Quiz on raster data
Check how much you remember from previous sections by answering the questions below.
What is the key difference between a pandas Series and an xarray DataArray?
✗There is no difference. Both pandas Series, and xarray DataArray are 2-dimensional.
✓A pandas Series is 1-dimensional, while xarray DataArray can handle N-dimensional arrays.
✗A pandas Series can store multiple data types, while xarray DataArray cannot.
✗A pandas Series cannot have an index, while xarray DataArray can.
Which of the following is xarray mainly used for?
✗Creating 2D plots of geospatial data.
✓Handling multi-dimensional arrays of data, particularly in scientific computing.
✗Extracting statistical data from raster images.
✗Accessing online maps from OpenStreetMap.
What is the primary purpose of the datashader
package?
✗To convert raster data to vector data.
✗Dividing large datasets into smaller ones for easier analysis.
✗To manually tune visual parameters for large datasets.
✓To visualize large datasets quickly and flexibly.
What does the .rio.clip()
method do in the context of xarray?
✗It clips vector data based on raster bounds.
✗To download raster data from remote servers.
✗It extracts specific coordinates from a raster.
✓It crops a raster dataset to the extent of a geometry.
How does the .sel()
method work in xarray?
✗It selects specific values from a dataset based on index positions.
✓It selects a subset of data along specified dimensions using label-based indexing.
✗It merges different datasets into a single DataArray.
✗It reprojects raster data to a new coordinate reference system.
What does the xr.concat()
function do in the xarray package?
✗It merges different DataFrames based on a common index.
✓It concatenates multiple xarray DataArrays or Datasets into a single DataArray or a Dataset along a specified dimension.
✗It concatenates multiple xarray DataArrays into a single DataArray along a specified dimension.
✗It extracts statistical summaries from raster data.
What are zonal statistics used for?
✗Calculating pixel values for specific locations in a raster.
✗Merging multiple rasters into one.
✗Resampling raster data to a different resolution.
✓Summarizing raster data values within the boundaries of specified areas.
What tool can be used to download administrative boundary data from OpenStreetMap in Python?
✗geopandas
✗contextilly
✓osmnx
✗rioxarray