Data for "A graph neural network framework for spatial geodemographic classification"

This repository contains the geodemographic classifications obtained through different setups of our graph convolutional neural network framework for spatial geodemographic classification (forthcoming), along with three baseline models created using spatial fuzzy c-means and the London Output Area Classification by Singleton and Longley (2015).

Contains data from CDRC LOAC Geodata Pack by the ESRC Consumer Data Research Centre and data derived from data available from Chris Gale's repository. Contains National Statistics data Crown copyright and database right 2015.

References

Singleton A D, Longley P A (2015) The Internal Structure of Greater London: A Comparison of National and Regional Geodemographic Models. Geo: Geography and Environment. Available from: dx.doi.org/10.1002/geo2.7

本仓库包含了基于我们即将发表的用于空间地理人口分类的图卷积神经网络（Graph Convolutional Neural Network）框架的不同配置所得到的地理人口分类结果，以及三个基准模型：分别为采用空间模糊C均值（spatial fuzzy c-means）方法构建的模型，与Singleton及Longley（2015）提出的伦敦输出区域分类（London Output Area Classification）模型。

本数据集所用数据包含英国经济与社会研究委员会（ESRC）消费者数据研究中心发布的CDRC LOAC地理数据包中的内容，以及源自Chris Gale仓库的衍生数据。本数据集包含英国国家统计局相关数据，其版权与数据库权利归王室所有（2015年）。

参考文献

Singleton A D、Longley P A（2015）《大伦敦的内部结构：国家与区域地理人口模型的比较》，《Geo: Geography and Environment》，可通过dx.doi.org/10.1002/geo2.7获取。