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General Information

The eScience Center offers a range of free workshops and training courses, open to all researchers affiliated with Dutch research organizations. We organize workshops covering digital skills needed to put reproducible research into practice. These include online collaboration, reproducible code and good programming practices. We also offer more advanced workshops such as GPU Programming, Parallel Programming and Deep Learning.

Python is one of the most popular programming languages for data science and analytics, with a large and steadily growing community in the field of Earth and Space Sciences. In this workshop, we will help participants with a working knowledge of Python to familiarize with the world of geospatial raster and vector data. We will introduce a set of tools from the Python ecosystem and show how these can be used to carry out practical geospatial data analysis tasks. In particular, we will consider satellite images and public geo-datasets and demonstrate how these can be opened, explored, manipulated, combined, and visualized using Python.

Where: Online. Get directions with OpenStreetMap or Google Maps.

When: May 13 - 16, 2024, CET, 9:00 - 13:00 CEST.

Requirements: Participants join online with own device with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Workshop files: You will find all slides, notebooks, archived collaborative documents, and other relevant files in the files folder of the workshop website repository after the workshop.

Contact: Please email or training@esciencecenter.nl for more information.

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Code of Conduct

Participants are expected to follow these guidelines:

• Use welcoming and inclusive language
• Be respectful of different viewpoints and experiences
• Gracefully accept constructive criticism
• Focus on what is best for the community
• Show courtesy and respect towards other community members

Syllabus

• Basics of raster and vector data models
• Introduction to Coordinate Reference System (CRS)
• Access satellite imagery using Python
• Read and visualize and process raster/vector data
• Data analysis with the combination of raster and vector data
• Parallel computation for geospatial data

Schedule

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Setup

To participate in this workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.

Software setup

To be able to follow this workshop, a few setup steps are required. Please follow the setup instructions in preparation for the workshop. Please note that we will be using a different dataset for this workshop which can be downloaded here.

This instruction will help you to:

• install the required software packages to this workshop

Please make sure you have followed this instruction to setup in advance (note that we will be using different data for our workshop, therefore it is not needed to download it).