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Books on the topic 'Data visualization tool'

Author: Grafiati

Published: 15 July 2021

Last updated: 1 February 2022

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1

Parsaye, Kamran. Intelligent database tools & applications: Hyperinformation access, data quality, visualization, automatic discovery. New York: Wiley, 1993.

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2

S, Hankin, and Pacific Marine Environmental Laboratory (U.S.), eds. FERRET: A computer visualization and analysis tool for gridded data. Seattle, Wash: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Pacific Marine Environmental Laboratory, 1992.

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3

U.S. Fish and Wildlife Service, ed. Geospatial application: Aquatic habitat analysis and visualization tool. [Washington, D.C.?: U.S. Dept. of the Interior, Fish and Wildlife Service, 1995.

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4

Measuring Intelligence, Surveillance, and Reconnaissance Effectiveness at the United States Central Command: Data Visualization Tool Documentation. RAND Corporation, 2021. http://dx.doi.org/10.7249/tl358.

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5

Makela, Susanna, Yajuan Si, and Andrew Gelman. Graphical Visualization of Polling Results. Edited by Lonna Rae Atkeson and R. Michael Alvarez. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190213299.013.12.

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This chapter argues that it is wasteful to do a large, expensive poll and then just report a few percentages. Statistical modeling allows researchers to make the most effective use of available data, and graphs make it possible to convey more information more directly, both to general audiences and to specialists. Graphs are an invaluable tool at each step of the modeling process: exploring raw data, building and refining the model, and understanding and communicating the results are all made easier with graphs. In addition, graphical methods can be useful to survey researchers to understand weighting and other aspects of survey construction and analysis. The chapter includes several examples.

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6

Pfeffer, Jürgen. Visualization of Political Networks. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.13.

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Network visualization and political networks have a long history, and some of the earliest and most effective network visualizations have been about power and influence. Now as in the past, network visualization is one of the most effective tools for both exploratory analysis and the communication of scientific results. This chapter discusses the rhetorical, technical, and aesthetic principles that underlie successful network visualizations. The chapter covers automated layout algorithms as well as layouts resulting from the substance of the network. Aspects of visualizing multivariate network data are also discussed. The use of additional visual elements such as color and size is deliberated. The various topics of this chapter are contrasted with issues resulting from human perception and with frequently encountered visualization challenges, such as those encountered when working with dense networks.

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7

Dodge, Martin E. Geographic Visualization: Concepts, Tools and Applications. Wiley & Sons, Incorporated, John, 2011.

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8

Dodge, Martin E. Geographic Visualization: Concepts, Tools and Applications. Wiley & Sons, Incorporated, John, 2008.

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9

Dodge, Martin E. Geographic Visualization: Concepts, Tools and Applications. Wiley & Sons, Incorporated, John, 2011.

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10

E, Bowie Jack, ed. Data visualization in molecular science: Tools for insight and innovation. Reading, Mass: Addison-Wesley Pub. Co., 1995.

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11

Hara, Mariko, and Tia DeNora. Leaving Something to the Imagination. Edited by John Richardson, Claudia Gorbman, and Carol Vernallis. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199733866.013.0013.

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This article appears in theOxford Handbook of New Audiovisual Aestheticsedited by John Richardson, Claudia Gorbman, and Carol Vernallis. This chapter suggests that an examination of “seeing through music” highlights the cross-sensory or synaesthetic dimension of perception and identification in naturally occurring settings. Using data from interviews with elderly Japanese people who recall their first encounters with the West and Western classical music, it then considers how musically led visualization may be part of how individuals imagine and then orient to phenomena that they may only encounter in the future. This process of virtual seeing highlights music’s role as a “prosthetic technology”—in this case, a tool for visual enhancement, which in turn may provide resources for future action, goals, and aspirations, for “seeing” and acting in and acting upon future events. Finally, to the extent that music enables one to envision the future, the chapter suggests how musical “visualization” can enable new learning.

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12

Soukup, Tom, and Ian Davidson. Visual Data Mining: Techniques and Tools for Data Visualization and Mining. Wiley & Sons, Incorporated, John, 2002.

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13

Visual Data Mining: Techniques and Tools for Data Visualization and Mining. Wiley, 2002.

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14

Choosing the Right Visualization Tools for COVID-19 Data. United Kingdom: SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529778342.

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15

Light, Ryan, and James Moody, eds. The Oxford Handbook of Social Networks. Oxford University Press, 2020. http://dx.doi.org/10.1093/oxfordhb/9780190251765.001.0001.

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Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.

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16

Text Mining, Web Mining, and Visualization Use Cases Using Open Source Tools. CRC Press LLC, 2015.

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17

Bowie, Jack E. Data Visualization in the Molecular Sciences: Tools for Insight and Innovation. Addison Wesley Longman, 1994.

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18

Visual Intelligence: Microsoft Tools and Techniques for Visualizing Data. Wiley, 2013.

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19

1951-, Kirschner Paul Arthur, ed. Visualizing argumentation: Software tools for collaborative and educational sense-making. London: Springer, 2003.

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20

Berinato, Scott. The Harvard Business Review Good Charts Collection: Tips, Tools, and Exercises for Creating Powerful Data Visualizations. Harvard Business Review Press, 2019.

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21

K, Brail Richard, and Klosterman Richard E, eds. Planning support systems: Integrating geographic information systems, models, and visualization tools. Redlands, Calif: ESRI Press, 2001.

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22

Brail, Richard, and Richard Klosterman. Planning Support Systems: Integrating Geographic Information Systems, Models, and Visualization Tools. Esri Press, 2001.

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