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Legacy Data: How Decades of Seabed Sampling Can Produce Robust Predictions and Versatile Products

机译：遗留数据：数十年的海床采样如何产生可靠的预测和通用产品

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Sediment maps developed from categorical data are widely applied to support marine spatial planning across various fields. However, deriving maps independently of sediment classification potentially improves our understanding of environmental gradients and reduces issues of harmonising data across jurisdictional boundaries. As the groundtruth samples are often measured for the fractions of mud, sand and gravel, this data can be utilised more effectively to produce quantitative maps of sediment composition. Using harmonised data products from a range of sources including the European Marine Observation and Data Network (EMODnet), spatial predictions of these three sediment fractions were generated for the north-west European continental shelf using the random forest algorithm. Once modelled these sediment fraction maps were classified using a range of schemes to show the versatility of such an approach, and spatial accuracy maps were generated to support their interpretation. The maps produced in this study are to date the highest resolution quantitative sediment composition maps that have been produced for a study area of this extent and are likely to be of interest for a wide range of applications such as ecological and biophysical studies.
机译：根据分类数据开发的泥沙图被广泛应用于支持各个领域的海洋空间规划。但是，独立于沉积物分类推导地图可能会改善我们对环境梯度的理解，并减少跨管辖边界统一数据的问题。由于经常测量地面样本中的泥，沙和砾石部分，因此可以更有效地利用此数据来生成沉积物成分的定量图。使用来自包括欧洲海洋观测和数据网络（EMODnet）在内的各种来源的协调数据产品，使用随机森林算法为西北欧洲大陆架生成了这三个沉积物组分的空间预测。一旦建立模型，这些沉积物分数图将使用一系列方案进行分类，以显示这种方法的多功能性，并生成空间精度图以支持其解释。迄今为止，本研究中生成的地图是针对该范围的研究区域制作的最高分辨率的定量沉积物成分图，并且可能在生态和生物物理研究等广泛的应用中引起关注。

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