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02026aam a2200421 i 4500 001 1A2CEC2C078011EFB67CD9492AECA4DB 003 SILO 005 20240501010023 008 230317t20242024enkabf b 001 0 eng 010 $a 2023000678 020 $a 1009201409 020 $a 9781009201407 020 $a 1009201417 020 $a 9781009201414 035 $a (OCoLC)1378936617 040 $a DLC $b eng $e rda $c DLC $d OCLCF $d YDX $d OCLCO $d CDN $d UKRIN $d GUA $d DEEMS $d SILO 042 $a pcc 050 00 $a QE33.2.S82 $b W36 2024 080 $a 681.3(55) 082 00 $a 550.285 $2 23/eng20230512 100 1 $a Wang, Lijing, $d 1995- $e author. 245 10 $a Data science for the geosciences / $c Lijing Wang, Zhen Yin, Jef Caers. 264 1 $a Cambridge, United Kingdom ; $b Cambridge University Press, $c 2024. 300 $a xiii, 244 pages, 8 unnumbered pages of plates : $b illustrations (some color), maps (some color) ; $c 26 cm 504 $a Includes bibliographical references and index. 520 $a "An accessible text that provides students and instructors with the data science foundations to address earth science questions using real-world case studies. Focusing on intuitive reasoning, students are encouraged to develop their understanding through exercises utilizing Python notebooks and real datasets"-- $c Provided by publisher. 505 0 $a Table of contents:E︣︣xtreme value statistics; Multivariate analysis; Spatial data aggregation; Geostatistics; Review of mathematical and statistical concepts. 650 0 $a Earth sciences $x Statistical methods. 650 0 $a Earth sciences $x Data processing. 650 6 $a Sciences de la terre $x MeÌthodes statistiques. 650 7 $a Earth sciences $x Data processing $2 fast 650 7 $a Earth sciences $x Statistical methods $2 fast 700 1 $a Yin, Zhen, $d 1989- $e author. 700 1 $a Caers, Jef, $e author. 941 $a 1 952 $l UNUX074 $d 20240501010122.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=1A2CEC2C078011EFB67CD9492AECA4DB 994 $a Z0 $b NIUInitiate Another SILO Locator Search