Data sets for the identification of a global typology for coastal urban vulnerability under rapid urbanization

Coastal areas are urbanizing at unprecedented rates, particularly in low- and middle-income countries. Combinations of long-standing and emerging problems in these urban areas generate vulnerability for human well-being and ecosystems alike. Based on the presented data sets a spatially explicit global systematization of these problems into typical urban vulnerability profiles can be derived for the year 2000 using largely sub-national data. We present here 11 indicator datasets for urban expansion, urban population growth, marginalization of poor populations, government effectiveness, exposures and damages to climate-related extreme events, low-lying settlement, and wetlands prevalence. Applying a standard k-means cluster analysis to this input data reveals a global typology of seven clearly distinguishable clusters, or urban profiles of vulnerability (for results see Sterzel et. al., 2019).

沿海地区正以前所未有的速度推进城市化，这一趋势在中低收入国家尤为显著。这些城市区域内长期存在与新兴问题相互交织，给人类福祉与生态系统均带来了脆弱性。基于本次呈现的数据集，辅以大量次国家级（sub-national）数据，可针对2000年完成全球尺度的空间显性（spatially explicit）系统归类，将上述问题提炼为典型城市脆弱性画像。本次研究共提供11项指标数据集，涵盖城市扩张、城市人口增长、贫困群体边缘化程度、政府治理效能、气候相关极端事件的暴露与损失、低洼聚居区分布以及湿地覆盖率。对该输入数据集执行标准k均值（k-means）聚类分析后，可得到包含7个界限清晰可辨集群的全球分类体系，即城市脆弱性画像（相关研究结果详见Sterzel等人2019年的成果）。