为可持续发展目标和仙台框架服务的地理信息、公民科学和机器学习志愿者

Q1 Multidisciplinary

Citizen Science Theory and Practice Pub Date : 2023-01-01 DOI:10.5334/cstp.568

Vyron Antoniou

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引用次数: 0

摘要

本文主要关注解决全球问题的两个突出努力，即联合国可持续发展目标(SDGs)和仙台框架(SF)。为了实现这些倡议所追求的目标或观察和衡量其有效性和进展，需要准确和最新的资料。这些信息的一个重要组成部分是地理信息(GI)。地理标志是跨越全球的基本支撑元素，捕捉时间

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Volunteered Geographic Information, Citizen Science and Machine Learning in the Service of Sustainable Development Goals and the Sendai Framework

This paper focuses on two prominent efforts tackling global problems, namely the UN Sustainable Development Goals (SDGs) and the Sendai Framework (SF). To achieve the aims sought by these initiatives or to observe and measure their effectiveness and progress, accurate and up-to-date information is needed. An important part of this information refers to geographic information (GI). GI is the fundamental underpinning element that spans the globe, captures time

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来源期刊

Citizen Science Theory and Practice Multidisciplinary-Multidisciplinary

CiteScore

4.70

自引率

0.00%

发文量

审稿时长

45 weeks