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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811980/ https://www.ncbi.nlm.nih.gov/pubmed/31667270 http://dx.doi.org/10.1016/j.dib.2019.104507 |
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author | Kulawiak, Marcin |
author_facet | Kulawiak, Marcin |
author_sort | Kulawiak, Marcin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6811980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68119802019-10-30 Client-side versus server-side geographic data processing performance comparison: Data and code Kulawiak, Marcin Data Brief Earth and Planetary Science 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. Elsevier 2019-09-13 /pmc/articles/PMC6811980/ /pubmed/31667270 http://dx.doi.org/10.1016/j.dib.2019.104507 Text en © 2019 The Author http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Earth and Planetary Science Kulawiak, Marcin Client-side versus server-side geographic data processing performance comparison: Data and code |
title | Client-side versus server-side geographic data processing performance comparison: Data and code |
title_full | Client-side versus server-side geographic data processing performance comparison: Data and code |
title_fullStr | Client-side versus server-side geographic data processing performance comparison: Data and code |
title_full_unstemmed | Client-side versus server-side geographic data processing performance comparison: Data and code |
title_short | Client-side versus server-side geographic data processing performance comparison: Data and code |
title_sort | client-side versus server-side geographic data processing performance comparison: data and code |
topic | Earth and Planetary Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811980/ https://www.ncbi.nlm.nih.gov/pubmed/31667270 http://dx.doi.org/10.1016/j.dib.2019.104507 |
work_keys_str_mv | AT kulawiakmarcin clientsideversusserversidegeographicdataprocessingperformancecomparisondataandcode |