Using GeoPandas for Geospatial Analysis in Python - AI-Powered Learning for Developers

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Using GeoPandas for Geospatial Analysis in Python

Beginner

46 Lessons

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

1 Project

96 Playgrounds

This course includes

1 Project

96 Playgrounds

Course Overview

Geospatial analysis plays a crucial role in various applications, from urban planning and environmental monitoring to transportation logistics and emergency response. In this course you will be introduced to GIS applications in Python through the GeoPandas library. You'll begin with the essentials of geospatial data and its formats. You'll then learn to import, manipulate, and export geospatial data using Geopandas. Moving forward, you’ll explore advanced geoprocessing techniques and create captivating vi...Show More

What You'll Learn

An understanding of the basic concepts behind geospatial data

A hands-on experience manipulating geospatial data provided in various formats

A working knowledge of the most common GIS operations such as spatial clipping, merging, and overlays

The ability to apply GIS concepts and methods to real-world datasets

A familiarity with creating visually engaging and informative static and interactive maps

What You'll Learn

An understanding of the basic concepts behind geospatial data

Course Content

Introduction to Geospatial Data and Geopandas

Course Introduction Overview of Geospatial Data Vectorial Data Raster Data Projections and Coordinate Reference Systems (CRS)Python Libraries for Geospatial Data From pandas to GeoPandas Quiz: Basic Concepts

Importing and Exporting Geospatial Data

Importing Geospatial Data Quick Data Visualization Reading In-memory Geometry Exporting Geospatial Data in Various Data Formats Exercise: Basic I/O Solution: Basic I/O GeoDataFrame Filtering DataFrame Operations Exercise: DataFrame Operations Solution: DataFrame Operations Tabular Coordinates: GeoSeries and Geometry Collections Examples: Creating Geometries

Geoprocessing with Geopandas

Spatial-Specific Attributes Clipping and Merging Exercise: Clipping and Merging Solution: Clipping and Merging Spatial Aggregation Constructive Methods: Centroid, Buffer, and Simplify Constructive Methods: Envelope and Convex Hull Exercise: Aggregation and Constructive Methods Solution: Aggregation and Constructive Methods Affine Transformations Comparing Datasets with Overlays Overlays in Practice Exercise: Overlays Solution: Overlays Proximity Analysis Sampling Points from Raster Data Exercise: Proximity and Sampling Solution: Proximity and Sampling

Spatial Data Visualization

Introduction to Map Plotting with GeoPandas Choropleth Maps Layered Maps Background Maps with Contextily Advanced Plotting with Geoplot Interactive Maps with Folium

Transportation Planning

Project

Conclusion

Wrap Up and Next Steps

Appendix

1 Lesson

Course Author

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Souvik Kundu

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Anthony Walker

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Emma Bostian 🐞

@EmmaBostian

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