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所在平台: Udemy |
课程主页: https://www.udemy.com/course/spatial-prediction-in-gis-using-arcgis-and-excel-only/
课程评论：没有评论
课程名称：如何在GIS中使用ArcGIS和Excel制作预测地图？ 课程概述：自20世纪80年代末以来，广泛使用的地理信息系统（GIS）促进了新型机器学习、数据驱动和实证方法的发展，从而减少了概括错误。本课程分享了一种著名且稳固的双变量技术（频率比），帮助您使用ArcMap和Excel开始制作您的第一张预测地图。2019年3月更新：课程的完整数据已上传至第二部分。我将解释预测因子与依赖因子之间的空间相关性，以及如何发现预测因子之间的自相关，考虑其预测重要性或贡献。最后，我将使用Microsoft Excel和ESRI ArcGIS制作敏感性地图。模型预测验证将通过最常用的统计方法“曲线下面积（AUC）”进行测量。
Since the late 1980s, the widely popular and efficient geographic information system (GIS) has facilitated the development of new machine learning, data-driven, and empirical methods that reduce generalization errors. In the this course, i have shared a famous and solid bivariate technique (Frequency ratio), to help you start your first prediction map using ArcMap and Excel only.UPDATES March 2019: Course full data was uploaded with Section 2. I will explain the spatial correlation between; prediction factors, and the dependent factor. Also, how to find the autocorrelations between; the prediction factors, by considering their prediction importance or contribution. Finally, I will Produce susceptibility map using; Microsoft Excel and ESRI ArcGIS only. Model prediction validation will be measured by most common statistical method of Area under the curve (AUC).
