The problem of a large volume of statistical data in regional environmental monitoring
The digital age has opened up new opportunities for data-driven research. This article discusses the problems of big data in environmental monitoring and analyzes the use of statistical methods to solve these problems to improve the quality of life in cities. This paper provides an overview of big data such as volume, speed, variety, value, and reliability. The paper also analyzes the problems associated with big data in the context of environmental monitoring at the city level and considers the use of statistical methods such as land use regression (LUR) and spatial simulation annealing (SSA) as two promising ways to solve big data problems.