Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: George Joseph Название: Building Earth Observation Cameras ISBN: 1138748196 ISBN-13(EAN): 9781138748194 Издательство: Taylor&Francis Рейтинг: Цена: 11176.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "Building Earth Observation Cameras" helps readers understand the tradeoffs in selecting various parameters for electro-optical sensors and how each parameter is optimally selected including detailed account of the actions required to make a camera system space worthy. Case studies based on the IRS sensors are included as well.
Автор: Maurizio Petrelli Название: Introduction to Python in Earth Science Data Analysis ISBN: 3030780546 ISBN-13(EAN): 9783030780548 Издательство: Springer Рейтинг: Цена: 7622.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences.
Автор: Agresti, Alan, Название: Foundations of statistics for data scientists : ISBN: 0367748452 ISBN-13(EAN): 9780367748456 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows the elements of statistical science that are highly relevant for students who plan to become data scientists. However, most of the content focuses on the statistical methods and the theory behind them, rather than on data science.
Автор: Joseph Название: Building Earth Observation Cameras ISBN: 1466566477 ISBN-13(EAN): 9781466566477 Издательство: Taylor&Francis Рейтинг: Цена: 33686.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book helps readers understand the tradeoffs in selecting various sensor parameters for electro-optical sensors and how each parameter is optimally selected in earth observation from vantage point. It provides a detailed account of the actions required to make a camera system space worthy and includes case studies based on the IRS sensors.
Автор: Rey, Sergio Название: Geographic Data Science with Python ISBN: 0367263114 ISBN-13(EAN): 9780367263119 Издательство: Taylor&Francis Рейтинг: Цена: 20671.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Dionisis Hristopulos Название: Random Fields for Spatial Data Modeling ISBN: 9402419160 ISBN-13(EAN): 9789402419160 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Preliminary Remarks.- Why Random Fields?.- Notation and Definitions.- Noise and Errors.- Spatial Data and Basic Processing Procedures.- A Personal Selection of Relevant Books.- Trend Models and Estimation.- Empirical Trend Estimation.- Regression Analysis.- Global Trend Models.- Local Trend Models.- Trend Estimation based on Physical Information.- Trend Based on the Laplace Equation.- Basic Notions of Random Fields.- Introduction.- Single-Point Description.- Stationarity and Statistical Homogeneity.- Variogram versus Covariance.- Permissibility of Covariance Functions.- Permissibility of Variogram Functions.- Additional Topics of Random Field Modeling.- Ergodicity.- Statistical Isotropy.- Anisotropy.- Anisotropic Spectral Densities.- Multipoint Description of Random Fields.- Geometric Properties of Random Fields.- Local Properties.- Covariance Hessian Identity and Geometric Anisotropy.- Spectral Moments.- Length Scales of Random Fields.- Fractal Dimension.- Long-Range Dependence.- Intrinsic Random Fields.- Fractional Brownian Motion.- Classification of Random Fields.- Gaussian Random Fields.- Multivariate Normal Distribution.- Field Integral Formulation.- Useful Properties of Gaussian Random Fields.- Perturbation Theory for Non-Gaussian Probability Densities.- Non-stationary Covariance Functions.- Further Reading.- Random Fields based on Local Interactions.- Spartan Spatial Random Fields.- Two-point Functions and Realizations.- Statistical and Geometric Properties.- Bessel-Lommel Covariance Functions.- Lattice Representations of Spartan Random Fields.- Introduction to Gauss-Markov Random Fields.- From Spartan Random Fields to Gauss-Markov Random Fields.- Lattice Spectral Density.- SSRF Lattice Moments.- SSRF Inverse Covariance Operator on Lattices.- Spartan Random Fields and Langevin Equations.- Introduction to Stochastic Differential Equations.- Classical Harmonic Oscillator.- Stochastic Partial Differential Equations.- Spartan Random Fields and Stochastic Partial Differential Equations.- Covariance and Green's functions.- Whittle-Matйrn Stochastic Partial Differential Equation.- Diversion in Time Series.- Spatial Prediction Fundamentals.- General Principles of Linear Prediction.- Deterministic Interpolation.- Stochastic Methods.- Simple Kriging.- Ordinary Kriging.- Properties of the Kriging Predictor.- Topics Related to the Application of Kriging.- Evaluating Model Performance.- More on Spatial Prediction.- Linear Generalizations of Kriging.- Nonlinear Extensions of Kriging.- Connections with Gaussian Process Regression.- Bayesian Kriging.- Continuum Formulation of Linear Prediction.- The "Local-Interaction" Approach.- Big Spatial Data.- Basic Concepts and Methods of Estimation.- Estimator Properties.- Estimating the Mean with Ordinary Kriging.- Variogram Estimation.- Maximum Likelihood Estimation.- Cross Validation.- More on Estimation.- The Method of Normalized Correlations.- The Method of Maximum Entropy.- Stochastic Local Interactions.- Measuring Ergodicity.- Beyond the Gaussian Models.- Trans-Gaussian Random Fields.- Gaussian Anamorphosis.- Tukey g-h Random Fields.- Transformations based on Kappa Exponentials.- Hermite Polynomials.- Multivariate Student's t-distribution.- Copula Models.- The Replica Method.- Binary Random Fields.- The Indicator Random Field.- Ising Model.- Generalized Linear Models.- Simulations.- Introduction.- Covariance Matrix Factorization.- Spectral Simulation Methods.- Fast-Fourier-Transform Simulation.- Randomized Spectral Sampling.- Conditional Simulation based on Polarization Method.- Conditional Simulation based on Covariance Matrix Factorization.- Monte Carlo Methods.- Sequential Simulation of Random Fields.- Simulated Annealing.- Karhunen-Loиve Expansion.- Karhunen-Loиve Expansion of Spartan Random Fields.- Epilogue.- A Jacobi's Transformation Theorems.- B Tables of SSRF Properties.- C Linear Algebra Facts.- D Kolmogorov-Smirnov Test.- Glossary.- References.-
Автор: Wimberly, Michael C., Название: Geographic data science with R : ISBN: 1032347716 ISBN-13(EAN): 9781032347714 Издательство: Taylor&Francis Рейтинг: Цена: 12554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: There is a lack of books on the broader topic of scientific workflows for geospatial data processing and analysis. This book aims to fill this gap by providing a series of tutorials aimed at teaching good practices for using geospatial data to address problems in environmental geography.
Название: Spatial Data Quality ISBN: 113811782X ISBN-13(EAN): 9781138117822 Издательство: Taylor&Francis Рейтинг: Цена: 12554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Producing maps that depict the real world accurately has been a major concern of cartographers for centuries. This is especially true today as escalating access to geospatial data and the subsequent increase in user-generated content provided by Web 2.0 have significantly altered the typical processes used to produce, distribute, and use geospatial data.
Focusing on users and decisions as well as the data, Spatial Data Quality: From Process to Decisions provides an up-to-date overview of scientific progress in this core sub-discipline of the Geographic Information Sciences. Presenting results from a number of current research projects in spatial data quality (SDQ) -- from the assessment of data accuracy to legal aspects relating to the quality of geographic information -- this reference reflects the changes in practice in response to the rapid technological developments over the past decade.
An impressive panel of internationally recognized expert contributors focuses on the relationship between the quality of geographic data and the quality of decisions based on such data. Structured for easy reference, the first section of the book discusses conceptual approaches to SDQ, the second presents a number of applications of spatial data quality methods, the third looks at SDQ issues for remote sensing data, and the final section presents papers that consider the interface between the law and SDQ.
In addition to the main chapters presented in each section, a number of shorter notes present on-going and recent research projects investigating various aspects of spatial data quality.
Описание: Real-world data sets are messy and complicated. This book shows students in social science and public management how to prepare these data sets for analysis, with detailed, step-by-step instructions. R and Python code is introduced gradually, providing readers with the tools they need to work with real data.
Автор: Phaedon Kyriakidis; Diofantos Hadjimitsis; Dimitri Название: Geospatial Technologies for Local and Regional Development ISBN: 3030147444 ISBN-13(EAN): 9783030147440 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes the full research papers accepted by the scientific programme committee for the 22nd AGILE Conference on Geographic Information Science, held in June 2019 at Cyprus University of Technology, Limassol, Cyprus.
Автор: Oliver Deborah Название: Python for data analysis ISBN: 1801256519 ISBN-13(EAN): 9781801256513 Издательство: Неизвестно Рейтинг: Цена: 2759.00 р. Наличие на складе: Нет в наличии.
Описание:
This audiobook offers a smart introduction to data analysis using Python and is one of the best books available in the market. It covers basic and advanced data analysis concepts in detail using several Python libraries that are well-known for their data analytical features. The book explains everything in detail and, sometimes, enhances the listeners' knowledge by touching on some advanced topics that need strict adherence and sincerity to master.
In this audiobook, we start with an introduction to data analysis using the catering system as an example. We always strive to give Python code for the concepts discussed because it gives a practical understanding of the topic.
Below are some the most important topics we have discussed in this book, in no particular order:
Data analysis with a universal catering system that helps us understand different data mining models available
Introduction to Python, Numpy, and Pandas and their installation
Numpy and advanced array functions it offers
Pandas and functions it offers
Basic and advanced data analysis skills
Plotting features in data analysis
Time series functions in data analysis
E-commerce example to understand the real-world application of data analysis
So, what are you waiting for? Go on a drive to conquer data analysis skills by using this book.
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