Скачать или смотреть Creating Stunning 3D Maps of Pakistan Using Climatic and DEM Data in R | Data Visualization Tutorial

In this video, I show you how to create a stunning 3D map of Pakistan using climatic data and Digital Elevation Model (DEM) data. If you're a researcher, data scientist, or enthusiast looking to visualize geographical and climate data in a unique and impactful way, this tutorial is for you!

I walk you through every step of the process, starting from downloading the CHELSA climate data, including temperature and precipitation, and combining it with DEM data that reflects the terrain's elevation. You’ll learn how to crop and resample these datasets to align perfectly with each other, ensuring that the data fits the geographic boundaries of Pakistan.

The highlight of the video is when we take all this data and render it into a captivating 3D map using R's powerful visualization packages like `rayshader` and `ggplot2`. You’ll see how the 3D terrain looks with real-time elevation effects and climatic information overlayed.

If you’re in the field of environmental studies, geography, or geospatial analysis, creating 3D maps like this one can greatly enhance your research presentations. Not only does this technique provide clear and interactive visuals, but it also helps in understanding complex relationships between temperature, precipitation, and terrain.

I also dive into creating custom map themes, adding color palettes, and adjusting the legend placement for a professional finish. Additionally, I guide you through rendering high-quality 3D visuals that you can easily export for use in your publications or presentations.

By the end of this tutorial, you’ll be able to plot 3D maps of any region with your own climatic and terrain data, giving your work a professional edge and helping you present data in a more dynamic and visually engaging way.

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