Stockard / Shanghai-COVID-2022
每日更新上海的疫情发展数据和新增地址数据
☆19Updated 2 years ago
Alternatives and similar repositories for Shanghai-COVID-2022:
Users that are interested in Shanghai-COVID-2022 are comparing it to the libraries listed below
- 针对新冠病毒疫情数据的清洗脚本和清洗后的数据,数据源使用 https://github.com/BlankerL/DXY-COVID-19-Data 的每日抓取数据☆94Updated 4 years ago
- Analysis of 2019-nCov coronavirus data☆117Updated 4 years ago
- COVID-19 infectious forecasting using SEIR model and R0 estimation☆65Updated 3 years ago
- 中国城市AQI数据(AQI Data of Cities in China)☆52Updated 3 years ago
- China county-level population data (census)☆82Updated last year
- 建模nCov传播情况☆57Updated 4 years ago
- 这个仓库存放(在模仿中精进数据可视化)系列文章代码及数据附件内容☆78Updated 3 years ago
- 百度迁徙数据爬虫☆38Updated 3 years ago
- Welcome to Glacier Data Project. A post-wuhan2020 project for data science☆150Updated 2 years ago
- The universal visitation law of human mobility (Nature)☆61Updated 2 years ago
- 为新型冠状病毒疫情收集各渠道资源☆29Updated 2 years ago
- COVID-19 open data in Shanghai☆121Updated 2 years ago
- 新增确诊新型冠状病毒肺炎统计数据(每日更新)☆162Updated 3 years ago
- 虾神的R语言Demo☆39Updated last year
- Predicting neighborhoods' socioeconomic attributes using restaurant data (PNAS)☆38Updated 5 years ago
- This project is to fetch data from the official Silverlight application of Ministry of Environmental Protection of China (http://106.37.2…☆36Updated 4 years ago
- 2019-nCoV 新冠状病毒 2019-12-01至今国家、省、市三级每日统计数据(支持接口读取)☆507Updated 4 years ago
- NOAA - Weather Analysis☆44Updated 5 years ago
- 《计算社会科学》课程☆22Updated 5 months ago
- 一个通用的确定性预报准确率测评工具包☆28Updated 2 weeks ago
- SIR and SEIR model fitting for 2019-nCoV.☆42Updated 4 years ago
- COVID-19 related virus data, environmental data and policy data☆58Updated 2 years ago
- 👩🏻⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)☆243Updated last year
- Policy Change Index for China (PCI-China)☆184Updated 3 months ago
- 百度迁徙爬虫☆13Updated 4 years ago
- Exposure indices derived from PlaceIQ movement data by Couture, Dingel, Green, Handbury, and Williams☆153Updated 3 years ago
- 北航大数据高精尖中心研究团队进行数据来源的整理与获取,利用自然语言处理等技术从已公开全国4626确诊患者轨迹中抽取了基本信息(性别、年龄、常住地、工作、武汉/湖北接触史等)、轨迹(时间、地点、交通工具、事件)及病患关系形成结构化信息☆83Updated 4 years ago
- plot_map包提供了在matplotlib上绘制地图底图的功能☆55Updated 2 years ago
- Collects officially published daily stats for the corona-virus (China only) 收集新冠状病毒中国每日疫情数据,精确到地级☆29Updated 4 years ago