Data for "Mapping dynamic human sentiments of heat exposure with location-based social media data"

This dataset contains all the datasets used in the study conducted for the research publication titled "Mapping dynamic human sentiments of heat exposure with location-based social media data". This paper develops a cyberGIS framework to analyze and visualize human sentiments of heat exposure dynamically based on near real-time location-based social media (LBSM) data. Large volumes and low-cost LBSM data, together with a content analysis algorithm based on natural language processing are used effectively to generate heat exposure maps from human sentiments on social media. ## What’s inside - A quick explanation of the components of the zip file * US folder includes the shapefile corresponding to the United State with County as spatial unit * Census_tract folder includes the shapefile corresponding to the Cook County with census tract as spatial unit * data/data.txt includes instruction to retrieve the sample data either from Keeling or figshare * geo/data20000.txt is the heat dictionary created in this paper, please refer to the corresponding publication to see the data creation process Jupyter notebook and code attached to this publication can be found at: https://github.com/cybergis/real_time_heat_exposure_with_LBSMD

本数据集囊括了用于研究出版物《基于位置社交媒体数据映射热暴露的动态人类情感》所进行的调查的全部数据集。该论文构建了一个网络地理信息系统（cyberGIS）框架，用以动态分析和可视化基于近实时位置社交媒体（LBSM）数据的人类热暴露情感。大量且低成本的位置社交媒体数据，结合基于自然语言处理的内容分析算法，有效地从社交媒体中的人类情感生成热暴露地图。

## 数据内容概览 - 对ZIP文件组件的简要说明
* 美国文件夹包含与美利坚合众国对应的shapefile，以县为空间单位。
* 人口普查区文件夹包含与库克县对应的shapefile，以人口普查区为空间单位。
* data/data.txt文件包含从Keeling或figshare检索样本数据的说明。
* geo/data20000.txt是本论文中创建的热度词典，请参阅相应的出版物以了解数据创建过程。
Jupyter笔记本和代码可在此出版物中找到：https://github.com/cybergis/real_time_heat_exposure_with_LBSMD