2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology : 18-19 September 2018, Jakarta, Indonesia / / Institute of Electrical and Electronics Engineers |
Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 |
Descrizione fisica | 1 online resource (18 pages) |
Disciplina | 550.285 |
Soggetto topico |
Geology - Data processing
Remote sensing - Data processing Electronics |
ISBN | 1-5386-7777-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996280058203316 |
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 | ||
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Lo trovi qui: Univ. di Salerno | ||
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2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology : 18-19 September 2018, Jakarta, Indonesia / / Institute of Electrical and Electronics Engineers |
Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 |
Descrizione fisica | 1 online resource (18 pages) |
Disciplina | 550.285 |
Soggetto topico |
Geology - Data processing
Remote sensing - Data processing Electronics |
ISBN | 1-5386-7777-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910295816803321 |
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 | ||
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Lo trovi qui: Univ. Federico II | ||
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Application of artificial neural networks in geoinformatics / / Saro Lee, editor |
Pubbl/distr/stampa | Basel : , : MDPI AG - Multidisciplinary Digital Publishing Institute, , [2018] |
Descrizione fisica | 1 online resource (228 pages) : illustrations |
Disciplina | 550.285 |
Soggetto topico |
Geoinformatics
Neural networks (Computer science) |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | About the Special Issue Editor v -- Saro Lee -- Editorial for Special Issue: Application of Artificial Neural Networks in Geoinformatics doi: 10.3390/app8010055 1 -- Sunmin Lee, Moung-Jin Lee and Hyung-Sup Jung Data Mining Approaches for Landslide Susceptibility Mapping in Umyeonsan, Seoul, South Korea doi: 10.3390/app7070683 4 Hyun-Joo Oh and Saro Lee -- Shallow Landslide Susceptibility Modeling Using the Data Mining Models Artificial Neural Network and Boosted Tree doi: 10.3390/app7101000 25 -- Saro Lee, Sunmin Lee, Wonkyong Song and Moung-Jin Lee -- Habitat Potential Mapping of Marten (Martes flavigula) and Leopard Cat (Prionailurus bengalensis) in South Korea Using Artificial Neural Network Machine Learning doi: 10.3390/app7090912 39 -- Syyed Adnan Raheel Shah, Tom Brijs, Naveed Ahmad, Ali Pirdavani, Yongjun Shen and Muhammad Aamir Basheer -- Road Safety Risk Evaluation Using GIS-Based Data Envelopment Analysis-Artificial Neural Networks Approach doi: 10.3390/app7090886 54 -- Mustafa Ridha Mezaal, Biswajeet Pradhan, Maher Ibrahim Sameen, Helmi Zulhaidi Mohd Shafri and Zainuddin Md Yusoff -- Optimized Neural Architecture for Automatic Landslide Detection from High-Resolution Airborne Laser Scanning Data doi: 10.3390/app7070730 73 -- Guandong Chen, Yu Li, Guangmin Sun and Yuanzhi Zhang -- Application of Deep Networks to Oil Spill Detection Using Polarimetric Synthetic Aperture Radar Images doi: 10.3390/app7100968 93 -- Jeong-In Hwang, Sung-Ho Chae, Daeseong Kim and Hyung-Sup Jung -- Application of Artificial Neural Networks to Ship Detection from X-Band Kompsat5 Imagery doi: 10.3390/app7090961 108 -- Alessandro Piscini, Vito Romaniello, Christian Bignami and Salvatore Stramondo A New Damage Assessment Method by Means of Neural Network and Multi-Sensor -- Satellite Data doi: 10.3390/app7080781 122 Books MDPI -- Prima Riza Kadavi, Won-Jin Lee and Chang-Wook Lee Analysis of the Pyroclastic Flow Deposits of Mount Sinabung and Merapi Using Landsat -- Imagery and the Artificial Neural Networks Approach doi: 10.3390/app7090935 132 -- Soo-Kyung Kwon, Hyung-Sup Jung, Won-Kyung Baek and Daeseong Kim -- Classification of Forest Vertical Structure in South Korea from Aerial Orthophoto and Lidar Data Using an Artificial Neural Network doi: 10.3390/app7101046 146 -- Giles M. Foody Impacts of Sample Design for Validation Data on the Accuracy of Feedforward Neural -- Network Classification doi: 10.3390/app7090888-- Young-Ji Byon, Jun Su Ha, Chung-Suk Cho, Tae-Yeon Kim and Chan Yeob Yeun -- Real-Time Transportation Mode Identification Using Artificial Neural Networks Enhanced with Mode Availability Layers: A Case Study in Dubai doi: 10.3390/app7090923 174 -- Maher Ibrahim Sameen and Biswajeet Pradhan -- Severity Prediction of Traffic Accidents with Recurrent Neural Networks doi: 10.3390/app7060476 191 -- N ´adia F. Afonso and Jos´e C. M. Pires -- Characterization of Surface Ozone Behavior at Different Regimes doi: 10.3390/app7090944 208. |
Record Nr. | UNINA-9910598030803321 |
Basel : , : MDPI AG - Multidisciplinary Digital Publishing Institute, , [2018] | ||
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Lo trovi qui: Univ. Federico II | ||
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Collecting, Processing and Presenting Geoscientific Information : MATLAB® and Design Recipes for Earth Sciences / / by Martin H. Trauth, Elisabeth Sillmann |
Autore | Trauth Martin H |
Edizione | [2nd ed. 2018.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XIII, 274 p. 53 illus., 48 illus. in color.) |
Disciplina | 550.285 |
Collana | Springer Textbooks in Earth Sciences, Geography and Environment |
Soggetto topico |
Earth sciences
Statistics Computer graphics Computer software Earth Sciences, general Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Computer Graphics Mathematical Software |
ISBN | 3-662-56203-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Scientific Information in Earth Sciences -- Searching and Reviewing Scientific Literature -- Internet Resources for Earth Science Data -- MATLAB as a Visualization Tool -- Visualizing Two-Dimensional Earth Science Data -- Visualizing Three-Dimensional Earth Science Data -- Processing and Displaying Images in Earth Sciences -- Editing Graphics, Text, and Tables -- Creating Conference Presentations -- Creating Conference Posters -- Creating Manuscripts, Flyers, and Books. |
Record Nr. | UNINA-9910299383903321 |
Trauth Martin H
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2018 | ||
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Lo trovi qui: Univ. Federico II | ||
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Computers in geology [[electronic resource] ] : 25 years of progress / / edited by John C. Davis, Ute Christina Herzfeld |
Pubbl/distr/stampa | New York, : Oxford University Press, 1993 |
Descrizione fisica | 1 online resource (317 p.) |
Disciplina |
550.285
550/.285 551.0285 |
Altri autori (Persone) |
DavisJohn C
HerzfeldUte Christina |
Collana | International Association for Mathematical Geology studies in mathematical geology |
Soggetto topico |
Geology - Data processing
Geology - Mathematics - Data processing |
Soggetto genere / forma | Electronic books. |
ISBN |
0-19-756052-0
1-280-52713-7 9786610527137 0-19-535889-9 1-4294-0787-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; 1. Introduction; 2. Weights of Evidence Modeling and Weighted Logistic Regression for Mineral Potential Mapping; 3. Gold Prospecting with Factorial Cokriging in the Limousin, France; 4. Recent Experiences with Prospector II; 5. Correspondence Analysis in Heavy Mineral Interpretation; 6. Mathematics Between Source and Trap: Uncertainty in Hydrocarbon Migration Modeling; 7. Risk Analysis of Petroleum Prospects; 8. Characteristic Analysis as an Oil Exploration Tool; 9. Information Management and Mapping System for Subsurface Stratigraphic Analysis
10. Automated Correlation Based on Markov Analysis of Vertical Successions and Walther's Law11. Milankovitch Cyclicity in the Stratigraphic Record-A Review; 12. Can the Ginsburg Model Generate Cycles?; 13. Quantitative Genetics in Paleontology: Evolution in Tertiary Ostracoda; 14. An Integrated Approach to Forward Modeling Carbonate Platform Development; 15. Principal Component Analysis of Three-Way Data; 16. A Solution to the Percentage-Data Problem in Petrology; 17. Amplitude and Phase in Map and Image Enhancement; 18. Fractals in Geosciences-Challenges and Concerns 19. An Executable Notation, with Illustrations from Elementary Crystallography20. Uncertainty in Geology; 21. Expert Systems in Environmental Geology; 22. From Multivariate Sampling to Thematic Maps with an Application to Marine Geochemistry; 23. The Kinematics of Paleo Landforms; 24. R. G .V. Eigen: Legendary Father of Mathematical Geology; Index |
Record Nr. | UNINA-9910450871603321 |
New York, : Oxford University Press, 1993 | ||
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Lo trovi qui: Univ. Federico II | ||
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Computers in geology : 25 years of progress / / editors, John C. Davis, Ute Christina Herzfeld |
Pubbl/distr/stampa | New York : , : Oxford University Press, , 1993 |
Descrizione fisica | 1 online resource (316 pages) : illustrations (black and white, and colour) |
Disciplina |
550.285
550/.285 551.0285 |
Altri autori (Persone) |
DavisJohn C
HerzfeldUte Christina |
Collana | International Association for Mathematical Geology studies in mathematical geology |
Soggetto topico |
Geology - Data processing
Geology - Mathematics - Data processing |
ISBN |
0-19-756052-0
1-280-52713-7 9786610527137 0-19-535889-9 1-4294-0787-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; 1. Introduction; 2. Weights of Evidence Modeling and Weighted Logistic Regression for Mineral Potential Mapping; 3. Gold Prospecting with Factorial Cokriging in the Limousin, France; 4. Recent Experiences with Prospector II; 5. Correspondence Analysis in Heavy Mineral Interpretation; 6. Mathematics Between Source and Trap: Uncertainty in Hydrocarbon Migration Modeling; 7. Risk Analysis of Petroleum Prospects; 8. Characteristic Analysis as an Oil Exploration Tool; 9. Information Management and Mapping System for Subsurface Stratigraphic Analysis
10. Automated Correlation Based on Markov Analysis of Vertical Successions and Walther's Law; 11. Milankovitch Cyclicity in the Stratigraphic Record-A Review; 12. Can the Ginsburg Model Generate Cycles?; 13. Quantitative Genetics in Paleontology: Evolution in Tertiary Ostracoda; 14. An Integrated Approach to Forward Modeling Carbonate Platform Development; 15. Principal Component Analysis of Three-Way Data; 16. A Solution to the Percentage-Data Problem in Petrology; 17. Amplitude and Phase in Map and Image Enhancement; 18. Fractals in Geosciences-Challenges and Concerns 19. An Executable Notation, with Illustrations from Elementary Crystallography; 20. Uncertainty in Geology; 21. Expert Systems in Environmental Geology; 22. From Multivariate Sampling to Thematic Maps with an Application to Marine Geochemistry; 23. The Kinematics of Paleo Landforms; 24. R. G .V. Eigen: Legendary Father of Mathematical Geology; Index |
Record Nr. | UNINA-9910784717903321 |
New York : , : Oxford University Press, , 1993 | ||
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Lo trovi qui: Univ. Federico II | ||
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Earth Systems Data Processing and Visualization Using MATLAB / / by Zekâi Şen |
Autore | Şen Zekâi |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XI, 277 p.) |
Disciplina | 550.285 |
Collana | Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development |
Soggetto topico |
Physical geography
Software engineering Environmental sciences Management information systems Social sciences—Data processing Social sciences—Computer programs Earth System Sciences Software Engineering/Programming and Operating Systems Environmental Science and Engineering Software Management Computational Social Sciences |
ISBN | 3-030-01542-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Statistics fundamentals -- Spatial analyses -- Simulations -- Meteorology -- Hydrology -- Hydrogeology -- Hydrochemistry -- Climate change -- Water resources engineering -- Renewable energy. . |
Record Nr. | UNINA-9910366648803321 |
Şen Zekâi
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Environmental and ecological statistics with R / Song S. Qian |
Autore | Song, Qian S. |
Pubbl/distr/stampa | Boca Raton, FL : Chapman & Hall/CRC, 2010 |
Descrizione fisica | xix, 421 p. : ill. ; 24 cm |
Disciplina | 550.285 |
Collana | Chapman & Hall/CRC applied environmental statistics |
Soggetto non controllato |
Scienze ambientali - Metodi statistici
Ecologia - Metodi statistici R (lingua del programma per computer) |
ISBN | 978-1-4200-6206-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-990009205680403321 |
Song, Qian S.
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Boca Raton, FL : Chapman & Hall/CRC, 2010 | ||
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Lo trovi qui: Univ. Federico II | ||
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Introduction to Python in earth science data analysis : from descriptive statistics to machine learning / / Maurizio Petrelli |
Autore | Petrelli Maurizio |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (229 pages) |
Disciplina | 550.285 |
Collana | Springer textbooks in earth sciences, geography and environment |
Soggetto topico | Geology - Data processing |
ISBN | 3-030-78055-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Overview -- Let me Introduce Myself -- Organization of Book -- Styling Conventions -- Shared Codes -- Involvement and Collaborations -- Contents -- Part I Python for Geologists: A Kickoff -- 1 Setting Up Your Python Environment, Easily -- 1.1 The Python Programming Language -- 1.2 Programming Paradigms -- 1.3 A Local Python Environment for Scientific Computing -- 1.4 Remote Python Environments -- 1.5 Python Packages for Scientific Applications -- 1.6 Python Packages Specifically Developed for Geologists -- 2 Python Essentials for a Geologist -- 2.1 Start Working with IPython Console -- 2.2 Naming and Style Conventions -- 2.3 Working with Python Scripts -- 2.4 Conditional Statements, Indentation, Loops, and Functions -- 2.5 Importing External Libraries -- 2.6 Basic Operations and Mathematical Functions -- 3 Solving Geology Problems Using Python: An Introduction -- 3.1 My First Binary Diagram Using Python -- 3.2 Making Our First Models in Earth Science -- 3.3 Quick Intro to Spatial Data Representation -- Part II Describing Geological Data -- 4 Graphical Visualization of a Geological Data Set -- 4.1 Statistical Description of a Data Set: Key Concepts -- 4.2 Visualizing Univariate Sample Distributions -- 4.3 Preparing Publication-Ready Binary Diagrams -- 4.4 Visualization of Multivariate Data: A First Attempt -- 5 Descriptive Statistics 1: Univariate Analysis -- 5.1 Basics of Descriptive Statistics -- 5.2 Location -- 5.3 Dispersion or Scale -- 5.4 Skewness -- 5.5 Descriptive Statistics in Pandas -- 5.6 Box Plots -- 6 Descriptive Statistics 2: Bivariate Analysis -- 6.1 Covariance and Correlation -- 6.2 Simple Linear Regression -- 6.3 Polynomial Regression -- 6.4 Nonlinear Regression -- Part III Integrals and Differential Equations in Geology -- 7 Numerical Integration -- 7.1 Definite Integrals.
7.2 Basic Properties of Integrals -- 7.3 Analytical and Numerical Solutions of Definite Integrals -- 7.4 Fundamental Theorem of Calculus and Analytical Solutions -- 7.5 Numerical Solutions of Definite Integrals -- 7.6 Computing the Volume of Geological Structures -- 7.7 Computing the Lithostatic Pressure -- 8 Differential Equations -- 8.1 Introduction -- 8.2 Ordinary Differential Equations -- 8.3 Numerical Solutions of First-Order Ordinary Differential Equations -- 8.4 Fick's Law of Diffusion-A Widely Used Partial Differential Equation -- Part IV Probability Density Functions and Error Analysis -- 9 Probability Density Functions and Their Use in Geology -- 9.1 Probability Distribution and Density Functions -- 9.2 The Normal Distribution -- 9.3 The Log-Normal Distribution -- 9.4 Other Useful PDFs for Geological Applications -- 9.5 Density Estimation -- 9.6 The Central Limit Theorem and Normal Distributed Means -- 10 Error Analysis -- 10.1 Dealing with Errors in Geological Measurements -- 10.2 Reporting Uncertainties in Binary Diagrams -- 10.3 Linearized Approach to Error Propagation -- 10.4 The Mote Carlo Approach to Error Propagation -- Part V Robust Statistics and Machine Learning -- 11 Introduction to Robust Statistics -- 11.1 Classical and Robust Approaches to Statistics -- 11.2 Normality Tests -- 11.3 Robust Estimators for Location and Scale -- 11.4 Robust Statistics in Geochemistry -- 12 Machine Learning -- 12.1 Introduction to Machine Learning in Geology -- 12.2 Machine Learning in Python -- 12.3 A Case Study of Machine Learning in Geology -- Appendix A Python Packages and Resources for Geologists -- A.1 Python Libraries for Geologists -- A.2 Python Learning Resources for Geologists -- Appendix B Introduction to Object Oriented Programming -- B.1 Object-Oriented Programming -- B.2 Defining Classes, Attributes, and Methods in Python. Appendix C The Matplotlib Object Oriented API -- C.1 Matplotlib Application Programming Interfaces -- C.2 Matplotlib Object Oriented API -- C.3 Fine Tuning Geological Diagrams Using the OO-Style -- Appendix D Working with Pandas -- D.1 How to Perform Common Operations in Pandas -- Appendix Further Readings. |
Record Nr. | UNINA-9910502625203321 |
Petrelli Maurizio
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Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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Knowledge organization and management in the domain of environment and earth bbservation (KOMEEO) : proceedings of the international KOMEEO Conference 2021 Rende, Italy / / Antonietta Folino, Roberto Guarasci, hrsg |
Pubbl/distr/stampa | Baden-Baden : , : Nomos Verlagsgesellschaft mbH & Co. KG, , [2022] |
Descrizione fisica | 1 Online Ressource |
Disciplina | 550.285 |
Collana | Advances in Knowledge Organization, |
Soggetto topico |
Earth sciences - Data processing
Environmental sciences - Data processing |
ISBN | 9783956508752 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996530872303316 |
Baden-Baden : , : Nomos Verlagsgesellschaft mbH & Co. KG, , [2022] | ||
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Lo trovi qui: Univ. di Salerno | ||
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