#47 Spatial Data Science with R: {sf}, {stars}, and other packages

This time we will have Edzer Pebesma, who is the developer/maintainer of many relevant R packages for spatial stuff.

He will introduce the relatively newer stack of R-spatial packages that includes sf, stars, s2, gstat, spdep and spatialreg. He will discuss the general way how we can represent spatial data in R, and point out a number of top mistakes naive data scientists will make when starting to work with spatial data: computing wrong measures from geographic coordinates, assuming the Earth is flat, ignoring the support of areal data, and failing to handle data cubes. He will also go into the challenge of using R to analyse data cubes that are too large to download, such as continental or global satellite data from Sentinel-2, or CMIP-6 climate forecast data. The talk will make frequent reference to the online book on Spatial Data Science, found at https://r-spatial.org/book/

This won't be a lecture. We will have the opportunity to hear first-hand information of the latest developments in the field, and to have an open conversation.

Agenda:
18:30-19:00 Arrival and networking
19:00-19:02 Welcoming remarks
19:02-20:30 Talk + Discussions
20:30 Moving to a nearby pizza place or Biergarden

How to find us:
Humboldt-Universität zu Berlin
Unter den Linden 6, 10117 Berlin
Hauptgebäude, 1. Obergeschoss
Raumbezeichnung: Hörsaal 2097