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