Applicability of open-source web mapping libraries for building massive Web GIS clients

Gábor Farkas ()
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Gábor Farkas: University of Pécs

Journal of Geographical Systems, 2017, vol. 19, issue 3, No 4, 273-295

Abstract: Abstract The increasing capabilities of web browsers and the growing spread of JavaScript have an impact on the development of web-based GIS systems. While in traditional Web GIS applications the client-side component is only responsible for creating representation models, modern geographically enabled JavaScript libraries have extended capabilities, making them capable of doing extensive tasks, like complex geographical analyses. This paper identifies the most capable libraries for being the basis of a Web GIS client (Cesium, Leaflet, NASA Web World Wind, OpenLayers 2, and OpenLayers 3) and compares them. The libraries are compared by their GIS feature coverage and some quality metrics. OpenLayers 3 is identified for being the most capable library by supporting nearly 60% of the examined GIS features, its small size, and moderate learning curve. For comparing the learning curves of JavaScript libraries, a new metric named Approximate Learning Curve for JavaScript is proposed, which is based on other software metrics.

Keywords: Approximate Learning Curve for Javascript; Client-side library; Comparison; Massive client; Software metrics; Web GIS (search for similar items in EconPapers)
JEL-codes: C44 C61 C88 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10109-017-0248-z

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