Maarten Lambrechts

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Data visualization consultant at the World Bank
www.maartenlambrechts.com
Websitehttps://www.maartenlambrechts.com
Githubhttps://github.com/maartenzam

I have a weak spot for flowers visible from space. Here are some recent ones I found:

Purple jacaranda trees in Pretoria, South Africa

Pink tajibo trees in eastern Bolivia

Tulips (and probably other flowers too) near Hillegom, The Netherlands

Bevor Sie zu Google Maps weitergehen

Built a little tool to make and download locator globe maps

Framework: Svelte https://svelte.dev/
Data: Natural Earth (with some modifications) https://www.naturalearthdata.com/
Mapping: d3-geo https://d3js.org/d3-geo
Globe dragging: d3-drag https://d3js.org/d3-drag and versor https://github.com/d3/versor
Downloading: svg-crowbar https://svg-crowbar.js.org/

Thanks to all creators and contributors to these amazing tools!

#Cartography #Mapping #DataVisualization

Svelte • Web development for the rest of us

Web development for the rest of us

Place didn't disappoint
Love it when the Street View imagery of the conference venue is from 2009. Makes all the more sense when the topic is EU #cohesion funds #Ostrava https://www.google.com/maps/@49.818515,18.2804394,3a,75y,308.12h,119.25t/data=!3m6!1e1!3m4!1sXgUPXPqeC5i1T1yQPYWelA!2e0!7i13312!8i6656!5m1!1e4?entry=ttu
Bevor Sie zu Google Maps weitergehen

The EU Data Visualisation Guide was published last month

https://data.europa.eu/apps/data-visualisation-guide/

I wrote all the content for it, and I built the interactive publication in @sveltejs. It has 7 chapters and contains a ton of examples. You can search it for a topic, or use it as a guided course and browse from page to page. It basically condenses all I learned about data visualization in the past decade

Data Visualisation Guide

2 months ago, my friend and direct colleague Rob Simmon lost his job. It was a painful parting, but one little silver ligning is that he was able to pick up his great "A Gentle Introduction to GDAL" series. He just published part 7 of the series, about transforming data:
https://medium.com/@robsimmon/a-gentle-introduction-to-gdal-part-7-transforming-data-178df8640dd2

Find the links to the other 6 parts at the bottom of the article

#GDAL #EarthObservation #RemoteSensing

They ruined my colour correction, but German newspaper FAZ did a very nice job of annotating this satellite image of the frontlines near Tokmak in Ukraine. The scale bar is especially brilliant!

https://www.faz.net/aktuell/politik/ausland/gegenoffensive-der-ukraine-russland-wurde-auf-der-krim-empfindlich-getroffen-19182855.html

(North is not 100% up, to get the widest crop possible out of the scenes I worked with)

Gegenoffensive der Ukraine: Russland wurde auf der Krim empfindlich getroffen

Die ukrainischen Streitkräfte haben weiter die Initiative, auf der Krim haben sie Russland empfindlich getroffen. Doch vom Ziel ihrer Offensive sind sie noch weit entfernt.

FAZ.NET
When the inset map gives away that you shouldn't use the Mercator projection for your map of Canada (and that your scale bar is useless)
Satellite imagery on the New York Times front page, and Planet imagery on page 5. Online visual investigation here: https://www.nytimes.com/interactive/2023/05/30/world/asia/russia-oil-ships-sanctions.html
Fake Signals and American Insurance: How a Dark Fleet Moves Russian Oil

The New York Times tracked several oil tankers faking their locations while transporting Russian oil currently under Western sanctions, in an apparent effort to deceive their American insurer.

The New York Times