ClimActor, harmonized transnational data on climate network participation by city and regional governments.
ClimActor, harmonized transnational data on climate network participation by city and regional governments.
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DOI：
10.1038/s41597-020-00682-0
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发表时间：
2020-11-06
期刊：
影响因子：
9.8
通讯作者：
Weinfurter A
中科院分区：
文献类型：
--
作者：
Hsu A;Yeo ZY;Rauber R;Sun J;Kim Y;Raghavan S;Chin N;Namdeo V;Weinfurter A
城市和区域越来越多地参与全球气候变化治理。它们承诺实现自己的气候减缓目标，并参加通常具有跨国性质并涉及数千个国家以下各级政府的成员网络。由于这种自我报告的数据的不同和不一致性，研究这些参与率不断增长的趋势是困难的。为了促进未来对这些参与者的分析，我们引入了ClimActor，这是全球最大的协调数据集，其中包括10，000多个城市和地区政府，这些政府参与了全球气候和能源市长公约，C40城市气候领导力，ICLEI地方领导者可持续发展等网络。我们包括每个参与者的人口，地理位置和行政管辖权的关键上下文信息，以促进消除行动或排放的潜在重叠。我们还在开源R包中提供了一系列基于语音和模糊字符串匹配算法的清理功能，以便任何人都可以轻松地立即使用ClimActor数据集和其他相关数据。描述报告数据的机器可访问元数据文件：10.6084/m9.figshare.12994214
Cities and regions have become increasingly engaged in global climate change governance. They are pledging their own climate mitigation targets and participating in membership networks that typically are transnational in nature and engage thousands of subnational governments. Researching these growing trends in participation has been difficult due to the disparate and inconsistent nature of this self-reported data. To facilitate future analyses of these actors, we introduce ClimActor, the largest harmonized global dataset of more than 10,000 city and regional governments participating in networks like the Global Covenant of Mayors for Climate and Energy, C40 Cities for Climate Leadership, ICLEI Local Leaders for Sustainability, among others. We include key contextual information on each actor’s population, geographic location, and administrative jurisdiction to facilitate disambiguation of potential overlaps in actions or emissions. We also provide a series of cleaning functions based on phonetic and fuzzy string matching algorithms within an open-source R package to make it easy for anyone to immediately use the ClimActor dataset with other relevant data. Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12994214
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DOI：
10.1016/j.gloenvcha.2012.07.005
发表时间：
2013-02
影响因子：
8.9
作者：
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通讯作者：
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影响因子：
2.6
作者：
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通讯作者：
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影响因子：
9
作者：
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影响因子：
11.7
作者：
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通讯作者：
Dallemand, Jean Francois
影响因子：
4.8
作者：
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通讯作者：
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