TY  - GEN
AB  - This open access book provides state-of-the-art theory and application in geostatistics. Geostatistics Toronto 2021 includes 28 short abstracts, 18 extended abstracts, and 7 full articles in the fields of geostatistical theory, multi-point statistics, earth sciences, mining, optimal drilling, domains, seismic, classification uncertainty risk, and artificial intelligence and machine learning. All contributions were presented at the 11th International Geostatistics Congress held in virtually at Toronto, Canada, from July 12-16, 2021. This book is valuable to researchers, scientists, and practitioners in geology, mining, petroleum, geometallurgy, mathematics, and statistics.
AU  - Avalos Sotomayor, Sebastian Alejandro,
AU  - Ortiz, Julian M.
AU  - Srivastava, R. Mohan,
CN  - QE33.2.S82
DO  - 10.1007/978-3-031-19845-8
DO  - doi
ID  - 1452723
KW  - Geology
LK  - https://link.springer.com/10.1007/978-3-031-19845-8
N1  - Includes author index.
N2  - This open access book provides state-of-the-art theory and application in geostatistics. Geostatistics Toronto 2021 includes 28 short abstracts, 18 extended abstracts, and 7 full articles in the fields of geostatistical theory, multi-point statistics, earth sciences, mining, optimal drilling, domains, seismic, classification uncertainty risk, and artificial intelligence and machine learning. All contributions were presented at the 11th International Geostatistics Congress held in virtually at Toronto, Canada, from July 12-16, 2021. This book is valuable to researchers, scientists, and practitioners in geology, mining, petroleum, geometallurgy, mathematics, and statistics.
SN  - 9783031198458
SN  - 303119845X
T1  - Geostatistics Toronto 2021 :quantitative geology and geostatistics /
TI  - Geostatistics Toronto 2021 :quantitative geology and geostatistics /
UR  - https://link.springer.com/10.1007/978-3-031-19845-8
ER  -