Client-side versus server-side geographic data processing performance comparison: Data and code

被引:2
作者
Kulawiak, Marcin [1 ]
机构
[1] Gdansk Univ Technol, Fac Elect Telecommun & Informat, Dept Geoinformat, Gdansk, Poland
关键词
Geoprocessing; Performance; Scalability; GIS; Web;
D O I
10.1016/j.dib.2019.104507
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The data and code presented in this article are related to the research article entitled "Analysis of Server-side and Client-side Web-GIS data processing methods on the example of JTS and JSTS using open data from OSM and Geoportal" (Kulawiak et al., 2019). The provided 12 datasets include multi-point and multipolygon data of different scales and volumes, representing real-world geographic features. The datasets cover the area of Tricity in northern Poland as well as Polish Exclusive Economic Zone of the Baltic Sea. They have been converted to a common Spherical Mercator projection coordinate system (EPSG:3857) and consist of vector features without attributes. They are provided in the form of single GeoJSON files containing multi-feature objects which can be processed by client-side as well as server-side algorithms in a single request. The provided javascript code exemplifies the application of those datasets for measurement of client-side and server-side geoprocessing performance by using algorithms implemented as part of Java Topology Suite (JTS) and Javascript Topology Suite (JSTS). The combination of data and code samples constitutes a universal benchmark for investigative analysis of geographic data processing algorithms and their implementations in different software system architectures. (c) 2019 The Author. Published by Elsevier Inc.
引用
收藏
页数:6
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Kulawiak, Marcin ;
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COMPUTERS & GEOSCIENCES, 2019, 129 :26-37