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Focus maps: a means of prioritizing data collection for efficient geo-risk assessment

机译:焦点图:一种优先进行数据收集以进行有效的地质风险评估的方法

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? Efficient Disaster Risk Reduction (DRR) management constantly calls upon high-quality information to be collected or updated for vulnerability monitoring and risk assessment. This process is often resource- and time-intensive, which many economically developing states (including most Central Asian countries) can seldom afford. In this paper, we introduce the concept of focus maps as a useful tool to quantify the spatial probability of sampling. Focus maps allow for a data collection prioritization scheme to be put in place, enabling the realization of optimized spatial sampling which assigns a higher priority to locations where the need for high-quality information is greater. In practice, smaller samples can be drawn with the same (or better) resulting accuracy of the estimates, resulting in a more efficient use of time and resources. The factors that affect such a spatial sampling scheme include the usual components of risk assessment (hazard, exposure, vulnerability) where available, as well as other potentially critical factors, such as the extent and quality of previously collected data. The practical application of the proposed approach to the case of Central Asia will be exemplified and discussed.
机译:?有效的减少灾害风险(DRR)管理不断要求收集或更新高质量的信息,以进行漏洞监视和风险评估。这个过程通常是资源和时间密集的,许多经济发展中的国家(包括大多数中亚国家)很少能负担得起。在本文中,我们介绍了聚焦图的概念,将其作为量化采样空间概率的有用工具。焦点图允许采用数据收集优先级排序方案,从而实现优化的空间采样,从而为需要更多高质量信息的位置分配更高的优先级。实际上,可以以相同(或更优)的估计准确度绘制较小的样本,从而更有效地利用时间和资源。影响这种空间采样方案的因素包括可用的风险评估的常规组成部分(危害,暴露,脆弱性),以及其他潜在的关键因素,例如先前收集的数据的范围和质量。本文将举例说明并讨论所提出的方法在中亚地区的实际应用。

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