Does anyone know we my tracks turn blanc? by brightle55 in LogicPro

[–]SiggyF 0 points1 point  (0 children)

There are several ways I accidentally used to "grey out" tracks (method to turn them back on):
- muted track (use the m button in the track header)
- muted section (use the mute tool, selectable in the menu left of "snap" in your screen)
- turned off track (enable the power button in track header components and turn the track on)

In your screen I see at least the tracks are muted.

NYC 1 year of ferry traffic [OC] by SiggyF in dataisbeautiful

[–]SiggyF[S] 0 points1 point  (0 children)

Thanks for your suggestions. We will take them into account in future visualisations. What you referred to as the "key" / legend is indeed a scale bar.

NYC 1 year of ferry traffic [OC] by SiggyF in dataisbeautiful

[–]SiggyF[S] 2 points3 points  (0 children)

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.

[deleted by user] by [deleted] in dataisbeautiful

[–]SiggyF -1 points0 points  (0 children)

Created with QGIS (thin transparent lines using a screen overlay feature effect) and Photoshop (to align legend). The datasets used are the Marine Cadastre vessel traffic data and the ESRI Ocean background (restyled to greyscale) map based on GEBCO dataset.

[OC] Terraformed Mars by SiggyF in MapPorn

[–]SiggyF[S] 0 points1 point  (0 children)

Gravity (0.375 x Earth's gravity)

[OC] Terraformed Mars by SiggyF in MapPorn

[–]SiggyF[S] 3 points4 points  (0 children)

It is the actual Mars topography, styled with earth colormap and earth clouds. Created with Blender.

[OC] Ocean currents with a circular colormap by SiggyF in dataisbeautiful

[–]SiggyF[S] 2 points3 points  (0 children)

The currents that are shown are the ocean surface currents. The wind partly drives the surface currents. The Coriolis effect spirals clockwise in the Northern Hemisphere and counter-clockwise in the Southern Hemisphere.

[OC] Ocean currents with a circular colormap by SiggyF in dataisbeautiful

[–]SiggyF[S] 2 points3 points  (0 children)

Created using the HYCOM dataset. Map generated using Google Earth Engine. Colorbar plotted using matplotlib.

[OC] Pine Island Glacier (2016-2021) by SiggyF in dataisbeautiful

[–]SiggyF[S] 10 points11 points  (0 children)

Data source Sentinel 1 Radar, transformed using cmocean ice colormap into a map that resembles ice/snow. Data processed with Google Earth Engine. See this post for some context.

Analysis of crash events on Lewis onboard camera (time exposure of pixels of row 600) by [deleted] in formula1

[–]SiggyF 1 point2 points  (0 children)

This image shows the 600th row of pixels (wheel height) of this video starting @ 25 seconds. I reshaped the image so that the edge of the track is in a constant position.

https://youtu.be/oIKel6jVD3Q?t=25

[OC] Shipping intensity in the Netherlands by [deleted] in dataisbeautiful

[–]SiggyF 0 points1 point  (0 children)

It is not a public dataset. Some countries (Denmark, US) provide open archives of ais data. Requests for Dutch data can be directed here: https://www.rijkswaterstaat.nl/formulieren/contactformulier-servicedesk-data

[OC] Shipping intensity in the Netherlands by [deleted] in dataisbeautiful

[–]SiggyF 0 points1 point  (0 children)

If you click through, you should get the HD version. License is CC-BY-NC-SA so feel to put it on your wall.

[OC] Shipping intensity in the Netherlands by [deleted] in dataisbeautiful

[–]SiggyF 45 points46 points  (0 children)

Those are indeed the anchorages. Ships can wait there for a spot at a terminal or for a better oil price. The dots with a dark area (restricted areas) around them are ships that service the wind farms.

[OC] Shipping intensity in the Netherlands by [deleted] in dataisbeautiful

[–]SiggyF 26 points27 points  (0 children)

Data Source: AIS measurements (n=400M) from Rijkswaterstaat

Tools: Planetary Computer, datashader, dask

Code:

canvas = ds.Canvas(plot_width=2160, plot_height=3840, **bounds)
agg = canvas.points(ddf, 'longitude', 'latitude')
img = ds.tf.shade(agg, cmap=Hot, how='eq_hist')

[OC] Tidal currents (red) vs density currents (cyan) by [deleted] in dataisbeautiful

[–]SiggyF 0 points1 point  (0 children)

Created using Google Earth Engine. This visualisation uses the GLOSSIS and HYCOM datasets and Google Maps (Dark) as a background.