Jakub Nowosad

Spatial pattern is an inherent property visible in many spatial variables. Spatial patterns are often at the heart of many geographical studies, where we search for existing hot spots, correlations, and outliers.

Spatial pattern is an inherent property visible in many spatial variables. Spatial patterns are often at the heart of many geographical studies, where we search for existing hot spots, correlations, and outliers.

In 2016 two early-career researchers met and discussed the lack of open-access materials related to spatial data analysis with vector and raster geo data in R. A few months later, they started writing a book together which, from the first commit onwards, was done in the open.

Generalization is one of the fundamentals of scientific research. In the context of spatial information, generalization needs to allow for finding common properties but also for spatial contiguity.

R is an open-source language and a major player in the field of data science. The R spatial ecosystem is very rich and provides tried and tested tools for working with spatial vector or raster data. This workshop will introduce R and its package for handling spatial data.