Description

In this webinar I will talk you through the best practices to make statistically sound decisions in the field of spatial data science. I will cover the basic of the theory underlying the analysis of spatial data and I will present some of the most common methods and the associated software tools used in this domain, with a focus on the upsurge of big spatial data, for example from GPS sources.

Instructor's Bio

Giulia Carella, Data Scientist at CARTO

I am a Data Scientist at CARTO. I hold a PhD in Statistical climatology from the University of Southampton (UK) and previously I worked as a researcher at the Le Laboratoire des Sciences du Climat et de l’Environnement (France).

Course curriculum

  • 01

    Going spatial: statistical learning for spatial data

    • Going spatial: statistical learning for spatial data