Geospatial Python Tutorials

Welcome to Spatial Analysis and Remote Sensing Tutorials by Spatial Thoughts. These tutorials complement our Python courses and are suitable for learners who want to advance their skills.

We highly recommend completing the following courses before diving into these tutorials. All our courses are open-access and freely available for self-study.

• Python Foundation for Spatial Analysis ↗

• Mapping and Data Visualization with Python ↗

Before you begin

Each tutorial is in the form of a self-contained notebook and comes with step-by-step explanation and datasets. Many tutorials also have an accompanying video walkthrough as well. The preferred way to run each notebook is using Google Colab. Click the icon located at the top of each tutorial to open it on Colab.

If you are new to Colab, see our Hello Colab ↗ video.

Tutorials

GeoPandas

• Bulk Geocoding Addresses
• Performing Spatial Queries
• Extract a Shapefile Subset
• Performing Fuzzy Table Joins

XArray

• Basic Raster Styling and Analysis
• Raster Mosaicing and Clipping
• Sampling Raster Data with XArray
• Zonal Statistics with XArray
• Extracting a Time Series
• Aggregating Time Series
• Transform Longitude Values
• Calculating Climate Anomaly
• Create a Raster from Array

Dask

• Creating Spatial Data
• Creating a Median Composite with Dask

XEE (XArray + Google Earth Engine)

• Exporting an ImageCollection to NetCDF
• Downloading Images with XEE

Segment Geospatial

• Extracting Farm Boundaries using Segment Geospatial
• Detecting Mine Perimeter with Segment Geospatial

Web APIs

• Locating Nearest Facility with Origin-Destination Matrix
• Natural Language Processing using OpenAI API