Visualizing The Data City
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| Author | : Paolo Ciuccarelli |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 79 |
| Release | : 2014-02-17 |
| Genre | : Computers |
| ISBN | : 3319021958 |
This book investigates novel methods and technologies for the collection, analysis and representation of real-time user-generated data at the urban scale in order to explore potential scenarios for more participatory design, planning and management processes. For this purpose, the authors present a set of experiments conducted in collaboration with urban stakeholders at various levels (including citizens, city administrators, urban planners, local industries and NGOs) in Milan and New York in 2012. It is examined whether geo-tagged and user-generated content can be of value in the creation of meaningful, real-time indicators of urban quality, as it is perceived and communicated by the citizens. The meanings that people attach to places are also explored to discover what such an urban semantic layer looks like and how it unfolds over time. As a conclusion, recommendations are proposed for the exploitation of user-generated content in order to answer hitherto unsolved urban questions. Readers will find in this book a fascinating exploration of techniques for mining the social web that can be applied to procure user-generated content as a means of investigating urban dynamics.
| Author | : Pedram Dibazar |
| Publisher | : Cities and Cultures |
| Total Pages | : 0 |
| Release | : 2018 |
| Genre | : Cities and towns |
| ISBN | : 9789462984356 |
Visualizing the Street investigates the social and cultural significance of new developments at the intersection of visual culture and urban space.
| Author | : Martin Engebretsen |
| Publisher | : Amsterdam University Press |
| Total Pages | : |
| Release | : 2020-03-21 |
| Genre | : Computers |
| ISBN | : 9463722904 |
Today we are witnessing an increased use of data visualization in society. Across domains such as work, education and the news, various forms of graphs, charts and maps are used to explain, convince and tell stories. In an era in which more and more data are produced and circulated digitally, and digital tools make visualization production increasingly accessible, it is important to study the conditions under which such visual texts are generated, disseminated and thought to be of societal benefit. This book is a contribution to the multi-disciplined and multi-faceted conversation concerning the forms, uses and roles of data visualization in society. Do data visualizations do 'good' or 'bad'? Do they promote understanding and engagement, or do they do ideological work, privileging certain views of the world over others? The contributions in the book engage with these core questions from a range of disciplinary perspectives.
| Author | : Jennifer Jang (M. Eng.) |
| Publisher | : |
| Total Pages | : 71 |
| Release | : 2015 |
| Genre | : |
| ISBN | : |
With the advent of the internet, we now have access to more public data than at any other point in human history. However, much of this data still exists as bits stored away somewhere on the web, both hard to find and hard to understand. For this thesis, I worked on finding ways to visualize large datasets in succinct, comprehendable ways to tell meaningful stories about the cities that we live in. I present a portfolio of six visualizations that I made as examples of how data can be represented in understandable and beautiful ways. The first three maps deal with public schools in the city. More specifically, the maps deal with exposing trends in public school systems and pinpointing different compounding factors that may influence both the average quality and variance of education in a city. The fourth map deals with tracking immigration by sea and using that information to trace the cultural lineage of a city. The last two maps deal with public transportation and connectedness in a city. These maps may shed light on where population hubs occur in a city and what aspects of a city's public transportation system may be made more efficient. I present these maps as examples of data visualizations that may be adapted to visualize other datasets or be used as inspiration to understanding data and cities on a deeper level.
| Author | : Danyel Fisher |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 167 |
| Release | : 2017-12-20 |
| Genre | : Computers |
| ISBN | : 1491928441 |
"You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you're stumped as to how to turn that data into insight. Which part of that data actually matters, and where is this insight hidden? If you're a data scientist who struggles to navigate the murky space between data and insight, this book will help you think about and reshape data for visual data exploration. It's ideal for relatively new data scientists, who may be computer-knowledgeable and data-knowledgeable, but do not yet know how to create effective, explorable representations of data. With this book, you'll learn: Task analysis, driven by a series of leading questions that draw out the important aspects of the data to be explored; Visualization patterns, each of which take a different perspective on data and answer different questions; A taxonomy of visualizations for common data types; Techniques for gathering design requirements; When and where to make use of statistical methods."--
| Author | : Robert Grant |
| Publisher | : CRC Press |
| Total Pages | : 217 |
| Release | : 2018-12-07 |
| Genre | : Mathematics |
| ISBN | : 135178174X |
This is the age of data. There are more innovations and more opportunities for interesting work with data than ever before, but there is also an overwhelming amount of quantitative information being published every day. Data visualisation has become big business, because communication is the difference between success and failure, no matter how clever the analysis may have been. The ability to visualize data is now a skill in demand across business, government, NGOs and academia. Data Visualization: Charts, Maps, and Interactive Graphics gives an overview of a wide range of techniques and challenges, while staying accessible to anyone interested in working with and understanding data. Features: Focusses on concepts and ways of thinking about data rather than algebra or computer code. Features 17 short chapters that can be read in one sitting. Includes chapters on big data, statistical and machine learning models, visual perception, high-dimensional data, and maps and geographic data. Contains more than 125 visualizations, most created by the author. Supported by a website with all code for creating the visualizations, further reading, datasets and practical advice on crafting the images. Whether you are a student considering a career in data science, an analyst who wants to learn more about visualization, or the manager of a team working with data, this book will introduce you to a broad range of data visualization methods. Cover image: Landscape of Change uses data about sea level rise, glacier volume decline, increasing global temperatures, and the increasing use of fossil fuels. These data lines compose a landscape shaped by the changing climate, a world in which we are now living. Copyright © Jill Pelto (jillpelto.com).
| Author | : Jonathan Schwabish |
| Publisher | : Columbia University Press |
| Total Pages | : 464 |
| Release | : 2021-02-09 |
| Genre | : Computers |
| ISBN | : 0231550154 |
Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do’s and don’ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart’s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message.
| Author | : Giorgia Lupi |
| Publisher | : Chronicle Books |
| Total Pages | : 304 |
| Release | : 2016-09-13 |
| Genre | : Design |
| ISBN | : 1616895462 |
Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.
| Author | : Noah Iliinsky |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 111 |
| Release | : 2011-09-16 |
| Genre | : Computers |
| ISBN | : 1449317065 |
Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually. Delve into different kinds of visualization, including infographics and visual art, and explore the influences at work in each one. Then learn how to apply these concepts to your design process. Learn data visualization classifications, including explanatory, exploratory, and hybrid Discover how three fundamental influences—the designer, the reader, and the data—shape what you create Learn how to describe the specific goal of your visualization and identify the supporting data Decide the spatial position of your visual entities with axes Encode the various dimensions of your data with appropriate visual properties, such as shape and color See visualization best practices and suggestions for encoding various specific data types
| Author | : Dianne M. Finch |
| Publisher | : Focal Press |
| Total Pages | : 140 |
| Release | : 2020-12-23 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 9781138910911 |
This book offers an engaging and accessible introduction to data visualization for communicators, covering everything from data collection and analysis to the creation of effective data visuals. Straying from the typical "how to visualize data" genre often written for technical audiences, Big Data in Small Slices offers those new to data gathering and visualization the opportunity to better understand data itself. Using the concept of the "data backstory," each chapter features discussions with experts, from marine scientists to pediatricians and city government officials, who produce datasets in their daily work. The reader is guided through the process of designing effective visualizations based on their data, delving into how datasets are produced and vetted, and how to assess their weaknesses and strengths, ultimately offering readers the knowledge needed to produce their own effective data visuals. This book is an invaluable resource for anyone interested in data visualization and storytelling, from journalism and communications students to public relations professionals. A detailed accompanying website features additional material for readers, including links to all the original datasets used in the text, at www.bigdatainsmallslices.com
