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Showing 1 - 12 of 12 results for “chris brunsdon”
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  • An Introduction to R for Spatial Analysis and Mapping

    by Chris Brunsdon, Lex Comber ...
    Series series Spatial Analytics and GIS
    The ever-expanding availability of spatial data continues to revolutionise research. This book is your go-to guide to getting the most out of handling, mapping and analysing location-based data.Without assuming prior knowledge of GIS, geocomputation or R, this book helps you understand spatial analysis and mapping and develop your programming skills, from learning about scripting and writing ... Read more

    $149.99 CAD

  • Quantitative Geography

    Perspectives on Spatial Data Analysis

    by Chris Brunsdon, Martin Charlton, A Stewart Fotheringham ...
    Integrating a discussion of the application of quantitative methods with practical examples, this book explains the philosophy of the new quantitative methodologies and contrasts them with the methods associated with geography′s `Quantitative Revolution′ of the 1960s. Key issues discussed include: the nature of modern quantitative geography; spatial data; geographical information systems; ... Read more

    $133.99 CAD

  • Geocomputation

    A Practical Primer

    Edited by Chris Brunsdon, Alex David Singleton ...
    Series series Spatial Analytics and GIS
    Geocomputation is the use of software and computing power to solve complex spatial problems. It is gaining increasing importance in the era of the ‘big data’ revolution, of ‘smart cities’, of crowdsourced data, and of associated applications for viewing and managing data geographically - like Google Maps. This student focused book:Provides a selection of practical examples of geocomputational ... Read more

    $125.99 CAD

  • Geographical Data Science and Spatial Data Analysis

    An Introduction in R

    by Lex Comber, Chris Brunsdon ...
    Series series Spatial Analytics and GIS
    We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, ... Read more

    $100.99 CAD

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  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

    by Aurélien Géron ...
    Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) ... Read more

    $77.99 CAD

  • The New Science of Cities

    by Michael Batty ...
    A proposal for a new way to understand cities and their design not as artifacts but as systems composed of flows and networks.In The New Science of Cities, Michael Batty suggests that to understand cities we must view them not simply as places in space but as systems of networks and flows. To understand space, he argues, we must understand flows, and to understand flows, we must understand ... Read more

    $43.99 CAD

  • Introduction to Machine Learning with Python

    A Guide for Data Scientists

    by Andreas C. Müller, Sarah Guido ...
    Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your ... Read more

    $54.99 CAD

  • Modelling Transport

    by Luis G. Willumsen, Juan de Dios Ortúzar ...
    Already the market leader in the field, Modelling Transport has become still more indispensible following a thorough and detailed update. Enhancements include two entirely new chapters on modelling for private sector projects and on activity-based modelling; a new section on dynamic assignment and micro-simulation; and sizeable updates to sections on disaggregate modelling and stated preference ... Read more

    $91.99 CAD

  • Hands-On Machine Learning with Scikit-Learn and PyTorch

    Concepts, Tools, and Techniques to Build Intelligent Systems

    by Aurélien Géron ...
    The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place.With an approachable yet deeply informative style, author ... Read more

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  • Learning OpenCV

    Computer Vision with the OpenCV Library

    by Gary Bradski, Adrian Kaehler ...
    "This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of TechnologyLearning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the ... Read more

    $35.99 CAD

  • Ecological Models and Data in R

    by Benjamin M. Bolker ...
    Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive ... Read more

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  • Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R

    by Robert Knell ...
    R is now the most widely used statistical software in academic science and it is rapidly expanding into other fields such as finance. R is almost limitlessly flexible and powerful, hence its appeal, but can be very difficult for the novice user. There are no easy pull-down menus, error messages are often cryptic and simple tasks like importing your data or exporting a graph can be difficult and ... Read more

    $8.36 CAD