2023-08-29, 17:00–18:30, Room 21 (Sala 21)
Spatial data processing is an essential part of modern data analysis. In the course of the summer school, you will learn many new tools and techniques to process spatial data. However, you really only know something if you implement it in a concrete situation.
For this reason, we are conducting a hackathon during the summer school. You can choose between two topics and apply all the state of the art skills you are learning during the week.
To help you better understand the question and relevant domain, we will present the topics in an introductory workshop which will help get you started with the task and the submission process.
By participating, you will learn how spatial data analysis can be applied to solve real-world problems. You will gain practical skills in using the tools and techniques to analyse, interpret and model spatial data, and to use this knowledge in your respective field.
I am a PhD student in the field of Earth and environmental sciences at the Adam Mickiewicz University in Poznań. I am interested in spatial data analysis, remote sensing and programming in R, particularly in agriculture, and I was involved in several R&D projects related to crop classification, yield prediction, and soil mapping. I also contributed to the development of R-spatial packages.
I’m a freelance data scientist (see ratnaweera.xyz/) and researcher at the Zurich University of Applied Sciences (ZHAW) . I enjoy using different programming languages to solve complex, real world problems and answer interesting questions. My tools of choice include R, python, gdal, ogr2ogr, PostgresSQL, PostGIS and more.