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Books on the topic 'Visualisation'

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1

Roland, Mortier, ed. Visualisation. Berlin: Berlin-Verl. Spitz, 1999.

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2

Rea, Paul M., ed. Biomedical Visualisation. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61125-5.

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Rea, Paul M., ed. Biomedical Visualisation. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76951-2.

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Rea, Paul M., ed. Biomedical Visualisation. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87779-8.

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5

Shapiro, Leonard, and Paul M. Rea, eds. Biomedical Visualisation. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10889-1.

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6

Rea, Paul M., ed. Biomedical Visualisation. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06070-1.

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7

Rea, Paul M., ed. Biomedical Visualisation. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37639-0.

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8

Rea, Paul M., ed. Biomedical Visualisation. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43961-3.

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9

Rea, Paul M., ed. Biomedical Visualisation. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31904-5.

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10

Rea, Paul M., ed. Biomedical Visualisation. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47483-6.

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11

Rea, Paul M., ed. Biomedical Visualisation. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14227-8.

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12

Rea, Paul M., ed. Biomedical Visualisation. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24281-7.

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13

Rea, Paul M., ed. Biomedical Visualisation. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19385-0.

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14

Moore, Antoni, and Igor Drecki, eds. Geospatial Visualisation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-12289-7.

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15

Shapiro, Leonard, and Paul M. Rea, eds. Biomedical Visualisation. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-13021-2.

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16

Varsou, Ourania, Paul M. Rea, and Michelle Welsh, eds. Biomedical Visualisation. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17135-2.

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17

Peter, Eades, and Zhang Kang, eds. Software visualisation. Singapore: World Scientific, 1996.

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18

Wood, Simon. Drought visualisation. Oxford: Oxford Brookes University, 2000.

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19

Shaughnessy, J. 3D visualisation. Manchester: University of Manchester, Department of ComputerScience, 1995.

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20

Abdel Meguid, Eiman, Priti L. Mishall, Haley L. Nation, and Paul M. Rea, eds. Biomedical Visualisation. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26462-7.

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21

Cui, Dongmei, Edgar R. Meyer, and Paul M. Rea, eds. Biomedical Visualisation. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-36727-4.

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22

Border, Scott, Paul M. Rea, and Iain D. Keenan, eds. Biomedical Visualisation. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30379-1.

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23

Bishop, David Henry. Path scene visualisation. Oxford: Oxford Brookes University, 2003.

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24

Loughran, John. Information retrieval & visualisation. (s.l: The Author), 1998.

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25

Reddy, A. K. Visualisation of risk. Manchester: UMIST, 1996.

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26

John, Lansdown, ed. Graphics and visualisation. Cambridge: Cambridge University Press, 1990.

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27

Denning, Melita. La visualisation créatrice. Paris: J'ai lu, 1989.

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28

Pettit, Christopher, William Cartwright, Ian Bishop, Kim Lowell, David Pullar, and David Duncan, eds. Landscape Analysis and Visualisation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69168-6.

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29

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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30

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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31

Boştenaru Dan, Maria, and Cerasella Crăciun, eds. Space and Time Visualisation. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24942-1.

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32

Galyean, Beverly. Visualisation, apprentissage et conscience. Sainte-Foy, Qué: Centre d'intégration de la personne, 1986.

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33

Smyth, Bryan. Dynamic visualisation of information. [S.l.]: [The author], 1996.

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34

Bentham, Gary P. Towards an information visualisation system. Manchester: UMIST, 1998.

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35

Visualisation. Berlin: Berlin Verlag A. Spitz, 1999.

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36

Visualisation. Teach Yourself Books, 1996.

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37

Visualisation. London: Headway, 1994.

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38

Visualisation. Piatkus Books, 1996.

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39

Visualisation. Shaftesbury, Dorset: Element, 1997.

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40

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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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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41

Françon, Alain. Visualisation Créative. Independently Published, 2019.

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42

Laur, Auteur Isabelle. Visualisation Compensatrice. Lulu Press, Inc., 2008.

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43

Rea, Paul M. Biomedical Visualisation. Springer International Publishing AG, 2020.

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44

Eades, P., and K. Zhang. Software Visualisation. WORLD SCIENTIFIC, 1996. http://dx.doi.org/10.1142/3253.

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45

MacDonald, Alan. Windfarm Visualisation. Whittles Publishing Ltd, 2012.

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46

3D Visualisation. Emerald Publishing Limited, 2007.

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47

Landscape Visualisation. John Wiley and Sons Ltd, 2007.

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48

Landscape Visualisation. John Wiley and Sons Ltd, 2007.

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49

Creative Visualisation. Transworld Publishers Ltd, 1998.

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50

Ege, Monique. La visualisation. Bernet-Danilo, 1995.

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