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How to plot raster and vector data together?
In order to plot the raster and vector data together in the same plot, you need to identify the spatial extent of the raster data file so that matplotlib can correctly place the raster data in geographic space.
How to overlay raster and vector data in Matplotlib?
Use a plotting_extent object to plot spatial vector and raster data together using matplotlib. You often want to create a map that includes a raster layer (for example a satelite image) with vector data such as political boundaries or study area boundaries overlayed on top of that raster layer.
How can I create a map using rasterio?
You often want to create a map that includes a raster layer (for example a satelite image) with vector data such as political boundaries or study area boundaries overlayed on top of that raster layer. If you are reading in your raster data using rasterio, your data will be returned as a numpy array containing the raster data values.
When to use raster or vector data in spatial analysis?
When working with raster or vector data within the sphere of spatial analysis there are of course a myriad of use cases that can be employed but as has been touched upon already there are specific cases where it can make sense to use one over another.
Which is an example of raster overlay by addition?
Below is an example of raster overlay by addition for suitability modeling. Three raster layers (steep slopes, soils, and vegetation) are ranked for development suitability on a scale of 1 to 7. When the layers are added (bottom), each cell is ranked on a scale of 3 to 21.
Where is the spatial data stored in Matplotlib?
The spatial information will be stored separately in a metadata dictionary. If you plot the numpy array using matplotlib, the corner location of the raster is unknown and so the plot will begin at the x,y location: 0,0. If you want to overlay a spatial vector layer on top of that raster, the data will not line up correctly.