Which Python library is commonly used for geospatial data manipulation?scikit-learnmatplotlibgeopandasseaborn

Breakdown the Problem

1. Identify the libraries listed: scikit-learn, matplotlib, geopandas, seaborn.
2. Determine which library is specifically suited for geospatial data manipulation.

Relevant Concepts

• Scikit-learn is mainly used for machine learning.
• Matplotlib is primarily for plotting and visualization.
• Seaborn is built on top of matplotlib for statistical data visualization.
• Geopandas extends the capabilities of pandas to enable spatial operations on geospatial data.

Analysis and Detail

• Geospatial data involves the analysis and visualization of geographic locations and features, which requires specialized functionality.
• Geopandas is designed specifically to handle geospatial data types and operations, making it the appropriate choice among the options provided.

Verify and Summarize

• After evaluating the functionalities of each library, it’s evident that Geopandas provides the necessary tools for geospatial data manipulation.

Final Answer

The commonly used Python library for geospatial data manipulation is Geopandas.