¿ukasz Pawlik is a geographer, geomorphologist, and data scientist. His research encompasses abroad range of topics, from analyses of spatial and soil data, climate time series, geochemistry of fossil deposits, and radiocarbon dating. A majority of his projects and teaching activities at the university are heavily built on and supported by multiple R functionalities, including existing packages, custom functions, and R Markdown documents.

Chapter 1: Introduction.- Chapter 2: R for data science – Functionality and basic concepts.- Chapter 3: Soil data structure, properties, and visualization.- Chapter 4: Geochemistry of fossil deposits and climate reconstructions based on proxy data.- Chapter 5: Climate time series.- Chapter 6: Geomorphic data and geomorphometry analyses.- Chapter 7: Dating the past with the radiocarbon method.- Chapter 8: Global tectonics and earthquake dynamics – From data to visualization.- Chapter 9: Land and forest cover change mapping.- Chapter 10: Extreme climate event modeling and prediction with machine learning methods.- Chapter 11: Knowledge in the cloud – LiDAR point cloud data.- Chapter 12: Dynamic visualization and animation.- Chapter 13: Final comments, conclusions, and data science perspective.