Abstract
This study aims to analyse user requirement for waterbodies data visualization to help decision making process for the water related issues. The preliminary survey has been conducted at National Hydraulic Research Institute of Malaysia (NAHRIM) as the case study of this research. The methodology used to gather this requirement is by conducting a survey comprises 20 NAHRIM’s staff. The survey is expected to help the researcher to gain more insight on the critical requirement to develop waterbodies data visualization, which will drive the whole research to support the decision making process The results of the analysis indicate a very high demand for the waterbodies data visualization in NAHRIM that holds waterbodies data for Malaysia to help the decision making process.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Alenxandru, T.: Data Visualization Principles and Practice. CRC Press Taylor & Francis Group, Boca Raton (1994)
Khan, M., Khan, S.S.: Data and information visualization methods, and interactive mechanisms: a survey. Int. J. Comput. Appl. 34, 1–14 (2011)
Wang, C., Yu, H., Ma, K., Member, S.: Importance-driven time-varying data visualization. IEEE Trans. Vis. Comput. Graph. 14, 1547–1554 (2008)
Muller, W., Schumann, H.: Visualization methods for time-dependent data - an overview. In: Proceedings of the 2003 Winter Simulation Conference, pp. 737–745. IEEE (2003)
Silva, S.F., Catarci, T., La, R.: Visualization of linear time-oriented data: a survey. In: Proceedings of the First International Conference on Web Information Systems Engineering, pp. 310–319 (2000)
Choy, J., Chawla, V., Whitman, L.: Data visualization techniques: from basics to big data with SAS visual analytics [White paper], SAS, Cary, NC (2012). http://www.sas.com/offices/NA/canada/downloads/IT-World2013/DataVisualization-Techniques.pdf
Giles, J.: The Principle of Good Data Management. ODPM Publications, Wetherby (2005)
The Pennsylvania State University Library. https://www.libraries.psu.edu/psul/home.html
BeyeNetwork Global Coverage of the Business Intelligence Ecosystem. http://www.b-eye-network.com/
Krosnick, J. A., Presser, S.: Questionnaire design. In: Wright, J.D., Marsden, P.V. (eds.) Handbook of Survey Research (Second Edition), Emerald Group, West Yorkshire, England (2010)
Piaw, C.Y.: Kaedah dan statistik penyelidikan Buku 3 Asas Statistik Penyelidikan Analisis Data Skala Ordinal dan Skala Nominal. Mc Graw Hill, Kuala Lumpur (2008)
Vagias, W.: Likert-type scale response anchors, pp. 3–4. Clemson International Institute for Tourism & Research Development (2006)
Revilla, M.A., Saris, W.E., Krosnick, J.A.: Choosing the number of categories in agree-disagree scales. Sociol. Methods Res. 43, 73–97 (2013)
Piaw, C.Y.: Kaedah dan Statistik Penyelidikan Buku 1. Mc Graw Hill, Kuala Lumpur (2014)
Odiri, O.E.: Self-efficacy and performance among mathematics’ diploma students of Delta State University, Abraka, Nigeria. J. Sociol. Psychol. Anthropol. Pract. 2, 108–112 (2010)
Al-Tarawneh, H.A.: The main factors beyond decision making. J. Manage. Res. 4, 1–23 (2011)
Sarkar, S.K., Begum, R.A., Pereira, J.J., Jaafar, A.H., Saari, M.Y.: Impacts of and adaptations to sea level rise in Malaysia. Asian J. Water Environ. Pollut. 11, 2014 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Zulkifli, H., Kadir, R.A., Nayan, N.M. (2015). Initial User Requirement Analysis for Waterbodies Data Visualization. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2015. Lecture Notes in Computer Science(), vol 9429. Springer, Cham. https://doi.org/10.1007/978-3-319-25939-0_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-25939-0_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25938-3
Online ISBN: 978-3-319-25939-0
eBook Packages: Computer ScienceComputer Science (R0)