From the course: Advanced Geospatial Data Analytics in Python

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Visualize the temporal changes in spatial data

Visualize the temporal changes in spatial data - Python Tutorial

From the course: Advanced Geospatial Data Analytics in Python

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Visualize the temporal changes in spatial data

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- [Instructor] After collecting and pre-processing the population grid and restricting them to Germany, now let's visually observe them. For this, we are going to read in and visualize all the six rasters corresponding to all the six epochs we downloaded. Additionally, since population data tends to be heavily skewed, we are going to do a log scaled coloring on the visualizations. So we will need to import a few more additional functions. Then we are going to read the list of raster files to make sure that we have the right data for us to work with. Then using these raster files, we are also going to read in all the six rasters. So this way we will have a list of raster grids containing six elements. And as you can see here, we truly have six raster grids in this Python list. Then since we are going to do log scaling and we want to make sure that all the images are aligned to the same scale, we will need to extract global, lower and upper cut of values that will be the same for all…

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