搜索资源列表
Geographically-weighted
- 地理加权回归模型R语言代码,可用于空间统计计量经济模型-Geographically weighted regression model
Geographically_WeightedRegression_The_Analysis
- 针对广义的地理加权回归模型的参考资料和相关操作(Reference data for generalized geographically weighted regression models)
GWR4操作说明
- GWR能够实现地理加权回归计算,里面有GWR4操作说明,虽然是英文,但有图片介绍,很容易理解,是GWR模型入门的好工具,适合经济学、数据挖掘等人员使用(GWR can realize geographically weighted regression calculation, including GWR4 operation instructions. Although it is in English, it has picture
GWRST_Package
- 时空地理加权回归,模型加入时间维度信息,将时间信息和空间信息结合。(GWRST,compute spatial and temporal geographically weighted regression.)
gwr_models
- 此代码可以用于实现地理加权回归分析;包括普通的地理加权回归和贝叶斯地理加权回归;包含算法代码和应用实例的代码(Geographically weighted regression analysis)
Geographically Weighted Regression
- 黄波 时空地理加权回归 用matlab运行,P文件加密。(GWRST compute spatial and temporal geographically weighted regression)
GTWR_AddIn
- 时空地理加权回归 用ARCGIS运行,用于面板(GTWR compute spatial and temporal geographically weighted regression)
GTWR_AddIn
- 黄波教授发布的小插件,可以直接安装,在ARCGIS软件可以直接使用,方便快捷。可以进行地理加权回归分析GTW/时间加权回归分析TWR和时空地理加权回归分析GTWR(Professor Huang Bo's small plug-ins can be installed directly, and ARCGIS software can be used directly, which is convenient and fast. Geo
GTWR_Addins_Expired012021
- GTWR时空地理加权回归,解决了回归参数随空间位置的变化问题,另外加入了时间信息(Spatio-temporal and geographically weighted regression)