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Application of Geostatistical techniques to support data acquisition and predict maritime variables

机译:地统计技术在支持数据采集和预测海上变量的应用

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The effect of all human activities in marine and coastal ecosystems, including pollution, depleted fisheries, and marine biodiversity, is insufficiently assessed. As such, it is widely recognized that there is an evident lack of information which must be tackled immediately. Part of the problem should be addressed by increasing monitoring. However, considering the vast areas to cover and characterize, as well as the amount of information generated, innovative approaches are required to increase knowledge about the ecosystem variables and effectively support the decision process, so that a more sustainable exploitation of marine resources can be reached. Geostatistics may represent an interesting approach to use, since it is a probabilistic technique able to deal with the variables spatial behavior and their heterogeneities. This paper is dedicated to a review and critical analysis of the existing works which already include geostatistics prediction techniques in the analysis of maritime problems, in order to ascertain its potential and its relevance in the context of marine current challenges.
机译:所有人类活动在海洋和沿海生态系统中的影响,包括污染,耗尽的渔业和海洋生物多样性都不充分评估。因此,众所周知,有明显的缺乏信息必须立即解决。应通过增加监测来解决部分问题。然而,考虑到覆盖和表征的广阔领域以及所产生的信息量,需要创新的方法来增加关于生态系统变量的知识,并有效地支持决策过程,从而可以达到更可持续的海洋资源利用。地质学习可以代表一种有趣的使用方法,因为它是一种能够处理变量空间行为及其异质性的概率技术。本文致力于对现有作品的审查和关键分析,这些作品已经包括在海上问题分析中的地统计学预测技术,以确定其在海洋当前挑战背景下的潜力及其相关性。

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