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1-12 sur 12 résultats pour « daniel a griffith »
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  • Spatial Statistics and Geostatistics

    Theory and Applications for Geographic Information Science and Technology

    par Yongwan Chun, Daniel A. Griffith ...
    Collections series SAGE Advances in Geographic Information Science and Technology Series
    "Ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. Difficult concepts are well explained and supported by excellent examples in R code, allowing readers to see how each of the methods is implemented in practice"- Professor Tao Cheng, University College LondonFocusing specifically on spatial statistics and including components for ArcGIS, R, SAS ... En savoir plus

    $100.79 CAD

  • Uncertainty and Context in GIScience and Geography

    Challenges in the Era of Geospatial Big Data

    Modifié par Yongwan Chun, Mei-Po Kwan, Daniel A. Griffith ...
    Uncertainty and context pose fundamental challenges in GIScience and geographic research. Geospatial data are imbued with errors (e.g., measurement and sampling) and various types of uncertainty that often obfuscate any understanding of the effects of contextual or environmental influences on human behaviors and experiences. These errors or uncertainties include those attributable to geospatial ... En savoir plus

    $86.99 CAD

  • Non-standard Spatial Statistics and Spatial Econometrics

    par Daniel A. Griffith, Jean H. Paul Paelinck ...
    Collections series Earth and Environmental Science (R0)
    Despite spatial statistics and spatial econometrics both being recent sprouts of the general tree "spatial analysis with measurement"—some may remember the debate after WWII about "theory without measurement" versus "measurement without theory"—several general themes have emerged in the pertaining literature. But exploring selected other fields of possible interest is tantalizing, and this is what ... En savoir plus

    $179.39 CAD

  • Advances in Geocomputation

    Geocomputation 2015--The 13th International Conference

    Modifié par Daniel A. Griffith, Yongwan Chun, Denis J. Dean ...
    Collections series Springer Nature Proceedings excluding Computer Science
    This book contains refereed papers from the 13th International Conference on GeoComputation held at the University of Texas, Dallas, May 20-23, 2015. Since 1996, the members of the GeoComputation (the art and science of solving complex spatial problems with computers) community have joined together to develop a series of conferences in the United Kingdom, New Zealand, Australia, Ireland and the ... En savoir plus

    $256.19 CAD

  • Morphisms for Quantitative Spatial Analysis

    par Daniel A. Griffith, Jean H. P. Paelinck ...
    Collections series Economics and Finance (R0)
    This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and allomorphisms), which is defined as a structure preserving the functional linkage between mathematical properties or operations in spatial statistics and spatial ... En savoir plus

    $140.89 CAD

  • Transformations Through Space and Time

    An Analysis of Nonlinear Structures, Bifurcation Points and Autoregressive Dependencies

    Modifié par Daniel A. Griffith, Robert P. Haining ...
    Collections series Behavioral Science and Psychology (R0)
    In recent years there has been a growing concern for the development of both efficient and effective ways to handle space-time problems. Such developments should be theoretically as well as empirically oriented. Regardless of which of these two arenas one enters. the impression is quickly gained that contemporary wO,rk on dynamic and evolutionary models has not proved to be as illuminating and ... En savoir plus

    $64.09 CAD

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  • Machine Learning: Concepts, Methodologies, Tools and Applications

    Modifié par Information Resources Management Association ...
    Statistics, psychology, and computer science are major influences in machine learning research. This exciting interdisciplinary science is a crucial component in many cutting-edge systems and business processes. Innovations in machine learning stand to change financial markets and uncover mysteries inherent in human learning. Machine Learning: Concepts, Methodologies, Tools, and Applications ... En savoir plus

    $1,951.19 CAD

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  • xxAI - Beyond Explainable AI

    International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers

    Modifié par Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek ...
    Collections series Computer Science (R0)
    This is an open access book.Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the ... En savoir plus

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  • Statistics

    The Essentials for Research

    par Henry E. Klugh ...
    Published in 1986, Statistics is a valubale contribution to the field of Research Methods/Stats. ... En savoir plus

    $122.29 CAD

  • Handbook of Safety Principles

    Modifié par Sven Ove Hansson, Jan-Erik Holmberg, Carl Rollenhagen, Niklas Möller ...
    Collections Livre 9 - Wiley Series in Operations Research and Management Science
    Presents recent breakthroughs in the theory, methods, and applications of safety and risk analysis for safety engineers, risk analysts, and policy makersSafety principles are paramount to addressing structured handling of safety concerns in all technological systems. This handbook captures and discusses the multitude of safety principles in a practical and applicable manner. It is organized by ... En savoir plus

    $179.99 CAD

  • Data Mining Applications with R

    par Yonghua Cen, Yanchang Zhao ...
    Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. ... En savoir plus

    $70.39 CAD

  • Artificial Intelligence and Cognitive Science

    30th Irish Conference, AICS 2022, Munster, Ireland, December 8–9, 2022, Revised Selected Papers

    Modifié par Luca Longo, Ruairi O’Reilly ...
    Collections series Springer Nature Proceedings Computer Science
    This open access book constitutes selected papers presented during the 30th Irish Conference on Artificial Intelligence and Cognitive Science, held in Munster, Ireland, in December 2022.The 41 presented papers were thoroughly reviewed and selected from the 102 submissions. They are organized in topical sections on machine learning, deep learning and applications; responsible and trustworthy ... En savoir plus

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