Python recipes for earth sciences
Author(s)
Bibliographic Information
Python recipes for earth sciences
（Springer textbooks in earth sciences, geography and environment）
Springer, 2022
Available at / 10 libraries
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Hokkaido University, Library, Graduate School of Science, Faculty of Science and School of Science図書
550.285/T6962080485555
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Note
Includes bibliographical references
Description and Table of Contents
Description
Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book.
Table of Contents
Data Analysis in the Earth Sciences.- Introduction to Python.- Univariate Statistics.- Bivariate Statistics.- Time Series Analysis.- Signal Processing.- Spatial Data.- Image Processing.- Multivariate Statistics.- Directional Data.
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