Geo-WC:为地球科学组织和机构定制的web组件

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Sümeyye Kaynak, Baran Kaynak, Carlos Erazo Ramirez, Ibrahim Demir
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引用次数: 0

摘要

网络技术的发展及其与各个领域的融合,使得数据驱动的决策和公共数据可访问性进入了一个新时代,特别是通过采用政府机构提供的环境资源监测和量化。网络技术的使用使得创建可以被广泛用户群访问和使用的应用程序成为可能。然而,处理环境数据和非标准数据格式的复杂性仍然是一个阻碍问题。为了克服这些挑战并从不同的机构获取最新的信息,我们提出了Geo-WC:一个专门为地球和环境科学设计的网络组件框架,作为跨各个科学领域的桥梁。Geo-WC采用一种开发人员友好的方法,通过简单的HTML声明性语法将数据汇集到一个界面中,该界面易于开发人员使用,使不同技能水平的用户都可以访问。该框架集成了广泛使用的web技术,促进了客户端数据分析、可视化和web浏览器内的可访问性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geo-WC: Custom web components for earth science organizations and agencies
The development of web technologies and their integration into various fields has allowed a new era in data-driven decision-making and public data accessibility, especially through their adoption of monitoring and quantification environmental resources provided by governmental institutions. The use of web technologies has made it possible to create applications that can be accessed and used by a wide user base. However, dealing with the complexity of environmental data and non-standard data formats remains a hindering issue. To overcome these challenges and obtain up-to-date information from different institutions, we present Geo-WC: a web component framework specifically designed for earth and environmental sciences, serving as a bridge across various scientific domains. The Geo-WC utilizes a developer-friendly approach through simple HTML declarative syntax to bring together data in a single interface that is easy for developers to work with, making it accessible to users of varying skill levels. The framework integrates widely used web technologies, facilitating client-side data analysis, visualization, and accessibility within web browsers.
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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