论文
arXiv
GeoAI
GIS
中文标题
社区人口普查与空间可视化指数(CCSVI)
English Title
The Community Census and Spatial Visualization Index (CCSVI)
Aaron McLean, Makena Coffman, Andy Yu, Scott Nicolas, Maja Schjervheim, Christopher Shuler, Johann Peter Lall, Sean Cleveland, Jason Leigh
发布时间
2026/4/20 04:10:52
来源类型
preprint
语言
en
摘要
中文对照

夏威夷的气候灾害在发生频率与严重程度上均呈上升趋势,对脆弱社区的影响各异。本文介绍了社区人口普查与空间可视化指数(Community Census and Spatial Visualization Index, CCSVI),这是一个基于网络的地理空间可视化平台,整合了气候灾害数据、社会经济数据及基础设施数据。该系统通过交互式地图与分层数据可视化,支持用户探究环境风险与社会脆弱性之间的关联。社会脆弱性数据与气候灾害数据通常分别采集,导致二者彼此割裂,难以直接整合分析;由于原始数据之间缺乏关联,进行直接比对与融合尤为困难,致使许多非专业用户难以理解数据。此外,现有诸多工具仅聚焦于其中一类数据,限制了其交互能力,亦未能带来实质性改进。CCSVI旨在弥补夏威夷州范围内缺乏可及、统一且交互式系统以分析气候灾害与社会脆弱性关系的不足,从而协助决策者、研究人员及社区成员识别高风险人群、提升防灾备灾能力,并制定基于证据的气候适应策略。

English Original

Climate hazards in Hawai'i are increasing in both frequency and severity, with varying impacts over vulnerable communities. This paper presents the Community Census and Spatial Visualization Index (CCSVI), a web-based geospatial visualization platform that integrates climate hazard data with socioeconomic and infrastructural datasets. This system enables users to explore the correlation between environmental risks and social vulnerability through interactive mapping and layered data visualizations. Social vulnerability and climate hazard data are commonly collected individually, this causes the data to be disjointed making it difficult to combine and analyze directly. With data being unrelated when collected, finding direct comparisons and combining the data is difficult resulting in many non-expert users to not understand the data. Additionally, many existing tools focus on only one of these types of data, limiting their interactivity and failing to make any improvements. CCSVI aims to handle the lack of accessible, unified, and interactive systems analyzing the relationship between climate hazards and social vulnerabilities across the state of Hawai'i. This support favors assisting decision-makers, researchers, and community members in identifying at-risk populations, improving disaster preparedness, and creating informed climate adaptation strategies.

元数据
arXiv2604.17598v1
来源arXiv
类型论文
抽取状态raw
关键词
GeoAI
GIS
cs.SI