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Found 93 from your keywords: subject="Earth Science"
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cover
Agroecological Transitions : From Theory to Practice in Local Participatory D…
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BERGEZ, Jacques-EricAUDOUIN, EliseTHEROND, Olivier

This Open Access book presents feedback from the ‘Territorial Agroecological Transition in Action’- TATA-BOX research project, which was devoted to these specific issues. The multidisciplinary and multi-organisation research team steered a four-year action-research process in two territories of France. It also presents: i) the key dimensions to be considered when dealing with agroecological…

Edition
-
ISBN/ISSN
978-3-030-01953-2
Collation
XVI, 335 halaman
Series Title
-
Call Number
630 AGR
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cover
Earthquakes, Tsunamis and Nuclear Risks : Prediction and Assessment Beyond th…
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Kamae, Katsuhiro

This book covers seismic probabilistic risk assessment (S-PRA) and related studies which have become more important to increase the safety of nuclear facilities against earthquakes and tsunamis in the face of the many uncertainties after the Fukushima accident. The topics are (1) Active faults and active tectonics important for seismic hazard assessment of nuclear facilities,(2) Seismic source …

Edition
-
ISBN/ISSN
9784431558224
Collation
-
Series Title
-
Call Number
550 EAR
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cover
Earth Observation Open Science and Innovation
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Mathieu, Pierre-PhilippeAubrecht, Christoph

Over the past decades, rapid developments in digital and sensing technologies, such as the Cloud, Web and Internet of Things, have dramatically changed the way we live and work. The digital transformation is revolutionizing our ability to monitor our planet and transforming the way we access, process and exploit Earth Observation data from satellites. This book reviews these megatrends and t…

Edition
-
ISBN/ISSN
978-3-319-65633-5
Collation
IX, 330 halaman
Series Title
ISSI Scientific Report Series
Call Number
550 EAR
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cover
Uncertainty The Soul of Modeling, Probability & Statistics
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BRIGGS, William

This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book…

Edition
-
ISBN/ISSN
978-3-319-39756-6
Collation
23 b/w illustrations
Series Title
-
Call Number
-
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cover
Earth surface processes and environmental changes in East Asia : records from…
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Kenji Kashiwaya

This book examines relationships between climate-hydrological changes and other phenomena including land use and natural disasters during the Holocene and recent past. In particular, periods of rapid climatic shifts such as global warming and global cooling are examined through paleohydrological and other studies of various lake-catchment systems in East Asia, from Mongolia in the north to Taiw…

Edition
-
ISBN/ISSN
9784431555407
Collation
xi, 321 pages
Series Title
-
Call Number
550
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cover
Excel 2016 for Environmental Sciences Statistics
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QUIRK, Thomas J.QUIRK, Meghan H.HORTON, Howard F.

This book shows the capabilities of Microsoft Excel in teaching environmental science statistics effectively. Similar to the previously published Excel 2013 for Environmental Sciences Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t the read…

Edition
-
ISBN/ISSN
978-3-319-40057-0
Collation
3 b/w illustrations, 162 illustrations in colour
Series Title
-
Call Number
-
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cover
Excel 2016 for Engineering Statistics
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QUIRK, Thomas J.

This book shows the capabilities of Microsoft Excel in teaching engineering statistics effectively. Similar to the previously published Excel 2013 for Engineering Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. If understanding statistics isn’t your strongest suit, you are not especi…

Edition
-
ISBN/ISSN
978-3-319-39182-3
Collation
1 b/w illustrations, 161 illustrations in colour
Series Title
-
Call Number
-
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cover
Learning with Partially Labeled and Interdependent Data
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Massih-Reza AminiNicolas Usunier

This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the classical machine learning framework through learning with interdependent data. The book traces how the semi-supervised paradigm and the learning to rank paradigm emerged from new web applications, …

Edition
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ISBN/ISSN
978-3-319-15726-9
Collation
-
Series Title
-
Call Number
-
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cover
The 1st International Workshop on the Quality of Geodetic Observation and Mon…
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Hansjörg KuttererFlorian SeitzHamza Alkhatib

These proceedings contain 25 papers, which are the peer-reviewed versions of presentations made at the 1st International Workshop on the Quality of Geodetic Observation and Monitoring (QuGOMS’11), held 13 April to 15 April 2011 in Garching, Germany. The papers were drawn from five sessions which reflected the following topic areas: (1) Uncertainty Modeling of Geodetic Data, (2) Theoretical St…

Edition
-
ISBN/ISSN
978-3-319-10828-5
Collation
VIII, 183
Series Title
International Association of Geodesy Symposia
Call Number
-
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cover
Excel 2013 for Environmental Sciences Statistics A Guide to Solving Practica…
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QUIRK, Thomas J.HORTON, Howard F.QUIRK, Meghan

This is the first book to show the capabilities of Microsoft Excel to teach environmentall sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wa…

Edition
-
ISBN/ISSN
978-3-319-23977-4
Collation
163 b/w illustrations, 2 illustrations in colour
Series Title
-
Call Number
-
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