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Quantitative gap analysis for the West Coast of Florida based on experts’ opinion

机译:基于专家意见的佛罗里达西海岸定量缺口分析

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摘要

The primary objective of this study was to identify gaps in coastal and marine data available through the Gulf Geospatial Assessment of Marine Ecosystems (GAME) project for the west coast of Florida. A survey was designed and sent to more than 2,000 experts working with coastal and ocean issues in the Gulf of Mexico to elicit their opinions. The survey asked the experts to rank 12 data categories and score the relevance of four qualifiers (spatial resolution, temporal resolution, age of data, and level of detail) using a discrete choice approach. The statistical interpretation of experts’ responses allowed assigning a relative value to each available data set, based upon their qualifiers. The results were then displayed in a Geographic Information System to visually show how the total value for all data categories or for a specific data category varies spatially and to identify data gaps. It was found that the total data set value is generally higher within Tampa Bay and along the coast. Areas with low total value show a lack of data sets that have qualifiers falling within the ideal range, as per experts’ opinions. The gap maps created for this project are useful to identify priority areas where money should be invested for future data collection.
机译:这项研究的主要目的是通过佛罗里达西海岸的海湾生态系统海湾地理空间评估(GAME)项目,找出沿海和海洋数据中的空白。设计了一项调查,并发送给了2,000多名研究墨西哥湾沿岸和海洋问题的专家,以征求他们的意见。该调查要求专家使用离散选择方法对12个数据类别进行排名,并对四个限定词(空间分辨率,时间分辨率,数据使用年限和详细程度)的相关性进行评分。专家回复的统计解释允许根据他们的限定词为每个可用数据集分配相对值。然后将结果显示在地理信息系统中,以可视方式显示所有数据类别或特定数据类别的总值在空间上如何变化并识别数据差距。结果发现,坦帕湾内和沿海地区的总数据集价值通常较高。根据专家的意见,总值低的区域缺少限定词在理想范围内的数据集。为该项目创建的差距图可用于确定优先领域,在这些领域中应该投资资金以用于将来的数据收集。

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