{"refrec":{"BRefID":363819,"RR":"<b>He, J.; Geng, X.</b> (2022). R-scripts for generation of 5, 8 and 16 random sampling points within predefined rectangles. Special Publication, 3. International Union of Geological Sciences, Commission on Global Geochemical Baselines: Athens. ISBN 978-618-85049-2-9. vi, 14 pp.","BEntID":361539,"PublicFlag":1,"CheckedFlag":0,"wosflag":0,"vabbflag":0,"RefStringPartII":". Special Publication, 3. International Union of Geological Sciences, Commission on Global Geochemical Baselines: Athens. ISBN 978-618-85049-2-9. vi, 14 pp.","DocTypID":5,"DocType":"Book/Monograph","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"He, J.; Geng, X.","OrigTitleTranslFlag":0,"Authorstringtrunc":"He, J.; Geng, X.","Englishabstract":"The Global Geochemical Reference Network consists in total of 19,833 grid cells of 160x160 km that cover the whole globe. The land surface of the Earth is covered by 7356 grid cells (Global Terrestrial Network, GTN), and the marine surface by 12,477 grid cells (Global Marine Network, GMN). Planning the sampling campaigns in both realms requires the generation ofrandom sampling points within each of the 160x160 km grid cell. For this purpose, three R- scripts were written for the generation of 5-, 8- and 16-random sampling points within each 160x160 km grid cell. The three R-scripts can be used to generate random sampling points within any other size rectangular grid cell. This publication provides the instructions for usingthe three R-scripts, the format of the input and output files, and the availability of the executable files, as well as the output files, from the website of the IUGS Commission on Global Geochemical Baselines.","AbstractOtherLang":null,"BibLvlCode":"M","StandardTitle":"R-scripts for generation of 5, 8 and 16 random sampling points within predefined rectangles","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:33:17.368041","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"R-scripts, random sampling points, global terrestrial network, global marine 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