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 Marcin; Dawidowicz Agnieszka; Pacholczyk Marek Emanuel

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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

机译：使用来自OSM和geoportal的开放数据，以JTS和JSTS为例分析服务器端和客户端Web-GIS数据处理方法

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摘要

The last decade has seen a rapid evolution of processing, analysis and visualization of freely available geographic data using Open Source Web-GIS. In the beginning, Web-based Geographic Information Systems employed a thick-client approach which required installation of platform-specific browser plugins. Later on, research focus shifted to platform-independent thin client solutions in which data processing and analysis was performed by the server machine. More recently, however, the rapid development of computer hardware as well as software technologies such has HTML5 has enabled the creation of platform-independent thick clients which offer advanced GIS functionalities such as geoprocessing. This article aims to analyse the current state of Open Source technologies and publicly available geographic data sources in the context of creating cost-effective Web-GIS applications for integration and processing of spatial data. For this purpose the article discusses the availability and potential of Web-GIS architectures, software libraries and data sources. The analysis of freely available data sources includes a discussion of the quality and accuracy of crowd-sourced as well as public sector data, while the investigation of software libraries and architectures involves a comparison of server-side and client-side data processing performance under a set of real-world scenarios. The article concludes with a discussion of the choice of cost-effective Web-GIS architectures, software libraries and data sources in the context of the institution and environment of system deployment.

机译：在过去的十年中，使用开放源Web-GIS对可免费获取的地理数据进行处理，分析和可视化的快速发展。最初，基于Web的地理信息系统采用胖客户端方法，该方法需要安装特定于平台的浏览器插件。后来，研究重点转移到了与平台无关的瘦客户端解决方案，其中由服务器计算机执行数据处理和分析。但是，最近，计算机硬件以及HTML5等软件技术的飞速发展，使得能够创建独立于平台的胖客户端，该胖客户端提供高级GIS功能（如地理处理）。本文旨在在创建具有成本效益的Web-GIS应用程序以集成和处理空间数据的背景下，分析开放源技术和可公开获得的地理数据源的现状。为此，本文讨论了Web-GIS体系结构，软件库和数据源的可用性和潜力。免费提供的数据源的分析包括对众包数据以及公共部门数据的质量和准确性的讨论，而对软件库和体系结构的调查涉及对服务器端和客户端数据处理性能的比较。一组真实的场景。本文最后讨论了在系统部署的机构和环境中如何选择具有成本效益的Web-GIS架构，软件库和数据源。

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《Computers & geosciences》 |2019年第8期|26-37|共12页
作者
Kulawiak Marcin; Dawidowicz Agnieszka; Pacholczyk Marek Emanuel;
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作者单位

Gdansk Univ Technol, Fac Elect Telecommun & Informat, Dept Geoinformat, Gdansk, Poland;

Univ Warmia & Mazury, Fac Geodesy Geospatial & Civil Engn, Inst Geog & Land Management, Olsztyn, Poland;

Univ Warmia & Mazury, Fac Geodesy Geospatial & Civil Engn, Inst Geog & Land Management, Olsztyn, Poland;

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原文格式 PDF
正文语种 eng
中图分类
关键词
OpenStreetMap; Geoprocessing; Web-GIS; Performance; JTS; Architecture;

机译：OpenStreetMap;地理处理;Web-GIS;性能;JTS;体系结构;

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1. 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 [J] . Kulawiak Marcin, Dawidowicz Agnieszka, Pacholczyk Marek Emanuel Computers & geosciences . 2019,第Auga期

机译：使用OSM和Geoportal的开放数据对JTS和JST的示例的服务器端和客户端Web-GIS数据处理方法分析
2. Client-side versus server-side geographic data processing performance comparison: Data and code [J] . Marcin Kulawiak Data in Brief . 2019,第1期

机译：客户端与服务器端地理数据处理性能比较：数据和代码
3. Client-side versus server-side geographic data processing performance comparison: Data and code [J] . Marcin Kulawiak Data in Brief . 2019,第1期

机译：客户端与服务器端地理数据处理性能比较：数据和代码
4. Acceleration of Server-side Image Processing by Client-side Pre-processing in Web Application Environment [C] . Lubos Juranek, Jiri Stastny, Vladislav Skorpil, International Conference on Telecommunications and Signal Processing . 2019

机译：Web应用程序环境中通过客户端预处理来加速服务器端图像处理
5. Scaling the Technology Opportunity Analysis text data mining methodology: Data extraction, cleaning, online analytical processing analysis, and reporting of large multi-source datasets. [D] . George, Richard Peyton. 2006

机译：扩展技术机会分析文本数据挖掘方法：数据提取，清理，在线分析处理分析以及大型多源数据集的报告。
6. Client-side versus server-side geographic data processing performance comparison: Data and code [O] . Marcin Kulawiak 2019

机译：客户端与服务器端地理数据处理性能比较：数据和代码
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

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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

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