Client-side versus server-side geographic data processing performance comparison: Data and code
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-poi...
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| Veröffentlicht in: | Data in brief Jg. 26; S. 104507 |
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| Format: | Journal Article |
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01.10.2019
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| Abstract | 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 multi-polygon 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. |
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| AbstractList | 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 multi-polygon 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. 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 multi-polygon 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. Keywords: Geoprocessing, Performance, Scalability, GIS, Web 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 multi-polygon 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. 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 multi-polygon 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.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 multi-polygon 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. |
| ArticleNumber | 104507 |
| Author | Kulawiak, Marcin |
| AuthorAffiliation | Department of Geoinformatics, Faculty of Electronics, Telecommunication and Informatics, Gdansk University of Technology, Poland |
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| References | CODGIK (bib4) 2017 Geofabrik GmbH (bib3) 2017 Java Topology suite (bib7) 2017 Kulawiak, Dawidowicz, Pacholczyk (bib1) 2019; 129 Open Database License (ODbL). Available at HELCOM (bib5) 2017 Harrtell (bib6) 2017 [Accessed on 07.08.2019]. 10.1016/j.dib.2019.104507_bib2 Geofabrik GmbH (10.1016/j.dib.2019.104507_bib3) 2017 CODGIK (10.1016/j.dib.2019.104507_bib4) 2017 Harrtell (10.1016/j.dib.2019.104507_bib6) 2017 HELCOM (10.1016/j.dib.2019.104507_bib5) 2017 Java Topology suite (10.1016/j.dib.2019.104507_bib7) Kulawiak (10.1016/j.dib.2019.104507_bib1) 2019; 129 |
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| Title | Client-side versus server-side geographic data processing performance comparison: Data and code |
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