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Dario Grana, Tapan Mukerji, and Philippe Doyen: Seismic Reservoir Modeling: Theory, Examples, and Algorithms: Wiley-Blackwell, April 2021, 272 p., ISBN: 978-1-119-08618-5

Mathematical Geosciences, 2021, Vol.53 (7), p.1697-1698

Connolly, Patrick Alexander

2021

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Dionissios T. Hristopulos: Random Fields for Spatial Data Modeling. A Primer for Scientists and Engineers: Springer Nature B.V. 2020, Springer, Dordrecht, ISBN: 978-94-024-1916-0

Mathematical Geosciences, 2021, Vol.53 (6), p.1409-1412

De Iaco, Sandra

2021

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B.S. Daya Sagar, Qiuming Cheng and Frits Agterberg: Handbook of Mathematical Geosciences: Fifty Years of IAMG: Springer International Publishing AG, 2018, XXVIII-911 pp, ISBN: 978-3-319-78998-9, https://doi.org/10.1007/978-3-319-78999-6

Mathematical Geosciences, 2020, Vol.52 (5), p.725-729

2020

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Michael Greenacre: Compositional Data Analysis in Practice: CRC Press, 2019, (paperback), ISBN: 978-1-138-31643-0

Mathematical Geosciences, 2019, Vol.51 (6), p.837-839

Tolosana-Delgado, Raimon

2019

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Pinliang Dong and Qi Chen: LiDAR Remote Sensing and Applications: CRC Press, 2018, ISBN 9781138747241

Mathematical Geosciences, 2019, Vol.51 (5), p.691-692

Lato, Matthew

2019

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Richard J. Howarth: Dictionary of Mathematical Geosciences: With Historical Notes: Springer, 2017, XVI-893 pp, ISBN 978-3-319-57314-4, DOI 10.1007/978-3-319-57315-1

Mathematical Geosciences, 2019, Vol.51 (1), p.127-128

Ortiz, Julián M.

2019

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Geostatistical Methods for Reservoir Geophysics by Azevedo, L. and Soares, A: Springer International Publishing AG, 2017

Mathematical Geosciences, 2018, Vol.50 (7), p.861-863

Hohn, Michael Ed

2018

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A Review of “Computer Age Statistical Inference” by Bradley Efron and Trevor Hastie

Mathematical Geosciences, 2018, Vol.50 (3), p.365-367

Haran, Murali

2018

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A. Baddeley, E. Rubak, R. Turner: Spatial Point Patterns: Methodology and Applications with R: Boca Raton, CRC Press, 2016

Mathematical Geosciences, 2017, Vol.49 (6), p.815-817

Gabriel, Edith

2017

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Book review: High-resolution seafloor survey and applications, Eds. Wu, Ziyin, Yang, Fanlin, and Tang, Yong, 2021. Springer Nature and Science Press. https://doi.org/10.1007/978-981-15-9750-3

Anthropocene Coasts, 2022, Vol.5 (1), Article 14

2022

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Book reviews: Volcanology. Processes, Deposits, Geology and Resources, by Ray Cas, Guido Giordano, John V. Wright, 2024. Springer Textbooks in Earth Sciences, Geography and Environment (STEGE); 1833 pages. Hardcover: price € 160.49, eBook: price € 117.69, ISBN: 978-3-319-66612-9

Geologos, 2024, Vol.30 (2), p.169-170

Scarpati, Claudio

2024

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Sarada Prasad Pradhan, Vikram Vishal, and Trilok Nath Singh (eds): Landslides: Theory, Practice and Modelling

Arabian Journal of Geosciences, 2020, Vol.13 (20), Article 1102

2020

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M. R. Smith and L. Collis (eds): Aggregates: sand, gravel, and crushed rock aggregates for construction purposes (3rd edition)

Arabian Journal of Geosciences, 2020, Vol.13 (1), Article 11

Karakaş, Ahmet

2020

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Coryn A. L. Bailer-Jones: Practical Bayesian Inference: A Primer for Physical Scientists

Mathematical Geosciences, 2018, Vol.50 (6), p.725-727

Grana, Dario

2018

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Value of Information in the Earth Sciences by Jo Eidsvik, Tapan Mukerji and Debarun Bhattacharjya

Mathematical Geosciences, 2016, Vol.48 (8), p.1013-1014

Kelkar, Mohan

2016

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Humanities perspectives on the Anthropocene

Nature geoscience, 2020, Vol.13 (6), p.394-395

Markley, Michelle

2020

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D. W. Vasaco and A. Datta-Gupta: Subsurface Fluid Flow and Imaging—With Applications for Hydrology, Reservoir Engineering and Geophysics

Mathematical Geosciences, 2017, Vol.49 (7), p.943-944

Dassargues, A.

2017

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Review of Hierarchical Modeling and Analysis for Spatial Data by Banerjee, S., Carlin, B. P., and Gelfand, A. E: 2nd Edition, 2015, CRC Press

Mathematical Geosciences, 2017, Vol.49 (5), p.677-678

Soubeyrand, Samuel

2017

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Neil H. Spencer: Essentials of Multivariate Data Analysis: Taylor and Francis Group, CRC Press, Boca Raton, FL, 2013, 186., $59.95 (paperback), ISBN: 978-1-4665-8478-5

Mathematical Geosciences, 2015, Vol.47 (1), p.119-121

2015

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2D and 3D Roughness Characterization

Rock Mechanics and Rock Engineering, 2020, Vol.53 (3), p.1495-1519

2020

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J.-P. Chilès, P. Delfiner: Geostatistics: Modeling Spatial Uncertainty: 2nd Edition. Wiley, 2012

Mathematical Geosciences, 2013, Vol.45 (3), p.377-380

Allard, Denis

2013

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Noel Cressie, Chris Wikle: Statistics for Spatio-Temporal Data: Wiley, April 2011. ISBN 978-0-471-69274-4. 624 pages

Mathematical Geosciences, 2013, Vol.45 (2), p.253-254

Sansó, Bruno

2013

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Jef Caers: Modeling Uncertainty in the Earth Sciences: Wiley-Blackwell, Hoboken, New Jersey, 2011, 229 pages, ISBN 978-1-119-99263-9

Mathematical Geosciences, 2013, Vol.45 (1), p.127-130

Ortiz, Julián M.

2013

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Andrew Fowler: Mathematical Geoscience: Springer, 2011. ISBN 978-0-85729-699-3

Mathematical Geosciences, 2012, Vol.44 (6), p.779-781

Mareschal, Jean-Claude

2012

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A. Ismail-Zadeh and P. Tackley: Computational Methods for Geodynamics: Cambridge University Press, New York, 2010. 322 pp. ISBN 9780521867672

Mathematical Geosciences, 2012, Vol.44 (5), p.645-647

Moucha, Robert

2012

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Dario Grana, Tapan Mukerji, and Philippe Doyen: Seismic Reservoir Modeling: Theory, Examples, and Algorithms: Wiley-Blackwell, April 2021, 272 p., ISBN: 978-1-119-08618-5

Dionissios T. Hristopulos: Random Fields for Spatial Data Modeling. A Primer for Scientists and Engineers: Springer Nature B.V. 2020, Springer, Dordrecht, ISBN: 978-94-024-1916-0

B.S. Daya Sagar, Qiuming Cheng and Frits Agterberg: Handbook of Mathematical Geosciences: Fifty Years of IAMG: Springer International Publishing AG, 2018, XXVIII-911 pp, ISBN: 978-3-319-78998-9, https://doi.org/10.1007/978-3-319-78999-6

Michael Greenacre: Compositional Data Analysis in Practice: CRC Press, 2019, (paperback), ISBN: 978-1-138-31643-0

Pinliang Dong and Qi Chen: LiDAR Remote Sensing and Applications: CRC Press, 2018, ISBN 9781138747241

Richard J. Howarth: Dictionary of Mathematical Geosciences: With Historical Notes: Springer, 2017, XVI-893 pp, ISBN 978-3-319-57314-4, DOI 10.1007/978-3-319-57315-1

Geostatistical Methods for Reservoir Geophysics by Azevedo, L. and Soares, A: Springer International Publishing AG, 2017

A Review of “Computer Age Statistical Inference” by Bradley Efron and Trevor Hastie

A. Baddeley, E. Rubak, R. Turner: Spatial Point Patterns: Methodology and Applications with R: Boca Raton, CRC Press, 2016

Book review: High-resolution seafloor survey and applications, Eds. Wu, Ziyin, Yang, Fanlin, and Tang, Yong, 2021. Springer Nature and Science Press. https://doi.org/10.1007/978-981-15-9750-3

Book reviews: Volcanology. Processes, Deposits, Geology and Resources, by Ray Cas, Guido Giordano, John V. Wright, 2024. Springer Textbooks in Earth Sciences, Geography and Environment (STEGE); 1833 pages. Hardcover: price € 160.49, eBook: price € 117.69, ISBN: 978-3-319-66612-9

Sarada Prasad Pradhan, Vikram Vishal, and Trilok Nath Singh (eds): Landslides: Theory, Practice and Modelling

M. R. Smith and L. Collis (eds): Aggregates: sand, gravel, and crushed rock aggregates for construction purposes (3rd edition)

Coryn A. L. Bailer-Jones: Practical Bayesian Inference: A Primer for Physical Scientists

Value of Information in the Earth Sciences by Jo Eidsvik, Tapan Mukerji and Debarun Bhattacharjya

Humanities perspectives on the Anthropocene

D. W. Vasaco and A. Datta-Gupta: Subsurface Fluid Flow and Imaging—With Applications for Hydrology, Reservoir Engineering and Geophysics

Review of Hierarchical Modeling and Analysis for Spatial Data by Banerjee, S., Carlin, B. P., and Gelfand, A. E: 2nd Edition, 2015, CRC Press

Neil H. Spencer: Essentials of Multivariate Data Analysis: Taylor and Francis Group, CRC Press, Boca Raton, FL, 2013, 186., $59.95 (paperback), ISBN: 978-1-4665-8478-5

2D and 3D Roughness Characterization

J.-P. Chilès, P. Delfiner: Geostatistics: Modeling Spatial Uncertainty: 2nd Edition. Wiley, 2012

Noel Cressie, Chris Wikle: Statistics for Spatio-Temporal Data: Wiley, April 2011. ISBN 978-0-471-69274-4. 624 pages

Jef Caers: Modeling Uncertainty in the Earth Sciences: Wiley-Blackwell, Hoboken, New Jersey, 2011, 229 pages, ISBN 978-1-119-99263-9

Andrew Fowler: Mathematical Geoscience: Springer, 2011. ISBN 978-0-85729-699-3

A. Ismail-Zadeh and P. Tackley: Computational Methods for Geodynamics: Cambridge University Press, New York, 2010. 322 pp. ISBN 9780521867672

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