A Comparison of GIS Packages for Geospatial Data Pre-processing

Ahmed Ndanusa, Zulkhairi B. Md Dahalin, Azman Ta’a


This paper aims to assess the choice of geographic information systems (GIS) used in pre-process geospatial data sets. The study conducted a comparative review of some of the commonly used GIS packages with the aim of proposing the most reliable in terms of consistency, functionality, user-friendliness and cost-effectiveness, which are the determinants in adopting any GIS packages. By this systematic assessment, both the current and potential users will be able to take full advantage of the most efficient GIS package to perform various analytical pre-processing tasks. The outcome of the assessment could be adopted as a guide for selecting an appropriate and reliable open source GIS platform for a timely and efficient pre-preprocessing geospatial data for environmental analysis.


Data Analysis, Geospatial Data Pre-processing, GIS Software

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Aronoff, S. (1989). Geographic information systems: A management perspective. Ottawa, Canada: WDL Publications.

Bernhardsen, T. (2002). Geographic information systems: an introduction. Milton,Australia: John Wiley & Sons.

Clarke, K. C. (1997). Getting started with geographic information systems. Upper Saddle River, NJ: Prentice Hall.

Collier, K., Carey, B., Sautter, D., & Marjaniemi, C. (1999). A methodology for evaluating and selecting data mining software. In proceedings of the 32nd Annual Hawaii International Conference on. System Sciences (pp. 11). Washington, DC: IEEE Computer Society

Eldrandaly, K., & Naguib, S. (2013). A knowledge-based system for GIS software selection. Arab Journal of Information Technology, 10(2), 152–159.

Fotheringham, S., & Rogerson, P. (2013). Spatial analysis and GIS. Boca Raton, Florida: CRC Press.

Haklay, M., & Jones, C. E. (2008). Usability and GIS-why your boss should buy you a larger monitor. In Proceeding of AGI GeoCommunity '08 (pp. 1-11). London, UK: UCL Press.

Keil, M., & Tiwana, A. (2006). Relative importance of evaluation criteria for enterprise systems: A conjoint study. Information Systems Journal, 16(3), 237-262.

Maguire, D. J., Rhind, D. W., Goodchild, M., & Longley, P. A. (2010). Geographic information systems and science. Minneapolis MN: John Wiley & Sons.

Merry, K., Bettinger, P., Grebner, D. L., Boston, K., & Siry, J. (2016). Assessment of geographic information system skills employed by graduates from three forestry programs in the United States. Forests, 7(12), 304-315.

Neteler, M., Bowman, M. H., Landa, M., & Metz, M. (2012). GRASS GIS: A multi-purpose open source GIS. Environmental Modelling and Software, 31(1), 124–130.

Ngai, E. W., & Chan, E. W. C. (2005). Evaluation of knowledge management tools using AHP. Expert systems with applications, 29(4), 889-899.

Ramamurthy, M., & Ho, Y. (2014). Integrated Data Viewer. In EGU General Assembly Conference Abstracts (Vol. 16). Vienna, Austria: EGU General Assembly Online Press.

Ravi, L., Yan, Q., Dascalu, S. M., & Harris Jr, F. C. (2013, March). A survey of visualization techniques and tools for environmental data. In Proceedings of the 2013 Intl. Conference on Computers and their Applications (CATA 2013). Honolulu, Hawaii: International Society for Computers and Their Applications.

Singh, V., & Fiorentino, M. (2013). Geographical information systems in hydrology (Vol. 26). Berlin/Heidelberg, Germany: Springer Science & Business Media.


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