Geo.Engineerings

John MacInnes ... 334 pages - Publisher: SAGE Publications Ltd; (December, 2016) ... Language: English - ASIN: B01JZ7IRCG by Amazon.

Many professional, high-quality surveys collect data on people's behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics.

You will learn how to: Create a robust research question and design that suits secondary analysis + Locate, access and explore data online + Understand data documentation + Check and 'clean' secondary data + Manage and analyse your data to produce meaningful results + Replicate analyses of data in published articles and books. Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you'll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book's companion website give you an opportunity to practice, check your understanding and work hands on with real data as you're learning.

Robert W. Christopherson, Ginger Birkeland ... 688 pages - Publisher: Pearson; 10th edition (February, 2017) ... Language: English - ASIN: B06WVT65WP by Amazon.

The most authoritative introduction to physical geography with new applications to real-world geography: Among the most highly regarded texts in physical geography, Robert Christopherson’s best-selling Geosystems: An Introduction to Physical Geography is known for its meticulous attention to detail, up-to-date accuracy, and rich integration of climate change science. Uniquely organized, the text presents Earth systems topics as they naturally occur: atmosphere, hydrosphere, lithosphere, and biosphere. This interconnected and organic systems-based approach is highlighted in strong pedagogical tools, a structured learning path, and current, updated information. The 10th Edition includes new features and activities that help readers apply geography to the real world, revised infographics, and new exercises designed to enhance learning.

Laura Igual, Santi Segui ... 218 pages - Publisher: Springer; (March, 2017) ... Language: English - ISBN-10: 3319500163 - ISBN-13: 978-331950016.

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website.