Vayu: An Open-Source Toolbox for Visualization and Analysis of Crowd-Sourced Sensor Data

被引：4
作者：
Mahajan, Sachit [1 ]
机构：
[1] Swiss Fed Inst Technol, Dept Humanities Social & Polit Sci, Computat Social Sci, CH-8092 Zurich, Switzerland
来源：
SENSORS | 2021年 / 21卷 / 22期
基金：
欧洲研究理事会;
关键词：
open-source; air quality; data analysis; citizen data; AIR-QUALITY; CITIZEN SCIENCE; POLLUTION; NETWORKS; IMPACT; PM2.5;
D O I：
10.3390/s21227726
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
Recent advances in sensor technology and the availability of low-cost and low-power sensors have changed the air quality monitoring paradigm. These sensors are being widely used by scientists and citizens for monitoring air quality at finer spatial-temporal resolution. Such practices are opening up opportunities to enhance the traditional monitoring networks, but at the same time, these sensors are producing large data sets that can become overwhelming and challenging when it comes to the scientific tools and skills required to analyze the data. To address this challenge, an open-source, robust, and cross-platform sensor data analysis toolbox called Vayu is developed that allows researchers and citizens to do detailed and reproducible analyses of air quality data. Vayu combines the power of visualization and statistical analysis using a simple and intuitive graphical user interface. Additionally, it offers a comprehensive set of tools for systematic analysis such as data conversion, interpolation, aggregation, and prediction. Even though Vayu was developed with air quality research in mind, it can be used to analyze different kinds of time-series data.
引用
收藏
页数：11
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