From the course: Geospatial Raster Data Analytics in Python

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Data acquisition

Data acquisition - Python Tutorial

From the course: Geospatial Raster Data Analytics in Python

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Data acquisition

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- [Instructor] In this section, we will download several widely used public raster data sets that we are going to build on, explore, and analyze in this course. First, we go for a global raster data set, which is called GLS, or Global Human Settlement Layer. The European Commission has published a set of spatial data, which includes the Global Human Settlement Layer, capturing global population levels. This data shows the number of estimated inhabitants in each grid cell. These grid cells are available in a few different spatial resolutions and different coordinate systems. Additionally, we can download historical population information as well as future projections. On the website, once selecting the desired perimeters, you can just click on the highlighted section started by downloading. In our exercise, we'll use the version using the WGS 84 projection system with a spiritual resolution of 30 arc-seconds containing data from 2020. After the population data, we'll include countries…

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