R Applications in Earth Sciences

From Soil Data to Climate Time Series Analysis and Modeling

Inbunden, Engelska, 2025

Av Łukasz Pawlik, Lukasz Pawlik, ¿Ukasz Pawlik

1 799 kr

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The book provides insights to the various approaches to Earth-related data analysis, starting from data preparation and validation, exploratory data analysis, linear regression, and going through time series decomposition, modeling, and prediction.

Produktinformation

Utgivningsdatum2025-07-01
Mått210 x 279 x 16 mm
Vikt725 g
FormatInbunden
SpråkEngelska
SerieSpringer Textbooks in Earth Sciences, Geography and Environment
Antal sidor174
FörlagSpringer International Publishing AG
ISBN9783031896729

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Łukasz 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.