Spatial data science taylor francis ltd
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Spatial Data Science Taylor & Francis Ltd
This is abook for data scientists with intermediate R knowledge. The book gives a detailed explanation of the core spatial software packages for R: sf for simple feature access, and stars for raster and vector data cubes – array data with spatial and temporal dimensions. It also shows how geometrical operations change when going from a flat space to the surface of a spher...
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Spatial Statistics for Data Science
Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and soci
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Introduction to Spatial Data Science with GeoDa
This book is the second in a two-volume series that introduces the field of spatial data science. It moves beyond pure data exploration to the organiz
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Introduction to Spatial Data Science with GeoDa
This book is the first in a two-volume series that introduces the field of spatial data science. It offers an accessible overview of the methodology o
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Spatial Statistics for Data Science Theory and Practice with R Taylor & Francis Ltd
Statistics...
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Introduction to Environmental Data Science Taylor & Francis Ltd
Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization, spatial data analysis in vector and raster models and more. It is an ideal textbook to teach undergraduate to graduate level students i...
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3-D Global Spatial Data Model
This new second edition demystifies the concepts of spatial data accuracy and provides mathematical clarity to issues of network accuracy and local ac
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Data Science and Data Analytics
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from stru
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Analyzing Spatial Models of Choice and Judgment
How to apply spatial models using R to a wide range of data used in political science. Models are similar to multidimensional scaling models long used
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Data Science in Practice
Data Science in Practice is the ideal introduction to data science. With or without math skills: Here you get the all-round view that you need for you
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Data Science for Engineers
With tremendous improvement in computational power and availability of rich data, almost all engineering disciplines are using data science in one way
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Data Science for Mathematicians
Mathematicians have skills that would enable them to use data to answer questions important to them and others, and report those answers in compelling
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Basketball Data Science
This book will deal with statistical analysis of basketball data, with special attention to the most recent advances. The book will be of use to stati
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Introduction to Data Science
The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building blocks
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Secure Data Science
This book is a useful resource for researchers, software developers, educators and managers who want to understand both the high level concepts as wel
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Crime Mapping and Spatial Data Analysis using R
Practical introduction to crime mapping and spatial data analysis using R and R Studio. Crime mapping and analysis of crime problems using spatially e
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Modern Data Science with R
This textbook is designed for an undergraduate course in data science that emphasizes topics in both statistics and computer science.
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Introduction to Environmental Data Science
Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on explo
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Big Data and Social Science
This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a
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Data Science and Analytics Strategy
This book describes how to establish data science and analytics capabilities in organisations using emergent design, an evolutionary approach that inc
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Time Series for Data Science
Practical Time Series Analysis for Data Science is an accessible guide that doesnÂ’t require a background in calculus to be engaging but does not shy
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Data Science for Civil Engineering
This book explains use of data science-based techniques for modelling and providing optimal solutions to complex problems in civil engineering. It dea
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Data Science and Machine Learning
The purpose of this book is to provide an accessible, yet comprehensive, account of data science and machine learning. It is intended for anyone inter
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Geographic Data Science with Python
This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation t
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R for Political Data Science
This book is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. I
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R for Health Data Science
R for Health Data Analysis includes everything a healthcare professional needs to go from R Novice to R Guru. By the end of this book, you will be tak
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Applied Spatial Statistics and Econometrics
This textbook is a comprehensive introduction to applied spatial data analysis, using R. Each chapter walks the reader through a different method, exp
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Crime Mapping and Spatial Data Analysis using R Taylor & Francis Ltd
Practical introduction to crime mapping and spatial data analysis using R and R Studio. Crime mapping and analysis of crime problems using spatially explicit data has become a central feature of law enforcement agencies across the world. Criminology degrees have begun to adapt their curriculums to foster the skills required for these jobs....
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Data Science with Semantic Technologies Taylor & Francis Ltd
This volumehighlights how data science enables the user to create intelligence through these technologies. In addition, this book offers the answers to various questions such as can semantic technologies be able to facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists get benefited from these technolo...
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Practitioner’s Guide to Data Science Taylor & Francis Ltd
This book aims to increase the visibility of data science in real-world, which differs from what you learn from a typical textbook. Many aspects of day-to-day data science work are almost absent from conventional statistics, machine learning, and data science curriculum. This book is for readers who want to explore possible career paths and eventually become data scientis...
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Practitioner’s Guide to Data Science Taylor & Francis Ltd
This book aims to increase the visibility of data science in real-world, which differs from what you learn from a typical textbook. Many aspects of day-to-day data science work are almost absent from conventional statistics, machine learning, and data science curriculum. This book is for readers who want to explore possible career paths and eventually become data scientis...
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Data Science with Semantic Technologies Taylor & Francis Ltd
This volume provides a roadmap for the deployment of semantic technologies in the field of data science and enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame.It answersvarious questions like What makes a technology semantic as opposed to other approaches to ...
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Handbook of Data Science with Semantic Technologies Taylor & Francis Ltd
This handbook provides a roadmap for new trends and future development of data science with semantic technologies....
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Data Science for Water Utilities Taylor & Francis Ltd
This addition to the Data Science Series introduces the principles of data science and the Rlanguageto the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the author’s extensive experience. The book is an applied, practical guide that shows water professionals how to use data science ...
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Data Science for Water Utilities Taylor & Francis Ltd
This addition to the Data Science Series introduces the principles of data science and the Rlanguageto the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the author’s extensive experience. The book is an applied, practical guide that shows water professionals how to use data science ...
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Geographic Data Science with Python Taylor & Francis Ltd
This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive, large, frequent, and rapid data, there are new opportunities to understand and analyze the role of geography in everyday life. Geographic Data Science with Python introduces a new way of think...
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Geographic Data Science with Python Taylor & Francis Ltd
This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive, large, frequent, and rapid data, there are new opportunities to understand and analyze the role of geography in everyday life. Geographic Data Science with Python introduces a new way of think...
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Data Science and Analytics Strategy Taylor & Francis Ltd
This book describes how to establish data science and analytics capabilities in organisations using emergent design, an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment. This book has been written for professionals who are looking to build data science and analytics capabilities within their organizations as wel...
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Data Science and Analytics Strategy Taylor & Francis Ltd
This book describes how to establish data science and analytics capabilities in organisations using emergent design, an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment. This book has been written for professionals who are looking to build data science and analytics capabilities within their organizations as wel...
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Data Science for Civil Engineering Taylor & Francis Ltd
This book explains use of data science-based techniques for modelling and providing optimal solutions to complex problems in civil engineering. It discusses civil engineering problems like air, water and land pollution, climate crisis, transportation infrastructures, traffic and travel modes, mobility services, and so forth. Divided into two sections, the first one deals ...
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Hands-On Data Science for Librarians Taylor & Francis Ltd
This book focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports and machine learning. By walking through each skill and its application to library work before walking the reader through each line of c...
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Hands-On Data Science for Librarians Taylor & Francis Ltd
This book focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports and machine learning. By walking through each skill and its application to library work before walking the reader through each line of c...
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Geographic Data Science with R Taylor & Francis Ltd
The purpose of this book is to provide a series of tutorials aimed at teaching good practices for using geospatial data to address problems in environmental geography. Fundamental techniques for processing and visualizing tabular, vector, and raster data are introduced through a series of practical examples followed by case studies that combine multiple types of data to a...
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Foundations of Data Science with Python
Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probabi
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Data Science for Sensory and Consumer Scientists
Data Science for Sensory and Consumer Scientists is a comprehensive textbook that provides a practical guide to using data science in the field of sen
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Data Science in Education Using R
This book provides educational analysts and educators with practical tools to start working in data science and data analysis - using the data usefull
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Advanced Data Science and Analytics with Python
The book is intended for practitioners in data science and data analytics in both academic and business environments. It aims to present the reader wi
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How to Think about Data Science
This book is a timely and critical introduction for people who are interested in what data science is (and isnÂ’t), and how it should be applied. The
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Probability and Statistics for Data Science
This text is designed for a one-semester junior/senior/graduate-level calculus-based course on probability and statistics, aimed specifically at data
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Analysis of Multivariate Social Science Data
Exploring how to use key multivariate methods in the social sciences, this book contains three chapters on regression analysis, confirmatory factor an
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Telling Stories with Data Taylor & Francis Ltd
The book equips students with the end-to-end skills needed to do data science. That means gathering, cleaning, preparing, and sharing data, then using statistical models to analyse data, writing about the results of those models, drawing conclusions from them, and finally, using the cloud to put a model into production, all done in a reproducible way. This book will achie...
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Exploring Data Science with R and the Tidyverse
This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in college-level programming or mathema
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Data Driven Science for Clinically Actionable Knowledge in Diseases
Computational and visual analytics enables effective exploration and sense making of large and complex data through the deployment of appropriate data
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Statistical Analytics for Health Data Science with SAS and R
This book is aimed to compile typical fundamental to advanced statistical methods to be used for health data sciences. This book promotes the applicat
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Algorithmic Foundation of Multi-Scale Spatial Representation
With the widespread use of GIS, multi-scale representation has become an important issue in the realm of spatial data handling. Focusing on geometric
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Statistical Analytics for Health Data Science with SAS and R Taylor & Francis Ltd
This book is aimed to compile typical fundamental to advanced statistical methods to be used for health data sciences. This book promotes the applications to health and health-related data. The data and computing programs will be available to facilitate readers’ learning experience. The primary readers would be applied data scientists and practitioners in any field of dat...
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Spatial Justice, Contested Governance and Livelihood Challenges in Bangladesh Taylor & Francis Ltd
This book analyses the key livelihood and governance challenges that the urban poor experience while navigating public spaces in Dhaka, Bangladesh. Using data collected through extensive fieldwork in Bangladesh, the book contributes to the emerging scholarship of resilient cities, gendered space, spatial justice, and poverty in cities of the Global South. Exploring debate...
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Telling Stories with Data
The book equips students with the end-to-end skills needed to do data science. That means gathering, cleaning, preparing, and sharing data, using stat
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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
This is a modern textbook in statistical inference, using the principles of data science through R and the Tidyverse. It assumes minimal background kn
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Common Data Sense for Professionals
The goal for this book is to provide a step-by-step guide to the data science process so that you can feel confident in leading your own data science
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