| 000 | 01096nam a2200193 4500 | ||
|---|---|---|---|
| 005 | 20251009165534.0 | ||
| 008 | 251009b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781108842570 | ||
| 037 | _cTextual | ||
| 040 |
_aRTL _cRTL |
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| 084 | _qRTL | ||
| 100 |
_aShen, Samuel S. P. _9847924 |
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| 245 | _aStatistics and data visualization in climate science with R and python | ||
| 260 |
_aNew York _bCambridge University press _c2023 |
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| 300 |
_axxii, 390 p. _bIncludes bibliographical reference and index |
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| 520 | _aA comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and computing tools for the climate and related sciences. This book is an invaluable reference for students and researchers in climatology and its connected fields who wish to learn data science, statistics, R and Python programming. The examples and exercises in the book empower readers to work on real climate data from station observations, remote sensing and simulated results. | ||
| 700 |
_aNorth, gerald R. _eCo-author _9847925 |
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| 942 |
_2CC _n0 _cTEXL |
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| 999 |
_c1464660 _d1464660 |
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