SC5.5 | Introduction to Geospatial Raster and Vector Data with Python
Introduction to Geospatial Raster and Vector Data with Python
Co-organized by ESSI3/GM12/NH12
Convener: Francesco Nattino | Co-conveners: Ou Ku, Fakhereh AlidoostECSECS, Pranav Chandramouli, Robin Richardson
Tue, 25 Apr, 16:15–18:00 (CEST)
 
Room -2.61/62
Tue, 16:15
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 short introductory course, we will help participants with a working knowledge of Python to familiarize themselves 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. The tutorial will be based on the lesson “Introduction to Geospatial Raster and Vector data with Python” [1], which is part of the Incubator program [2] of The Carpentries [3].

[1] https://carpentries-incubator.github.io/geospatial-python
[2] https://carpentries-incubator.org/
[3] https://carpentries.org