Products related to Roman:
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Rethinking the Roman City : The Spatial Turn and the Archaeology of Roman Italy
The spatial turn has brought forward new analytical imperatives about the importance of space in the relationship between physical and social networks of meaning.This volume explores this in relation to approaches and methodologies in the study of urban space in Roman Italy. As a consequence of these new imperatives, sociological studies on ancient Roman cities are flourishing, demonstrating a new set of approaches that have developed separately from "traditional" historical and topographical analyses.Rethinking the Roman City represents a convergence of these different approaches to propose a new interpretive model, looking at the Roman city and one of its key elements: the forum.After an introductory discussion of methodological issues, internationally-know specialists consider three key sites of the Roman world – Rome, Ostia and Pompeii.Chapters focus on physical space and/or the use of those spaces to inter-relate these different approaches.The focus then moves to the Forum Romanum, considering the possible analytical trajectories available (historical, topographical, literary, comparative and sociological), and the diversity of possible perspectives within each of these, moving towards an innovative understanding of the role of the forum within the Roman city. This volume will be of great value to scholars of ancient cities across the Roman world, well as historians of urban society and development throughout the ancient world.
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Data Analytics & Visualization All-in-One For Dummies
Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place.Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling.Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one.You’ll learn all about sources of data like data lakes, and you’ll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau.You’ll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level.With this Dummies guide, you’ll be well on your way to becoming a priceless data jockey. Mine data from data sourcesOrganize and analyze data Use data to tell a story with TableauExpand your know-how with Python and R New and novice data analysts will love this All-in-One reference on how to make sense of data.Get ready to watch as your career in data takes off.
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Spatial Analysis with R : Statistics, Visualization, and Computational Methods
In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R.The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis.Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes.New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data miningThis second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.
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Mapping Society : The Spatial Dimensions of Social Cartography
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What is spatial visualization ability?
Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.
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Is spatial visualization important for engineers?
Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.
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Can one improve their spatial visualization skills?
Yes, it is possible to improve spatial visualization skills through practice and training. Engaging in activities such as puzzles, building models, and playing spatial reasoning games can help develop these skills. Additionally, practicing mental rotation exercises and regularly challenging oneself with spatial tasks can also contribute to improvement. With consistent effort and dedication, individuals can enhance their spatial visualization abilities over time.
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What are problems with spatial visualization skills?
Some problems with spatial visualization skills include difficulty in understanding and interpreting maps, graphs, and diagrams. Individuals with poor spatial visualization skills may struggle with tasks such as navigating through unfamiliar environments, understanding 3D objects, and mentally rotating objects. This can impact their performance in subjects such as math, science, and engineering, as well as in everyday activities such as driving and assembling furniture. Additionally, poor spatial visualization skills can lead to frustration and decreased confidence in one's abilities.
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Spatial Epidemiological Approaches in Disease Mapping and Analysis
Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the results as mapped or statistical summaries.Describing the wide range of available methods and key GIS concepts for spatial epidemiology, this book illustrates the utilities of the software using real-world data.Additional topics include geographic data models, address matching, geostatistical analysis, universal kriging, point pattern analysis, kernel density, spatio-temporal display, and disease surveillance.
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Crime Mapping and Spatial Data Analysis using R
Crime mapping and analysis sit at the intersection of geocomputation, data visualisation and cartography, spatial statistics, environmental criminology, and crime analysis.This book brings together relevant knowledge from these fields into a practical, hands-on guide, providing a useful introduction and reference material for topics in crime mapping, the geography of crime, environmental criminology, and crime analysis.It can be used by students, practitioners, and academics alike, whether to develop a university course, to support further training and development, or to hone skills in self-teaching R and crime mapping and spatial data analysis.It is not an advanced statistics textbook, but rather an applied guide and later useful reference books, intended to be read and for readers to practice the learnings from each chapter in sequence.In the first part of this volume we introduce key concepts for geographic analysis and representation and provide the reader with the foundations needed to visualise spatial crime data.We then introduce a series of tools to study spatial homogeneity and dependence.A key focus in this section is how to visualise and detect local clusters of crime and repeat victimisation.The final chapters introduce the use of basic spatial models, which account for the distribution of crime across space.In terms of spatial data analysis the focus of the book is on spatial point pattern analysis and lattice or area data analysis.
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An Introduction to R for Spatial Analysis and Mapping
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 functions to point pattern analysis and spatial attribute analysis. The book:Illustrates approaches to analysis on a range of datasets that are new to this edition. Enables you to put your skills into practice with embedded exercises and over 30 self-test questions. Showcases the possibilities of using spatial analysis to explore spatial inequalities. Whether you’re an R novice or experienced user, this book equips upper undergraduates, postgraduates and researchers with the tools needed for spatial data handling and rich analysis.
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Roman History in Roman Poetry
In Roman History in Roman poetry (the 19th volume of PLLS) distinguished international scholars explore aspects of how historical and historiographical concerns were represented in or affected by Roman poetry.The essays, ranging chronologically from Roman pre-history through the late Republic and early Empire up to the Flavian age, look at the topic in Lucretius, Virgil, Horace, Propertius, Lucan, and Silius, with a concluding paper on the female poet Sulpicia, commenting circumspectly on the politics of the reign of Domitian.
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Roman-German Emperors
The term "Roman-German Emperors" refers to the Holy Roman Emperors, who were rulers of the Holy Roman Empire from the Middle Ages until its dissolution in 1806. The title of Holy Roman Emperor was created in the 10th century and was held by various monarchs who claimed to be the successors of the ancient Roman emperors. The Holy Roman Emperors were elected by a group of German princes and were considered the highest secular authority in the Holy Roman Empire, which was a complex political entity that encompassed parts of modern-day Germany, Italy, and other European countries.
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"Roman-German Emperors"
The term "Roman-German Emperors" refers to the Holy Roman Emperors, who were rulers of a political entity in Central Europe that existed from 962 to 1806. The title of Holy Roman Emperor was created in the 10th century by Otto I, King of Germany, and it symbolized the revival of the Roman Empire in the West. The Holy Roman Emperors were considered the successors of the ancient Roman Emperors and were elected by a group of German princes. The empire was a complex political entity that encompassed parts of modern-day Germany, Italy, and other European territories.
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'Roman-German Emperors'
The Roman-German Emperors were a series of Holy Roman Emperors who ruled over the Holy Roman Empire from the Middle Ages to the early modern period. They were considered the successors to the ancient Roman Emperors and sought to establish their authority over the territories of the former Western Roman Empire. The title of Roman-German Emperor was meant to signify their dual role as rulers of both the Roman and Germanic peoples. The most famous Roman-German Emperor was Charlemagne, who was crowned Emperor of the Romans by Pope Leo III in 800 AD. The title continued to be used by subsequent Holy Roman Emperors until the dissolution of the Holy Roman Empire in 1806.
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Holy Roman Emperor
The title of Holy Roman Emperor was a title given to the ruler of the Holy Roman Empire, a political entity in Central Europe that existed from 962 to 1806. The Holy Roman Emperor was considered the secular ruler of the Christian world, with authority over a vast territory that included parts of modern-day Germany, Italy, and France. The position was elected by a group of powerful princes and bishops known as the Electoral College. The title of Holy Roman Emperor was eventually abolished in 1806 following the defeat of the Empire by Napoleon Bonaparte.
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