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Achievement: StarstruckAchievement: Public SponsorAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

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milos-agathon/README.md

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Hi, I'm Milos, welcome to my GitHub page!

I am a leading data visualization specialist and a Product Manager at Booking.com in Amsterdam.
I use R to create maps that make sense of big data. My portfolio includes over 300 maps!
According to NodeXL, I am among the Top 10 dataviz and R contributor on Twitter

What do I use in my work?

R Python MySQL Tableau Apache Spark Apache Hadoop Jupyter Visual Studio Code Qgis Sublime Text

Sharing is caring: Check out my tutorials on data/geospatial analysis with R 👇🏻

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Take a look at the sample of my most popular maps 👇🏻

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Let's connect! 🖇

I'm open for new projects and collaborations, so feel free to send me a message! Here is where you can find me:

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Popular repositories Loading

  1. 3d-land-cover-map 3d-land-cover-map Public

    Learn how to harness the power of ESRI Living Atlas of the World Sentinel-2 Global Land Cover data at an incredible 10m resolution to create ultra-crisp 3D elevation and land cover maps using rays…

    R 33 9

  2. 3d-forest-type-map 3d-forest-type-map Public

    In this repo, you will learn how to create wonderful 3D forest-type maps with rayshader in R. We will create a 3D elevation mapped overlayed with an image of forest-type values derived from the Cop…

    R 32 7

  3. 3d-vintage-topo-maps 3d-vintage-topo-maps Public

    In this repo, I’ll show you how to use rayshader in R to transform old 3D topo maps into 3D topo maps

    R 26 1

  4. 3d-forest-height-maps 3d-forest-height-maps Public

    In this tutorial, I will show you how to use ggplot2 and rayshader in R to make powerful 3D maps of forest canopy height using the ETH Global Canopy Height dataset

    R 25 9

  5. 3d-forest-map-ggplot2 3d-forest-map-ggplot2 Public

    This repo shares the ultimate guide to making cool 3D maps with rayshader and ggplot2 in R

    R 23 4

  6. mapping-river-basins-with-r mapping-river-basins-with-r Public

    In this tutorial, I will show you how to use HydroSHEDS data to create a beautiful and informative map of Brazil’s river basins. You will learn how to download, process and visualize the HydroSHEDS…

    Jupyter Notebook 22 2