apdt
Project description
Air Pollution Data Toolbox
apdt is air pollution research toolkit that helps you:
- Deal with different data source, e.g., national monitoring station, mobile sensory system, meteorological observations, etc;
- Common data process, e.g., spatio-temporal interpolation, filtering, high-dimensional signal processing, etc;
- Common data analysis, e.g., causal analysis, event analysis, pattern mining, etc;
- Rich visualization charts, e.g., curves, maps, dynamic evolution, etc;
- Deep learning interface, e.g., data set division, common model building, training process processing, etc;
We are committed to the following goals:
- The consistence of data structure;
- The high reusability;
- It covers common needs of data analysis and academic research under the topic of air pollution;
- High efficiency, parallel support for large-scale data processing;
apdt是一个用于空气污染数据研究的工具包,使用它可以方便地:
- 处理不同格式的数据源,例如国控站、移动监测系统、气象观测等;
- 进行常见的数据处理,例如时空插值、滤波、高维信号处理等;
- 进行常见的数据分析,例如因果相关性、事件分析、模式挖掘等;
- 丰富的可视化图表,例如曲线、地图、动态演变等;
- 优雅调参深度学习,帮你完成数据集划分、常见模型的搭建、训练过程的处理等;
我们致力于实现以下目标:
- 数据结构的统一性;
- 方法的高度可复用性;
- 广泛性,在空气污染话题下覆盖数据分析和学术研究的需求;
- 高效率,并行支持大规模数据处理;
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