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Using GeoPandas for Geospatial Analysis in Python
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Gain insights into GIS with GeoPandas, learn to manipulate geospatial data, delve into advanced geoprocessing, and create interactive maps, culminating in a comprehensive project.

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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

Geospatial analysis plays a crucial role in various applications, from urban planning and environmental monitoring to transporta...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

An understanding of the basic concepts behind geospatial data

Content

46 Lessons1 Project1 Quiz

Introduction to Geospatial Data and Geopandas

8 Lessons

Get familiar with geospatial data types, GeoPandas, projections, and Python libraries.

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

12 Lessons

Get started with importing, exporting, visualizing, and manipulating geospatial data using GeoPandas.

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

18 Lessons

Work your way through geoprocessing techniques in GeoPandas for enhanced spatial data analysis.

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

Sampling Points from Raster Data

Exercise: Proximity and Sampling

Solution: Proximity and Sampling

Spatial Data Visualization

6 Lessons

Break down the steps to visualize spatial data with GeoPandas and other tools.

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

1 Lessons

Take a closer look at advancing GIS skills with practical GeoPandas applications and projects.

Wrap Up and Next Steps

Appendix

1 Lessons

Follow the process of converting GeoJSON to SVG for web-based geospatial visualization.

Plot GeoJSON Function

Exploring Geospatial Data Using GeoPandas, Geoplot and Contextily

Project

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Mauricio Cordeiro

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