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Exploratory Spatial Analysis of Illegal Oil Discharges Detected off Canada's Pacific Coast

机译:在加拿大太平洋沿岸发现的非法排油的探索性空间分析

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In order to identify a model that best predicts spatial patterns it is necessary to first explore the spatial properties of the data that will be included in a predictive model. Exploratory analyses help determine whether or not important statistical assumptions are met, and potentially lead to the definition of spatial patterns that might exist in the data. Here, we present results from exploratory analyses based on data describing illegal oil spills detected by the National Aerial Surveillance Program (NASP) in Canada's Pacific Region, and marine vessel traffic, the possible source of these oil discharges. We identify and describe spatial properties of the oil spills, surveillance flights and marine traffic, to ultimately identify the most suitable predictive model to map areas where these events are more likely to occur.
机译:为了确定最能预测空间模式的模型,有必要首先探索将包含在预测模型中的数据的空间特性。探索性分析有助于确定是否满足重要的统计假设,并有可能导致定义数据中可能存在的空间模式。在这里,我们根据数据进行探索性分析,这些数据描述了加拿大太平洋地区国家空中监视计划(NASP)检测到的非法溢油以及海上船舶交通(这些溢油的可能来源)。我们确定并描述了溢油,侦察飞行和海上交通的空间特性,最终确定了最合适的预测模型,以绘制出更可能发生这些事件的区域。

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