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Relevant bibliographies by topics / Data Visualisation / Books

Books on the topic 'Data Visualisation'

To see the other types of publications on this topic, follow the link: Data Visualisation.

Author: Grafiati

Published: 4 June 2021

Last updated: 7 July 2024

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1

Rahlf, Thomas. Data Visualisation with R. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28444-2.

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Rahlf, Thomas. Data Visualisation with R. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49751-8.

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3

Shah, Neel. Visualisation of electricity market data. Manchester: University of Manchester, Department of Computer Science, 1996.

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4

Hall, Tim. 3D visualisation of mobile robot sensr data. Manchester: University of Manchester, Department of Computer Science, 1997.

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5

Bianconi, Francesco. Data and Process Visualisation for Graphic Communication. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57051-3.

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6

Pryke, Andy Neil. Data mining using genetic algorithms and interactive visualisation. Birmingham: University of Birmingham, 1999.

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7

Ottoson, Patrik. Geographic indexing and data management for 3D-visualisation. Stockholm: Royal Institute of Technology, KTH, 2001.

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8

Hobbs, Kenneth Frank. The visualisation and rendering of digital elevation data. London: University of East London, 2000.

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9

Foreman, Darren. Visualisation of data structures and operations on them. Manchester: University of Manchester, 1995.

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10

Archer, L. M. Visualisation of data structures, and operations on them. Manchester: Universityof Manchester, Department of Computer Science, 1995.

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11

Ruddy, David Andrew. Sharing of data visualisation within a virtual organisation. Oxford: Oxford Brookes University, 2003.

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12

Keville, Thomas Declan. Visualisation: An investigation into the approaches for displaying data. [s.l: The Author], 1998.

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13

Maude, Natalie. Visualisation and data analysis of personnel movement in buildings. Wolverhampton: University of Wolverhampton, 1998.

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14

Callow, Joanne. Web-enabled analysis and visualisation of diabetic clinic data. Oxford: Oxford Brookes University, 2001.

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15

Bernd, Girod, Niemann Heinrich, Seidel Hans-Peter 1958-, and Sonderforschungsbereich 603--"Model-based Analysis and Visualization of Complex Scenes and Sensor Data"., eds. Vision, modeling, and visualisation '99. Sankt Augustin: Infix, 1999.

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16

Kirk, Andy. Visualization Insights from Neil Richards’ Questions in Dataviz: A Data-Driven Process for Data Visualisation. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Ltd, 2024. http://dx.doi.org/10.4135/9781529684728.

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17

Barrett, Philip James. Exploratory database visualisation: The application & assessment of data and dimensionality reduction. Birmingham: Aston University. Department of Computer Science and Applied Mathematics, 1995.

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18

Reilly, Paul. Data visualisation: Recent advances in the application of graphic systems to archaeology. Winchester, [Eng.]: IBM UK Scientific Center, 1988.

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19

British Computer Society. Computer Graphics and Displays Group., British Computer Society. Displays Group., and Data Visualisation and Archaeology: Visual Reconstruction from Partial Data (Seminar) (1989 : London), eds. Data visualisation and archaeology: Visual reconstruction from partial data : state of the art seminar, 5th December, 1990, London. London: British Computer Society, 1990.

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20

Ghadirian, Payam. GIS-based augmented reality: A realistic approach to environmental visualisation. Saarbrücken: Lambert Academic Publishing, 2009.

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21

Reichenbacher, Tumasch. Mobile cartography: Adaptive visualisation of geographic information on mobile devices. München: Verlag Dr. Hut, 2004.

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22

Ashutosh, Nandeshwar, Ohmann Ashley, and Floyd Matt, eds. Tableau: Creating Interactive Data Visualizations. Birmingham, UK: Packt Publishing, 2016.

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23

Christopher, Pettit, Cartwright William 1948-, Bishop Ian D, Lowell Kim, Pullar David, and Duncan David, eds. Landscape analysis and visualisation: Spatial models for natural resource management and planning. Berlin: Springer, 2008.

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24

International Fall Workshop Vision, Modeling, and Visualization (4th 1999 Erlangen, Germany). Vision, modeling, and visualisation '99: Proceedings, November 17-19, 1999, Erlangen (Germany). Sankt Augustin: Infix, 1999.

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25

Modern data warehousing, mining, and visualization: Core concepts. Upper Saddle River, N.J: Prentice Hall, 2003.

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26

Rozenblat, Céline. Methods for Multilevel Analysis and Visualisation of Geographical Networks. Dordrecht: Springer Netherlands, 2013.

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27

Bernd, Girod, and Sonderforschungsbereich 603--"Model-based Analysis and Visualization of Complex Scenes and Sensor Data"., eds. Vision, modeling, and visualisation 2000: Proceedings November 22-24, 2000 , Saarbrüchen, Germany. Berlin: AKA, 2000.

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28

Evans, Robert. Art, science and informatics: Visualisation of large, complex data sets in high-speed measurement of the microstructure of wood. Vancouver, B.C: University of British Columbia, 2002.

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29

Kirk, Andy. Visualisation Insights From Andrea Lau’s Work on the UNDP’s ‘COVID-19 Socio-Economic Recovery Data Insight Platform’. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Inc., 2023. http://dx.doi.org/10.4135/9781529628067.

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30

Kirk, Andy. Data Visualisation: A Handbook for Data Driven Design. SAGE Publications, Limited, 2016.

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31

Kirk, Andy. Data Visualisation: A Handbook for Data Driven Design. SAGE Publications, Limited, 2019.

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32

Data visualisation: A handbook for data driven design. Sage Publications, 2016.

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33

Data Visualisation: A Handbook for Data Driven Design. SAGE Publications, Limited, 2019.

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34

Rahlf, Thomas. Data Visualisation with R: 100 Examples. Springer, 2017.

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35

Rahlf, Thomas. Data Visualisation with R: 111 Examples. Springer International Publishing AG, 2020.

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36

Statistics and Data Visualisation with Python. CRC Press LLC, 2022.

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37

Data Visualisation with R: 100 Examples. Springer, 2017.

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38

Data Visualisation with R: 111 Examples. Springer, 2019.

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39

Statistics and Data Visualisation with Python. CRC Press LLC, 2022.

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40

Rogel-Salazar, Jesus. Statistics and Data Visualisation with Python. Taylor & Francis Group, 2022.

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41

Rogel-Salazar, Jesus. Statistics and Data Visualisation with Python. Taylor & Francis Group, 2022.

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42

Rogel-Salazar, Jesus. Statistics and Data Visualisation with Python. Taylor & Francis Group, 2022.

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43

Hamzah, Muzaffar. Framework for Information Visualisation to Support Decision-making. UMS Press, 2020. http://dx.doi.org/10.51200/frameworkumspress2020-978-967-2166-73-3.

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Abstract:

The emergence of big data presents opportunities for corporate organisations to exploit massive data collection for strategical decision-making. Despite having access to these data, managers inherently struggle in taking advantages of available information for decision-making. Visualisation offers enhancement on managerial decision-making process via mental cognitive load reduction using visual representation. Albeit the advances of visualisation tools, visualisation for decision-making is rarely explored, leading to a limited understanding of suitable techniques. This book offers knowledge on leveraging information visualisation as a tool in public managerial decision making. In this book, we introduce a framework for supporting software designers in devising visualisation for decision-making support. Our framework encompasses guidelines on requirements and challenges in identifying decision-relevant information and recommended visualisations to represent it. This book discusses the underlying theories, techniques and models of information visualisation and associated with the decision-making process. This book characterizes processes and roles from organisational practices for extracting relevant information within a corporate data warehouse. The chapters within this book cumulatively demonstrate the information visualisation process in supporting organisational decision making. In addition, this book articulates a comprehensive knowledge of Malaysian public service’s decision-making processes and practices. This book highlights emerging opportunities and challenges in using information visualisation in Malaysia for the future undertaking.

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44

Frost, Adam, Tobias Sturt, Jim Kynvin, and Sergio Gallardo. Communicating with Data Visualisation: A Practical Guide. SAGE Publications, Limited, 2021.

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45

Aiken, Carlos L. V., Kent Nielsen, and Xueming Xu. Digital Mapping: Data Capture, Analysis and Visualisation. Blackwell Scientific Publications (BSP), 2020.

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46

Aiken, Carlos L. V., Kent Nielsen, and Xueming Xu. Digital Mapping: Data Capture, Analysis and Visualisation. Blackwell Scientific Publications (BSP), 2020.

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47

Frost, Adam, Tobias Sturt, Jim Kynvin, and Sergio Gallardo. Communicating with Data Visualisation: A Practical Guide. SAGE Publications, Limited, 2021.

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48

Data Visualization. CRC Press LLC, 2018.

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49

Opitz, Rachel S., and David C. Cowley. Interpreting Archaeological Topography: 3D Data, Visualisation and Observation. Oxbow Books, Limited, 2013.

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50

Opitz, Rachel S., and David C. Cowley. Interpreting Archaeological Topography: 3D Data, Visualisation and Observation. Oxbow Books, Limited, 2013.

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