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Modern geochemical datasets represent a multi-dimensional geochemical space that can be studied using multivariate statistical methods from which patterns reflecting geochemical\/geological processes are described (process discovery). These patterns form the basis from which probabilistic predictive maps are created (process validation). Processing geochemical survey data requires a systematic approach to effectively interpret the multi-dimensional data in a meaningful way. Problems that are typically associated with geochemical data include closure, missing values, censoring, merging, levelling different datasets and adequate spatial sample design. Recent developments in advanced multivariate analytics, geospatial analysis and mapping provide an effective framework to analyse and interpret geochemical datasets. Geochemical and geological processes can often be recognized through the use of data discovery procedures such as the application of principal component analysis. Classification and predictive procedures can be used to confirm lithological variability, alteration and mineralization. Geochemical survey data of lake\/till sediments from Canada and of floodplain sediments from Australia show that predictive maps of bedrock and regolith processes can be generated. Upscaling a multivariate statistics-based prospectivity analysis for arc-related Cu\u2013Au mineralization from a regional survey in the southern Thomson Orogen in Australia to the continental scale, reveals a number of regions with a similar (or stronger) multivariate response and hence potentially similar (or higher) mineral potential throughout Australia.<\/jats:p>\n          <jats:p content-type=\"thematic-collection\">\n            <jats:bold>Thematic collection:<\/jats:bold>\n            This article is part of the Exploration 17 collection available at:\n            <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/www.lyellcollection.org\/cc\/exploration-17\">https:\/\/www.lyellcollection.org\/cc\/exploration-17<\/jats:ext-link>\n          <\/jats:p>","DOI":"10.1144\/geochem2019-031","type":"journal-article","created":{"date-parts":[[2019,6,14]],"date-time":"2019-06-14T20:05:17Z","timestamp":1560542717000},"page":"217-232","update-policy":"https:\/\/doi.org\/10.1144\/crossmark-policy","source":"Crossref","is-referenced-by-count":123,"title":["State-of-the-art analysis of geochemical data for mineral exploration"],"prefix":"10.1144","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4521-163X","authenticated-orcid":false,"given":"E. 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