company:mapbox

Iván Sánchez Ortega / Leaflet.TileLayer.GL · GitLab
▻https://gitlab.com/IvanSanchez/Leaflet.TileLayer.GL

With this plugin, you can apply colour transforms to your tiles, merge two or more tiles with a custom function, perform on-the-fly hillshading, or create synthetic tile layers based only on the map coordinates.

See several examples and edit them :
▻http://ivansanchez.gitlab.io/Leaflet.TileLayer.GL/demo/repl.html

Why?

#Leaflet has been lagging behind when it comes to #WebGL technology. Other map libraries (such as OpenLayers 3 and most notably Tangram) can already use WebGL shaders to apply transformations to map tiles and do fancy stuff.

The inflexion point are MapBox’s “Terrain-RGB” tiles. WebGL manipulation of these tiles can provide real-time terrain relief and hill shading.

This takes some inspiration from shadertoy.com, in the sense that the shaders work on two triangles with some predefined attributes and uniforms.

#map

Quand l’essence européenne alimente l’Australie en fin d’hiver. Plus de 20000 km de voyage, les pays exportateurs étant l’Estonie et la Lettonie…
Au cœur de ce business, le trader #Trafigura.

The 16,000-Mile Gasoline Cargoes Revealing Dysfunctional Trade - Bloomberg
▻https://www.bloomberg.com/news/articles/2019-04-04/the-16-000-mile-gasoline-cargoes-revealing-dysfunctional-trade

https://assets.bwbx.io/images/users/iqjWHBFdfxIU/isvIyGAqnZBQ/v1/980x-1.jpg

• Traders sending more and more European gasoline to Australia
• Shipments show challenge for country to cover own fuel needs

Summer is coming to Europe and that can only mean one thing. It must be time to send the continent’s excess gasoline halfway across the planet.

At least 400,000 metric tons of gasoline have been shipped or booked for delivery to Australia from northwest Europe since the start of this year, according to shipping data compiled by Bloomberg. Over 10,000 tons of marine fuel will probably be consumed to transport these cargoes just on one leg of the journey, more than some refineries produce in a day.

While the precise motives for the trades are unlikely to become known, such cargoes could make sense because of the onset of Europe’s summer, which means switching to gasoline that’s more suited to warmer temperatures. That requires any excess stockpiles of winter-grade product to be cleared. Nonetheless, the cargoes also highlight the challenges Australia faces to supply itself or source alternative inventories more locally.
[…]
European flows to Australia accelerated last year, having halted since 2012. Estonia and Latvia — two Baltic states — delivered cargoes for the first time in at least seven years in 2018, according to data from ITC Trade Map, a venture between the WTO and the United Nations.

Commodities trader Trafigura Group Ltd. was the main charterer for the 400,000 tons sailing or booked for delivery so far in 2019. A spokesman for the company declined to comment.

How We Mapped 1.3m Data Points Using Mapbox - Features - Source: An OpenNews project
▻https://source.opennews.org/articles/how-we-made-our-broadband-map-using-mapbox

https://media.opennews.org/cache/f6/b6/f6b6e19ba5c2483ad2bec9f16e6b08bd.png

Five things to learn from the Financial Times’ broadband map
By David Blood and Ændrew Rininsland

▻https://ig.ft.com/gb-broadband-speed-map

#MAPBOX
#GIS
#cartographie #tutorial

On the discussion on OSMF supported #vector #tiles maps
▻http://blog.imagico.de/on-the-discussion-on-osmf-supported-vector-tiles-maps

But trying to address this problem now by crawling under the wings of Mapbox or other big corporations and making OSMs public image fully dependent on technology developed and controlled by corporate players would in my opinion be a big mistake. Open Source or not – the past experience with Mapnik and Carto has quite well demonstrated i think that OSM currently lacks the resources and expertise to develop or to organize development of a map rendering framework for the specific needs of the project independent of either the big corporate #OSM users or the broader FOSS community.

Building password.coffee ☕ ️with #glitch, Mapbox, and #netlify
▻https://hackernoon.com/building-password-coffee-%EF%B8%8Fwith-glitch-mapbox-and-netlify-5a9a43f

https://cdn-images-1.medium.com/max/1024/1*rr4Wfzy7KN1lU1D_Fto_rw.jpeg

Photo by Jantine Doornbos on Unsplash.I had a problem. I would go to a #coffee shop, maybe Blacksmith or Morningstar, sit down, and realize that somehow I did not have the WiFi password. As I discreetly looked around for the username and password I’d inevitably come to the conclusion that I should just ask the barista as I picked up my drink. Social interaction isn’t the worst thing in the world but it usually results in a finger pointing to a sign, in plain view, that I had somehow missed.In order to avoid the situation described above I could just keep a running list of places I’ve visited with their associated WiFi networks and passwords. Or I could scour Foursquare for the comment with the password in it (probably from two years ago). Or I could build a single page website with a nice (...)

#password-coffee #github

Renters and Owners — Visualizing every person in the US.
▻https://hackernoon.com/renters-and-owners-visualizing-every-person-in-the-us-ba97d3c49c02?sourc

https://cdn-images-1.medium.com/max/1024/1*Af7dqRBswAKRF68uaNM6Ow.png

Mapbox and Tippecanoe for big census dataCheck out the finished map here!Housing policy is something I deal with a lot, and so I spend a lot of time trying to make sense of housing data. While thinking about the relationship of the rental housing market with home ownership (typically represented across time), I started to wonder what that relationship looks like geographically.Certainly there are parts of cities known for having lots of condos, or apartments, or single family homes; but I was curious what this looks like on the whole, and if larger structures could be discerned.This inquiry turned into its own formidable technical challenge, and resulted in a pretty interesting data-set; read on to find out more, and how I built it!Portland, Oregon renters/owners viewed as a (...)

#mapbox #renters-and-owners #urban-planning #data-science #data-visualization

On imitated problem solving
▻http://blog.imagico.de/on-imitated-problem-solving

As many of you know for a few years now we have a new trend in remote sensing and cartography that is called Artificial Intelligence or Machine Learning.
...
Those in decision making positions at companies like Facebook and Mapbox who try to push AI or Machine Learning into cartography (see here and here) are largely aware of these limitations. If they truly believed that AIs can replace human intelligence in mapping they would not try to push such methods into OSM, they would simply build their own geo-database using these methods free of the inconvenient rules and constraints of OSM. The reason why they push this into OSM is because on their own these methods are pretty useless for cartographic purposes. As illustrated above for principal reasons they produce pretty blatant and stupid errors and even if the error rate is low that usually ruins things for most application. What would you think of a map where one percent of the buildings are in the middle of a road or river or similar? Would you trust a self driving car that uses a road database where 0.1 percent of the roads lead into a lake or wall?
...
What Facebook & Co. hope for is that by pushing AI methods into OSM they can get the OSM community to clean up the errors their trained mechanical kids inevitably produce and thereby turn the practically pretty useless AI results into something of practical value – or, to put it more bluntly, to change OSM from being a map by the people for the people into a project of crowd sourced slave work for the corporate AI overlords.
...
Computers should perform work for humans, not the other way round.
...
In other words: You should do exactly the opposite of what Facebook and Mapbox are doing in this field.

#osm #ai #machine_learning & #mapbox as usual :p

Post Mortem III · Mapzen
▻https://mapzen.com/blog/a-letter-just-to-you

Mapzen had a mandate to work only on open software and data, a very rare opportunity. Usually, companies that pursue open software or data draw a strategic line about what will be open and what will be proprietary. This makes a lot of sense; it was the case at my previous companies and will certainly be the case at my next company. But some kind of open strategy remains critical in mapping, a field dominated by incumbents who have invested billions of dollars and who use their advantages to restrict products across many industries. No one can compete in mapping at this point without embracing some collaborative efforts. At Mapzen, we went to the extreme and drew the line at near-zero proprietary elements, basically just this website and some operational code that didn’t make sense to publish.

Would I undertake this strategy again?

#logiciel_libre #open_data #cartographie #mapzen #post-mortem @b_b

Add isochrones to your next application
▻https://blog.mapbox.com/add-isochrones-to-your-next-application-e9e84a62345f

Today we’re sharing a plugin to generate your own #isochrones, right in your browser. With a starting location and Mapbox access token, the plugin will calculate isochrones up to 60 minutes via driving, cycling, or walking.

▻https://github.com/mapbox/mapbox-isochrone

https://cdn-images-1.medium.com/max/1200/0*98l51OmSqhfWtpDh.jpg https://cdn-images-1.medium.com/max/1600/0*Got3xIAWKU1l-W8e.jpg

#map

Sentinel-2 cloudless map of the world by EOX

Licensen för att använda tjänsten är #CC-BY och man skall ange: “Sentinel-2 cloudless – ►https://s2maps.eu by EOX IT Services GmbH (Contains modified Copernicus Sentinel data 2016 & 2017)” på eventuella följdprodukter. Jag antar att man får revidera texten när det börjar tas med bilder från 2018.

►https://s2maps.eu

Mapbox created a #cloudless Landsat #map in 2013. That was a huge step for all the webmapping enthusiasts as we got a composit image of the world with stunning ground resolution and still cloudless! Now EOX, a company based in Vienna, provided a similar product called Sentinel Cloudless. And it is “for free”.

via ▻http://www.digital-geography.com/short-announcement-new-cloudless-sentinel-atlas

#tiles

Launching the Mapbox Unity SDK | Mapbox
▻https://www.mapbox.com/blog/launching-mapbox-unity-sdk

https://i.imgur.com/Foy7egx.gif https://i.imgur.com/2ceDBlX.gif

We’re bringing global real world map layers, search, and directions to location-based games and AR/VR applications in one easy to use package.

Tap into layers of buildings, streets, places, water bodies, elevation, and aerial imagery to generate open worlds for location-based games or simulate real world action. Use traffic based directions to guide players, or use geocoding to search for places and display location names in your game.

Everyone can now download the Mapbox Unity SDK and start building.

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#jeu_vidéo #cartographie #mapbox #monde #simulation

Bringing #3D terrain to the browser with #Three.js | #Mapbox
▻https://www.mapbox.com/blog/3d-terrain-threejs

http://c1.staticflickr.com/1/595/31844187503_34c7d69b76_h.jpg

By bringing Mapbox’s satellite and elevation tiles into Three.js – a popular Javascript framework for WebGL –

I was able to drape the imagery over the extruded terrain and make a fully interactive 3D map to explore mountains and valleys around the world. Check it out here!

#cartographie

Maputnik

Maputnik is a free visual style editor for maps targeted at developers and designers. It allows you to pull in data sources and style the vector features with the visual editor to build your own custom #map design!

▻http://maputnik.com/editor
source : ▻https://github.com/maputnik/editor

▻https://www.youtube.com/watch?v=XoDh0gEnBQo

A new #algorithm for finding a visual center of a #polygon

▻https://www.mapbox.com/blog/polygon-center
▻https://github.com/mapbox/polylabel

http://c1.staticflickr.com/9/8801/28714168970_e93fe37013.jpg https://c1.staticflickr.com/9/8824/29000043555_6487a7ab36_h.jpg

The best place to put a text label or a tooltip on a polygon is usually located somewhere in its “visual center,” a point inside a polygon with as much space as possible around it.

The first thing that comes to mind for calculating such a center is the polygon centroid. You can calculate polygon centroids with a simple and fast formula, but if the shape is concave or has a hole, the point can fall outside of the shape.

The result is Polylabel, a fast and precise #JavaScript module for finding good points to place a label on a polygon. It is up to 40 times faster than the algorithm we started with, while also guaranteeing the correct result in all cases.

It’s now being ported to C++ and incorporated into both Mapbox GL JS and Native. The module is just 100 lines of code, so check it out!

#map

Réaction suite à la « #copyright request » de #Mapbox envers un projet #osm :

Is this really a big deal? Mapbox is a good open source citizen and they’re clearly trying to be very gentle.

But here’s the thing, Mapbox took venture capital. A sale is a likely outcome and those people aren’t going to be as nice. Think Oracle and Java.

▻http://mousebirdconsulting.blogspot.fr/2016/08/deprecating-mapbox-gl-style-sheet.html

Le ticket qui a lancé « l’affaire » : ▻https://github.com/osm2vectortiles/osm2vectortiles/issues/387

ping @fil

Mapping female versus male street names | Mapbox
▻https://www.mapbox.com/blog/streets-and-gender

http://c2.staticflickr.com/6/5691/22114687424_a23f42e5b9_b.jpg

Places and streets named after personalities are indicators of social hierarchy in a city. Often they are as prestigious as the person they are named after. We wanted to study the distribution and location of gender in eponymous streets and made a map!

We looked at the number of roads named after women versus men and their geographical distribution using OpenStreetMap data. To run the analysis we put together a light script using Turf.js and Tile Reduce and queried OSM QA Tiles.

After filtering tokens like national highways (NH), state highways (SH), crosses, mains, margs, and salais we sent the names to NamSor - a robust API for applied onomastics.

The results are fascinating, and maybe not surprising: streets named after men are more numerous and more centrally located than streets named after women in the metro areas we analyzed. Between Bengaluru, Chennai, London, Mumbai, New Delhi, Paris, and San Francisco, the percentage of streets named after women is an average of 27.5. Among the cities in India, Bengaluru tops the list with 39% of streets named after women.

We’re still working hard to perfect the code and are taking requests for more cities on Twitter. Take a look below to see what we have so far and let us know what else you would like to see!

MapBox Integrates Premium Imagery Services for Fast Turnaround - Directions Magazine
▻http://www.directionsmag.com/articles/mapbox-integrates-premium-imagery-services-for-fast-turnaround/340162

MapBox is offering its clients a six-hour turnaround for those needing near real-time satellite imagery. “This is about making it easy for people to take real-time imagery and get it on the Web or in their app in minutes - using our open source tools,” said Chris Herwig, who leads the #Satellite team at #MapBox.