A Review of Geospatial Data Analysis and Visualization Using Machine Learning

Currently, machine learning, including artificial neural networks of different architectures and support vector machines, provides extremely important tools for analyzing, processing and visualizing geo and intelligent environmental data. Machine learning represents an important complement to traditional techniques, such as geostatistics. In this article, we present a review of several applications from the last period of using machine learning for geospatial data: regional classification of environmental data, continuous mapping, environmental data, and pollution, including the use of automated algorithms, optimization of monitoring networks.