milos-agathon

3d-forest-height-maps

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

3d-forest-map-ggplot2

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

3d-forest-type-map

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 Copernicus Global Land Cover project, which provides a harmonized and high-resolution classification and mapping of land cover types across the globe.

3d-land-cover-map

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 rayshader in R

3d-river-maps

Explore the capabilities of the `rayshader` package in R with my new tutorial. I'll guide you through the process of creating detailed 3D elevation and river maps for any country. This step-by-step tutorial is perfect for anyone looking to enhance their mapping skills with powerful visualization tools. 🌍🖥️

3d-vintage-topo-maps

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

crisp-topographical-map-with-r

In this repo, I'll show you how to programatically access satellite imagery from several APIs to create such a map of Italy. We will use a single interface to query the data without even downloading raster data to your local drive 😲. For a tutorial please visit https://milospopovic.net/crisp-topography-map-with-r/

map-rivers-with-sf-and-ggplot2-in-R

Let's make a pretty map of European rivers using the Global River Classification dataset 🧑🏼‍💻 Check the full tutorial at https://milospopovic.net/map-rivers-with-sf-and-ggplot2-in-r/

mapping-river-basins-with-r

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 data

wind_map

This repo visualizes the wind streamlines and speed

milos-agathon/3d-land-cover-map

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 rayshader in R

milos-agathon/3d-vintage-topo-maps

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

milos-agathon/mapping-river-basins-with-r

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 data

milos-agathon/3d-river-maps

Explore the capabilities of the `rayshader` package in R with my new tutorial. I'll guide you through the process of creating detailed 3D elevation and river maps for any country. This step-by-step tutorial is perfect for anyone looking to enhance their mapping skills with powerful visualization tools. 🌍🖥️

milos-agathon/arcgis-in-r

In this repo, we are going to explore the amazing power of the R-ArcGIS connection. You will discover how to use R to access the vast ArcGIS database and create stunning NDVI maps with the awesome ggplot2 and rayshader packages

milos-agathon/tree-height-maps-meta

In this repo, I'll guide you through the process of downloading the latest tree canopy height data from Meta and the World Resources Institute, with a detailed resolution of 1 meter. You'll learn how to create clear static maps using ggplot2 in both light and dark themes, as well as interactive maps with leaflet

milos-agathon/map-population-change

In this repo, I show you how to map the population change in Romania from 1990 to 2020 using ggplot2 in R. 🗺️ I use the GHSL population data, which provides high-resolution population rasters for the whole world. 🌎 I take the difference between the 1990 and 2020 rasters to calculate the population change in each pixel. 🧮

milos-agathon/3d-railway-maps

This repository is a practical guide to using the rayshader library in R for creating 3D maps of railways and terrain from OpenStreetMap data. It's aimed at those interested in visualizing geographic information in a three-dimensional format for any country.

milos-agathon/3d-urban-area-maps

In this repo, I show you how to create stunning 3D maps of urban areas using R and Global Human Settlement Layer data. 🎥✨ This data is amazing: it gives you detailed information on the built-up areas for any place on Earth. 🛰️🗺️ You'll learn how to use rayshader, a powerful R package, to turn this data into realistic and beautiful 3D maps. 😍

milos-agathon/esa-land-cover

Harnessing the power of ESA’s satellite data and Microsoft’s Planetary Computer STAC API, we’re crafting detailed maps of land cover using R. Whether you’re a nature enthusiast or a city lover, our tutorial will guide you through the fascinating process of visualizing our planet’s diverse terrains

milos-agathon/eurostat-maps-2024

Do you want to learn how to make beautiful choropleth maps of Europe? You are in for a treat! This repo shows you how to load Eurostat data into R using the new API and make a stunning map of Median age in Europe. 🗺️

milos-agathon/precipitation-maps

In this tutorial, I'll show you how to use the pRecipe to download the MSWEP data, compute the average precipitation for any location and time period of your interest and use ggplot2 and rayshader to create beautiful 2D and 3D maps that show the variation of precipitation across space

milos-agathon/deforestation-maps

Welcome to this tutorial where you'll learn how to map deforestation using Global Forest Change data (2001-2023) from GLAD. In this repo, we'll cover: 1. Fetching forest cover and tree loss data for your region of interest. 2. Reclassifying raster files into periods. 3. Creating powerful maps with tidyterra and ggplot2.

milos-agathon/3-maps-population-density

In this video, I will show you how to use the WorldPop 1km population grid adjusted by UN figures to create three types of maps: choropleth, spike, and contour.

milos-agathon/3d-elevation-inset-maps

In this repo, we're diving deep into the realm of 3D elevation maps with inset maps, also known as study area maps. We'll harness the power of ggplot2 and rayshader in R to transform your data into stunning, high-definition 3D landscapes.

milos-agathon/make-your-3d-city

In this repo, I will show you how to use LiDAR and orthophoto data to create a stunning 3D city map using rayshader in R

milos-agathon/carbon-emissions-per-capita

Do you want to learn how to measure the carbon footprint of different regions around the world using R? In this repo, I'll show you how to combine the gas emissions data from EDGAR version 8 and population data from GHSL to calculate subnational carbon emissions per capita for any country in the world using zonal statistics in R.

milos-agathon/dynamic-3d-population-map

In repo video, I will show you how to create stunning 3D population maps with deck.gl in R using the latest Kontur 2023 population data. deck.gl is a powerful and easy-to-use framework for creating interactive and immersive data visualizations that allows you to create 3D maps with various layers and effects.

milos-agathon/temperature-anomaly-maps

In this repo, you'll learn how to use NASA's temperature anomaly data to create detailed maps in R. We'll cover how to reproject the data into different map projections, including Robinson and Orthographic, and how to visualize it using ggplot2. This guide is perfect for anyone interested in climate data or mapping in R.

milos-agathon/map-urban-zones

In this repo, I'll show you how to use the GHS built-up characteristics dataset, which provides information on the spatial distribution and morphology of built-up areas around the world. You'll learn how to use ggplot2 in R to create maps of Morphological Settlement Zones, which are clusters of built-up cells with similar characteristics.

milos-agathon/milos-agathon

milos-agathon/shipping-traffic-maps

In this repo, we'll explore how to utilize data from the World Bank and IMF on global shipping traffic, along with EOG VIIRS nightlight data. You'll learn to create clear and detailed maps for any region worldwide using ggplot2 in R. This guide is ideal for those interested in data visualization and geographic mapping.

milos-agathon/trade-routes

In this repo, I'll show you how to use the United Nations Comtrade database, which contains over 1.5 billion records of trade flows between countries. You'll learn how to use ggplot2 in R to create great circles that show the trade relationships of the largest wheat exporters in 2022.

milos-agathon/3d-light-bubble-map

In this repo, we will explore how to add light materials to the Global Power Plant database and render amazing scenes with R: using rayshader and rayrender packages, transforming the data, adjusting the lighting parameters, and creating realistic 3D graphics with simple code.

milos-agathon/aggdp-cartogram-map

In this repo, I will show you how to make awesome cartogram maps of agricultural GDP using R and ggplot2. You will learn how to use ggplot2 to create cartograms that adjust the size of countries based on their farming value.

milos-agathon/dot-density-maps

In today's tutorial, we'll roll up our sleeves and create 2D and 3D dot density maps using R, ggplot2, and rayshader. Buckle up, because we're about to turn data into visual magic!

milos-agathon/shortest-route

I'll show you how to find the nearest fuel stations from any location, and how to visualize the results on a map.

milos-agathon/us-flight-routes

In this repo, I’ll show you how to get US flight data, calculate flight routes and make stunning network visualizations of flight routes with R. 🌎 You’ll learn how to use the ggraph package in R and its edge path bundling algorithm to create the shortest flight paths. 🛬

milos-agathon/mapping-sex-ratio

In this repo, I will show you how to use Meta’s Data for Good, a free and open source platform that provides access to demographic data from around the world, to create a sex ratio map with R and ggplot2

milos-agathon/traffic-noise-maps

This repo offers a comprehensive guide on utilizing the European Environmental Agency's traffic noise data. We will demonstrate how to calculate noise levels for major roads and illustrate the process of creating informative noise maps using R.