R Applications in Earth Sciences From Soil Data to Climate Time Series Analysis and Modeling /
This textbook helps to understand the real Earth data with the practical application of many handy R tools and techniques. R language and thousands of R packages can be used to solve the most sophisticated scientific problems. The book provides insights to the various approaches to Earth-related dat...
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| Format: | Électronique eBook |
| Langue: | anglais |
| Publié: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Édition: | 1st ed. 2025. |
| Collection: | Springer Textbooks in Earth Sciences, Geography and Environment,
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| Accès en ligne: | https://doi.org/10.1007/978-3-031-89673-6 |
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| 100 | 1 | |a Pawlik, Łukasz. |e author. |0 (orcid)0000-0001-9271-3507 |1 https://orcid.org/0000-0001-9271-3507 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a R Applications in Earth Sciences |h [electronic resource] : |b From Soil Data to Climate Time Series Analysis and Modeling / |c by Łukasz Pawlik. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
| 300 | |a 1 online resource (XIV, 174 p. 122 illus.). |b 91 illus. in color. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
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| 341 | 0 | |b Table of contents navigation |2 onix | |
| 341 | 0 | |b Single logical reading order |2 onix | |
| 341 | 0 | |b Short alternative textual descriptions |2 onix | |
| 341 | 0 | |b Use of color is not sole means of conveying information |2 onix | |
| 341 | 0 | |b Use of high contrast between text and background color |2 onix | |
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| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Springer Textbooks in Earth Sciences, Geography and Environment, |x 2510-1315 | |
| 505 | 0 | |a 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. | |
| 520 | |a This textbook helps to understand the real Earth data with the practical application of many handy R tools and techniques. R language and thousands of R packages can be used to solve the most sophisticated scientific problems. 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. In addition, the book introduces machine learning techniques and their application to some real problems. Along with a profound explanation of the datasets and theoretical considerations of the methods, the book offers a way of solving practical problems lying at the frontline of modern data analysis in physical geography, soils, and climate science. | ||
| 532 | 8 | |a Accessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Earth sciences. | |
| 650 | 0 | |a Physical geography. | |
| 650 | 0 | |a Geomorphology. | |
| 650 | 0 | |a Geographic information systems. | |
| 650 | 0 | |a Soil science. | |
| 650 | 0 | |a Climatology. | |
| 650 | 1 | 4 | |a Earth Sciences. |
| 650 | 2 | 4 | |a Physical Geography. |
| 650 | 2 | 4 | |a Geomorphology. |
| 650 | 2 | 4 | |a Geographical Information System. |
| 650 | 2 | 4 | |a Soil Science. |
| 650 | 2 | 4 | |a Climate Sciences. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031896729 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031896743 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031896750 |
| 830 | 0 | |a Springer Textbooks in Earth Sciences, Geography and Environment, |x 2510-1315 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-89673-6 |
| 912 | |a ZDB-2-EES | ||
| 912 | |a ZDB-2-SXEE | ||
| 912 | |a ZDB-2-229 | ||
| 950 | |a Earth and Environmental Science (SpringerNature-11646) | ||
| 950 | |a Earth and Environmental Science (R0) (SpringerNature-43711) | ||
| 950 | |a Focus Bundle Earth Sciences and Geography (SpringerNature-85399) | ||