Selecting the most appropriate software package for project purposes and developing GIS systems up to establishing spatial data infrastructure, is one of main efforts in project preparation and commencement phases. Correct selection means the right way for developing a dataset and data infrastructure, lower costs for software purchasing and maintenance, reducing budgets for data development and updating systems, harmonisation of data at national and regional level, the use of latest information technology, adopting applications with the available system and hardware requirements of the technology of the organisation, and getting better support from software providers and developers, etc. The objective of this paper is to introduce the methodology utilised for selecting the most appropriate GIS software for developing a GIS application about one year ago. All data in the eight tables represent are real data, which compare eight different software packages. Names of software are not given in this paper, to avoid any conflict of interest and indirect positive/negative marketing of software which were used in our research. The methodology for the analyses contains eight tables, with eight different topics which are directly related to cost benefit analyses, types of software support by providers and developers, difficulties in developing, using and upgrading GIS applications, system and hardware requirements, and development languages. From the analyses performed, data in three tables (system requirements, hardware specification and development languages) did not show significant differences between different GIS software, so they were excluded from further analysis to select the most appropriate GIS software. Therefore another five criteria have been used as reference data with these variables and weights: server license price with five year regular upgrade 40%, desktop price with five year regular upgrade 15%, application development price 25%, support 10% and running/development difficulties 10%. Owing to large differences in price, the main challenge in the analyses was selecting between commercial software and free and open source software (FOSS). Apart from very big differences in price for the software licenses (from 249 250€ to 0€), one commercial software package scored 64 points, while both FOSS scored 66 points. This result shows very clearly that while FOSS is software is free, the difficulties for application development and infrastructure support are greater than for commercial software. The methodology defined in this paper should be taken into consideration as a basic platform for selecting the most appropriate GIS software for project purposes. Based on specific requirements of GIS projects, this line of analyses should be extended, in order to fulfil the project specifications and expectations.
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