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Books on the topic 'Information visualisation'

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1

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

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2

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

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3

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

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4

Fill, Hans-Georg. Visualisation for Semantic Information Systems. Wiesbaden: Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-9514-8.

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5

Chen, Chaomei. Information Visualisation and Virtual Environments. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-3622-4.

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6

Fill, Hans-Georg. Visualisation for Semantic Information Systems. Wiesbaden: Gabler Verlag / GWV Fachverlage GmbH, Wiesbaden, 2009.

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7

Bled, Daniel. Information visualisation in a new dimension. [s.l: The author], 1999.

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8

Bödeker, Barry. Visualisation of multidimensional information: A conceptual approach. [S.l: The author], 1995.

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9

International Conference on Medical Information Visualisation (4th 2007 Zurich, Switzerland). Proceedings, 4th International Conference Medical Information Visualisation: BioMedical Visualisation : MediViz 2007 : 4-6 July, 2007, Zurich, Switzerland. Los Alamitos, Calif: IEEE Computer Society, 2007.

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10

International Conference on Medical Information Visualisation (2006 London, England). Proceedings: International Conference on Medical Information Visualisation - Biomedical Visualisation (MediVis 2006), July 5-7, 2006, London, England. Los Alamitos, Calif: IEEE Computer Society, 2006.

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11

London, England) International Conference on Medical Information Visualisation (3rd 2005. Proceedings: Third International Conference on Medical Information Visualisation - BioMedical Visualisation (MediVis 2005), July 5-7, 2005, London, England. Los Alamitos, Calif: IEEE Computer Society, 2005.

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12

Watkins, Joanne. Reconstruction and visualisation of historic landscapes using GIS. Reading: Dept. of Geography, University of Reading, 2000.

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13

Watkins, Joanne. Reconstruction and visualisation of historic landscapes using GIS. Reading: University of Reading, Department of Geography, 2000.

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14

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

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15

Buchroithner, Manfred. True-3D in Cartography: Autostereoscopic and Solid Visualisation of Geodata. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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16

Asia-Pacific, Symposium on Visualisation (2007 Sydney N. S. W. ). Asia-Pacific Symposium on Visualisation, 2007: Sydney, NSW, Australia, February 5-7, 2007 : proceedings. Piscataway, N.J: IEEE, 2007.

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17

IEEE, International Conference on Information Visualization (2000 London England). Proceedings, IEEE International Conference on Information Visualisation, July 19-21, 2000, London, England. Los Alamitos, Calif: IEEE Computer Society, 2000.

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18

IEEE, Pacific Visualisation Symposium (2008 Kyoto Japan). IEEE Pacific Visualisation Symposium 2008: Proceedings : Kyoto, Japan, March 4-7, 2008. Piscataway, N.J: IEEE, 2008.

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19

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

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20

International Conference on Information Visualisation (9th 2005 London, England). Ninth International Conference on Information Visualisation: Proceedings : 06-08 July 2005, London, England. Los Alamitos, Calif: IEEE Computer Society, 2005.

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21

International Conference on Information Visualisation (12th 2008 London, UK). Proceedings of 12th International conference: Information visualisation, July 9-11, 2008, London, UK. Los Alamitos, Calif: CPS, Conference Pub. Services, 2008.

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22

International, Conference on Information Visualisation (12th 2008 London UK). Proceedings of 12th International conference: Information visualisation, July 9-11, 2008, London, UK. Los Alamitos, Calif: CPS, Conference Pub. Services, 2008.

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23

GraphicsLink and IEEE Computer Society, eds. Proceedings: Sixth International Conference on Information Visualisation : 10-12 July 2002, London, England. Los Alamitos, Calif: IEEE Computer Society, 2002.

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24

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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25

France) International Conference on Information Visualisation (16th 2012 Montpellier. 2012 16th International Conference on Information Visualisation (IV 2012): Montpellier, France 11-13 July 2012. Piscataway, NJ: IEEE, 2012.

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26

International Conference on Information Visualization (5th 2001 London, England). Fifth [IEEE] International Conference on Information Visualisation: Proceedings : 25-27 July 19-21, 2001, London, England. Los Alamitos, Calif: IEEE Computer Society, 2001.

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27

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

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28

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

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29

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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30

Schäfer, Mirko Tobias, and Karin Es, eds. The Datafied Society. NL Amsterdam: Amsterdam University Press, 2017. http://dx.doi.org/10.5117/9789462987173.

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As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualisation, and raising important political and ethical questions regarding its collection, handling, and presentation.
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31

SAS Institute. Discovering JMP 11. [Place of publication not identified]: SAS Institute, 2013.

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32

illustrator, Barker Vicky (Illustrator), ed. Infographics for kids: Activity book. London]: B small, 2014.

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33

The image and the region: Making mega-city regions visible! Baden: Lars Müller Publishers, 2008.

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34

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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35

Turdukulov, Ulanbek Duyshokovich. Visualizing the evolution of image features in time-series: Supporting the exploration of sensor data = Visualisatie van veranderende objecten in multitemporele beelden : ondersteuning van de exploratie van sensor gegevens. Utrecht: Universiteit Utrecht, 2007.

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36

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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37

Drecki, Igor, and Antoni Moore. Geospatial Visualisation. Springer, 2016.

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38

Information Visualisation and Virtual Environments. Springer-Verlag, 1999.

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39

Chen, Chaomei. Information Visualisation and Virtual Environments. Springer, 2014.

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40

Chen, Chaomei. Information Visualisation and Virtual Environments. Springer, 2013.

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41

Stillwell, Stephen Joseph, and IEEE Computer Society. Sixth International Conference on Information Visualisation: Proceedings. IEEE Computer Society Pr, 2002.

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42

Information Visualisation (IV 2002), 6th International Conference. Ieee, 2002.

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43

Staff, IEEE. 2021 25th International Conference Information Visualisation (IV). IEEE, 2021.

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44

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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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

Information is Beautiful. Collins, 2010.

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47

Pagonis, Antonis. An efficient visualisation mechanism for communication network monitoring information. 1999.

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48

Geospatial Visualisation (Lecture Notes in Geoinformation and Cartography). Springer, 2012.

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49

Buchroithner, Manfred. True-3D in Cartography: Autostereoscopic and Solid Visualisation of Geodata. Springer, 2012.

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50

Lonsdale, Maria dos Santos. Information Visualisation: From Theory, to Research, to Practice and Back. SAGE Publications, Limited, 2023.

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