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The impact of raster file optimisation on the performance of a map application

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Interactive data visualisations are popular and come in different forms, from static raster files to dynamic and complex proposals. The usability of the applications can be increased through the improvement of their technical attributes such as a reduced number of external components or image file compression. The objective of the paper is to analyse the correlation between raster compression and the performance of a map application. The research involved an application created specifically for this purpose. Raster compression and performance were measured using selected online tools. Raster compression has been demonstrated to enhance map application performance, although not all performance indicators improved.
Rocznik
Tom
Strony
53--61
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
autor
  • Uniwersytet Rolniczy w Krakowie Katedra Gospodarki Przestrzennej i Architektury Krajobrazu al. Mickiewicza 24/28, 30-059 Kraków
  • Politechnika Ślaska w Gliwicach Wydział Organizacji i Zarządzania Katedra Ekonomii i Informatyki ul. Roosevelta 26, 41-800 Zabrze
Bibliografia
  • Aaron B. 2019. MouseWheel Extension jQuery Plugin. Version: 3.0.2. Dallas/Fort Worth. Texas USA. MIT License. http://brandonaaron.net [accessed: 24 January 2020].
  • Abel M. 2019. Mapbox: Zoomable jQuery Map Plugin. Wayfarer Web Services. Asheville, NC USA. MIT License. http://wayfarerweb.com/jquery/plugins/ [accessed: 24 January 2020].
  • Chaffey D., Patron M. 2012. From web analytics to digital marketing optimization: Increasing the commercial value of digital analytics. Journal of Direct, Data and Digital Marketing Practice, 14(1), 30–45. https://doi.org/10.1057/dddmp.2012.20
  • Chew L.W., Ang L.M., Seng K.P. 2008. Survey of image compression algorithms in wireless sensor networks. 2008 International Symposium on Information Technology, 4, 1–9. IEEE. https://doi.org/10.1109/ITSIM.2008.4631875
  • Cibulka D. 2013. Performance testing of web map services to three dimensions – x, y, scale. Slovak Journal of Civil Engineering, 21(1), 31–36. https://doi.org/10.2478/sjce-2013-0005
  • Goodchild M.F., Li L. 2012. Assuring the quality of volunteered geographic information. Spatial Statistics, 1, 110–120. https://doi.org/10.1016/j.spasta.2012.03.002
  • Król K. 2018. Performance threshold of the interactive raster map presentation – as illustrated with the example of the jQuery Java Script component. Geographic Information Systems Conference and Exhibition “GIS Odyssey”, 321–327. http://bit.ly/GIS-ODYSSEY-2018 [accessed: 24 January 2020].
  • Król K. 2019. Zoomlens – graphic form of data presentation on a web map, comparison of chosen tool and usage examples. Engineering for Rural Development, 18, 1641–1648. https://doi.org/10.22616/ERDev2019.18.N002
  • Król K., Bitner A. 2019. Impact of raster compression on the performance of a map application. Geomatics, Landmanagement and Landscape (GLL), 3, 41–51. http://dx.doi.org/10.15576/GLL/2019.3.41
  • Król K., Prus B. 2018. Application of interactive charts in the evaluation of socio-economic development of regions. The case of Poland. Acta Sci. Pol., ser. Formatio Circumiectus, 17(3), 141–151. https://doi.org/10.15576/ASP.FC/2018.17.3.141
  • Lofgren L. 2019. Website Speed Guide. QuickSprout. https://www.quicksprout.com/website-speed/ [accessed: 24 January 2020].
  • Nummi P., Tzoulas T. 2015. Engaging citizens in cultural planning with a web map survey. Culture and Local Governance, 5(1–2), 1–13. https://doi.org/10.18192/clg-cgl.v5i1-2.1470
  • Pispidikis I., Dimopoulou E. 2015. Web development of spatial content management system through the use of free and open-source technologies. Case study in rural areas. Journal of Geographic Information System, 7(5), 527–540. https://doi.org/10.4236/jgis.2015.75042
  • Pu I.M. 2006. Fundamental Data Compression. Elsevier, Butterworth-Heinemann, Britain. https://doi.org/10.1016/B978-0-7506-6310-6.X5000-4
  • Ramya K.A., Pushpa M. 2016. A survey on lossless and lossy data compression methods. International Journal of Computer Science and Engineering Communications, 4(1), 1277–1280. https://doi.org/10.7910/DVN/5VL6XP
  • Sack C.M., Roth R.E. 2017. Design and evaluation of an Open Web Platform cartography lab curriculum. Journal of Geography in Higher Education, 41(1), 1–23. https://doi.org/10.1080/03098265.2016.1241987
  • Singhal A., Cutts M. 2010. Using site speed in web search ranking. Google Webmaster Central Blog. https://goo.gl/sVusvY [accessed: 24 January 2020].
  • Skolka P., Staicu C.-A., Pradel M. 2019. Anything to Hide? Studying Minified and Obfuscated Code in the Web. Proceedings of the 2019 World Wide Web Conference (WWW ’19), May 13–17, 2019, San Francisco, CA, USA, eds. J.B. Sartor, Th. D’Hondt, W. De Meuter. ACM, New York, NY, USA. https://doi.org/10.1145/3308558.3313752
  • Sudhakar R., Karthiga R., Jayaraman S. 2005. Image compression using coding of wavelet coefficients – a survey. ICGST-GVIP Journal, 5(6), 25–38.
  • Uthayakumar J., Vengattaraman T., Dhavachelvan P. 2018. A survey on data compression techniques: From the perspective of data quality, coding schemes, data type and applica tions. Journal of King Saud University – Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2018.05.006
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f4274b88-5dbf-4669-8cad-0df096890ae9
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