stuff for data visualization.