mapview
worldview
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| mapview | worldview | |
|---|---|---|
| 2 | 26 | |
| 505 | 673 | |
| 0.2% | 0.9% | |
| 6.2 | 9.6 | |
| 11 days ago | 1 day ago | |
| JavaScript | JavaScript | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mapview
- Looking for some HW help.
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Most reliable mapping package atm?
mapview for interactive mapping & data exploration on free google-like street maps and satellite view maps. The associated mapshot function should be able to get the same in a static plot.
worldview
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Receiving Weather Satellite Images Using SatDump
Messing around with SDR is a really fun little hobby. There's something very satisfying about picking up signals that are just floating around waiting to be seen.
I briefly tried writing an SDR tuner in JavaScript a while back but there was a bug somewhere between Chrome and my SDR dongle that meant it failed whenever you tried to tune to a different frequency. I might pick it back up and see if it's possible now.
If you're interested in near-realtime weather images without having to fiddle with SDR, NASA collate images from loads of different satellites at https://worldview.earthdata.nasa.gov/ and so do EUMETSAT at https://view.eumetsat.int/productviewer?v=default#
I used the EUMETSAT data to build this service which provides 3-hourly cloud maps for the whole Earth, which are surprisingly difficult to find: https://github.com/matteason/live-cloud-maps
- NASA Eosdis Worldview
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Satellite Cloud Formations Analysis And Speculation
These images are taken from https://worldview.earthdata.nasa.gov/. The three satellites used for the images are the Terra/MODIS, Aqua/MODIS, Suomi NPP/VIIRS and GCOM-W1/AMSR2 (For wind speed only).
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NASA Shares First Images from US Pollution-Monitoring Instrument
[3] <https://worldview.earthdata.nasa.gov/?v=-131.9352415053293,-...>
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Wildfire smoke affecting trips?
you can use this link if you want to see satellite pics of the fires, you can see the smoke plumes from up high, it's pretty great
- /r/WorldNews Live Thread: Russian Invasion of Ukraine Day 477, Part 1 (Thread #618)
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Why don’t the oceans on google earth have satellite imagery?
You might enjoy browsing NASA EOSDIS Worldview. The spatial resolution is low, but there's a lot to look at in the oceans. You see the traces of wind, interesting cloud patterns, algae blooms, etc. But you also get a sense of how showing any one day as the map wouldn't make a lot of sense.
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Detailed satelite imagery at a specific date
Link: https://worldview.earthdata.nasa.gov/
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Vista desde el espacio: dramáticas imágenes de los incendios en Nayarit al 20 de abril de 2023
Puedes obtenerlas de eosdis de la NASA https://worldview.earthdata.nasa.gov/
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Ice Out, North West Ontario
I find a tool like NASA Woldview is about as good as it gets. Would also suggest contacting an outfitter in the area, they’re usually more than happy to help with questions like that
What are some alternatives?
terra - R package for spatial data handling https://rspatial.github.io/terra/reference/terra-package.html
AzureMapsCodeSamples - A set of code samples for the Azure Maps web control.
leaflet-search - Search stuff in a Leaflet map
tmap - R package for thematic maps
kedro-viz - Visualise your Kedro data and machine-learning pipelines and track your experiments.
Frappe Charts - Simple, responsive, modern SVG Charts with zero dependencies
LDAvis - R package for web-based interactive topic model visualization.
TweeView - A Tree View For Tweets
echarty - The goal of echarty is to provide a minimal interface, a “glue”, between R and ECharts, then let your R data lists build the chart. There are utilities included to assist with data preparation, Shiny with proxy and JS plugins. Have the full functionality of ECharts in R with minimal overhead!