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Using GeoPandas for Geospatial Analysis in Python

Name: Using GeoPandas for Geospatial Analysis in Python
Price: 59 USD
Author: Mauricio Cordeiro

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

46 lessons

2 projects

Created by Mauricio Cordeiro

Using GeoPandas for Geospatial Analysis in Python

What's included

46 lessons across 6 modules
1 quizzes with instant feedback
2 projects in preconfigured environments
AI Tutor on every lesson

Join 3.1 million developers at

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

Learning Roadmap

46 Lessons1 Project1 Quiz

Introduction to Geospatial Data and Geopandas

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

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 Data Visualization

6 Lessons

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

Transportation Planning

Project

Conclusion

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

Wrap Up and Next Steps

Appendix

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

Premium

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

About this course

WHY I WROTE THIS COURSE

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 visualizations with static and interactive maps. The course concludes with a hands-on project combining various concepts and skills. After completing this course, you can manipulate geospatial data, create insightful visualizations, and undertake complex geoprocessing tasks. These skills can open new doors and opportunities in the dynamic realm of GIS, empowering you in your career or academic pursuits.

ABOUT THE AUTHOR

Mauricio Cordeiro

Geospatial data scientist and scientific programmer, specialized in geosciences and remote sensing for the environment. I enjoy applying applying ML and DL to answer Earth-related scientific questions.

Learn more about Mauricio

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