cemgundogan

3d-forest-map-ggplot2

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

wind_map

This repo visualizes the wind streamlines and speed

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/

3d-city-buildings

Have you ever wondered how to make realistic and beautiful 3D maps of your favorite cities using open data and R? In this repo, I will show you how to use Bing Maps Global Building Footprint data, which contains over 1.2 BILLION building polygons across 200 countries, to create a crisp and effective 3D map of New York City with R, ggplot2, and

making-crisp-spike-maps-with-r

Join me in today's tutorial as we embark on another R quest to make a crisp spike population map using the Kontur dataset.

making-pretty_3d-topographic-maps-in-r

This repo will demonstrate how to create realistic 3D topographic maps using colors from the satellite imagery

Inset-graph-within-map-in-R

In this tutorial, you'll learn how to re-create this map with an eye on using inset graphs within a map in R

animate-maps-with-r

In this repo, I show you how to easily access one of thousands of World Development Indicators (WDI) from the World Bank database and create awesome animated maps on the global, continent and country levels

3d-digital-elevation-maps

This repo show you how to make realistic and crisp 3D digital elevation maps of any location, area or country in the world using elevatr, rayshader and rayvista packages in R 🧑🏼‍💻

6-ways-to-map-population-with-r

6 ways to map population with R

create-crisp-topographic-maps-with-r

In this tutorial, we will programmatically 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

sicss-gis-with-r

This repo serves as the basis for my SICSS talk on "GIS and Spatial Analysis with R" and provides a comprehensive guide to using R for GIS and spatial analysis. The focus of the repository is on utilizing the Uppsala Conflict Data Program's Georeferenced Event Dataset (UCDP GED) to analyze and visualize the war in Ukraine throughout the year 2022.

3D-maps-with-sf-and-ggplot2-in-r

This repo show you how to make a crisp 3D map of forest cover height in Brazil using satellite data 🧑🏼‍💻 Check the full tutorial at https://milospopovic.net/map-rivers-with-sf-and-ggplot2-in-r/

3d-relief-map-europe

mapping-wind-wtih-r

In this repo, I will teach you how to make beautiful maps of wind streamlines with R. Wind streamlines are curves that show the direction and speed of the wind at different points on the Earth. They can help us understand the weather and climate better.

visualize-temperature-with-r

This repo will show you how to access Copernicus Climate Data Store API through KrigR package in R, retrieve climate data and create powerful static and animated visualizations

create-railway-map-from-osm

Eager to use OpenStreetMap country-level data from GeoFabrik to create pretty maps but didn't know how? This repo shows 2 ways to download, process and map OSM data

zonal-statistics-classes

In this step-by-step guide, I will show you how to unlock the incredible potential of MODIS satellite data and harness the analytical power of R to run and visualize zonal statistics of land cover classes.

display-raster-on-globe-in-r

How to create a globe map using the nightlight data

hex-map-co2-emissions-with-r

Hex maps offer more natural movement, better representation of distance, better space utilization, and a more realistic representation and in this tutorial, you will learn how to make them in R using #ggplot2 and #rayshader. #rstats

how-i-make-eurostat-maps

THis tutorial opens the doors for you to make any map based on Eurostat regional data

inset-graphs-within-maps

With precision and clarity, this tutorial showcases the step-by-step process of crafting crisp and visually compelling inset graphs that seamlessly integrate with maps in R. By harnessing the power of the Global Health Observatory data via API, you will unlock a wealth of valuable insights to present and analyze global health trends.

map-africa-using-osm-data

How to map Africa or any other place using OpenStreetMap data

how-do-I-map-data-points-in-r

Hot make effective and pretty bubble maps in R using the Geonames database

map-city-expansion-with-r

Let's map city expansion with R using GLAD and OSM data

mapping-raster-files-with-terra-in-r

How to create and map a raster extent for a city bounding box

animate-bubble-maps

In this tutorial, I'll guide you through the step-by-step process of visualizing the devastating impact of the Syrian civil war using data on civilian fatalities. Using R's powerful data visualization libraries, ggplot2 and gganimate, we'll bring the data to life by creating an engaging and informative animated bubble map.

animated-active-fire-map-africa

In this tutorial, we'll use the Near Real-Time (NRT) active fire data within 3 hours of satellite observation from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the satellites distributed from NASA's Fire Information for Resource Management System. Then I'll show you how to segment the national map of Africa into hex bins and identify which fire points fall within each of them. Finally, we'll create a timelapse map of African fires for the last 10 days.

conflict-rhetoric-analysis

population_density_india