Heron Island Satellite Imagery Classified Benthic Data and Coral Halo Analyses and Models

This dataset includes satellite imagery data from Heron Island, Australia downloaded from Google Earth Pro in 2023, with image from Maxar Technologies dated 2016 clipped to the shallow lagoon layer from the Allen Coral Atlas shape file classified into benthic categories: corals, algae and sand using a combination of unsupervised machine learning spectral classification and manual training and assignment of classes. We also include 2 notebooks with code used to generate figures and run analyses for data, geometric, and consumer-resource models for coral halo patterns supporting the work entitled, "Consumer-resource interactions reflected in coral halo patterns" by the authors listed. A knitted pdf for R Markdown file is also included.本数据集包含2023年从谷歌地球专业版（Google Earth Pro）下载的澳大利亚赫伦岛卫星影像数据。所用影像涵盖马克萨尔科技公司（Maxar Technologies）2016年拍摄的影像，该影像从艾伦珊瑚地图集（Allen Coral Atlas）的形状文件（shapefile）中裁剪得到浅泻湖图层，并通过无监督机器学习光谱分类（unsupervised machine learning spectral classification）与人工标注训练及类别分配相结合的方式，被划分为珊瑚、藻类、沙质底质三类底栖类别（benthic categories）。 我们还附带两份代码笔记本（notebooks），其中包含用于生成图表，以及针对珊瑚晕圈模式（coral halo patterns）相关的数据、几何模型与消费者-资源模型（consumer-resource models）开展分析的代码，以支撑题为"珊瑚晕圈模式所反映的消费者-资源交互作用"（"Consumer-resource interactions reflected in coral halo patterns"）的研究工作，作者信息见文末。此外还附带了由R Markdown文件渲染生成的PDF文档。