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008 210809s2022 sz | s |||| 0|eng d
020 _a9783030801939
024 7 _a10.1007/978-3-030-80193-9
_2doi
040 _aTR-AnTOB
_beng
_erda
_cTR-AnTOB
041 _aeng
050 4 _aQE33.2.S82
072 7 _aTTU
_2bicssc
072 7 _aSCI042000
_2bisacsh
072 7 _aTTU
_2thema
090 _aQE33.2.S82EBK
100 1 _aArcari Bassani, Marcel Antonio.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aGeostatistics with Data of Different Support Applied to Mining Engineering
_h[electronic resource] /
_cby Marcel Antonio Arcari Bassani, João Felipe Coimbra Leite Costa.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTopics in Mining, Metallurgy and Materials Engineering,
_x2364-3307
505 0 _aChapter 1 - Introduction -- Chapter 2 - Kriging with data of different support -- Chapter 3 - Simulation with data of different support -- Chapter 4 - Change of support in the variogram -- Chapter 5 - Case study of kriging with data of different support -- Chapter 6 - Case study of direct sequential simulation with data of different support -- Chapter 8 - Case study of sequential indicator simulation with data of different support -- Chapter 9 - Conclusions.
520 _aThis book explains the integration of data of different support in Geostatistics. There is a common misconception in the mining industry that the data used for estimation/simulation should have the same size or support. However, Geostatistics provides the tools to integrate several types of information that may have different support. This book aims to explain these geostatistical tools and provides several examples of applications. The book is directed for a broad audience, including engineers, geologists, and students in the area of Geostatistics.
650 0 _aMining engineering.
650 0 _aEngineering geology.
650 1 4 _aMining and Exploration.
650 2 4 _aGeoengineering.
653 0 _aGeology -- Statistical methods
653 0 _aMining engineering -- Statistical methods
700 1 _aCoimbra Leite Costa, João Felipe.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
830 0 _aTopics in Mining, Metallurgy and Materials Engineering,
_x2364-3307
856 4 0 _uhttps://doi.org/10.1007/978-3-030-80193-9
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK