Nurasssyl's Stars
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/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/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/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/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
microsoft/RoadDetections
Road detections from Microsoft Maps aerial imagery
milos-agathon/map-uninhabited-areas
In this repo, you will learn how to use the Global Human Settlement Layer (GHSL) population data to map the uninhabited areas of the world using R and ggplot2. The GHSL population data is a high-resolution gridded
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/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/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/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/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/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/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/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.