Emerging Trends Techniques and Applications in Geospatial Data Science

With the emergence of smart technology and automated systems in today''s world big data is being incorporated into many applications. Trends in data can be detected and objects can be tracked based on the real-time data that is utilized in everyday life. These connected sensor devices and objects will provide a large amount of data that is to be analyzed quickly as it can accelerate the transformation of smart technology. The accuracy of prediction of artificial intelligence (AI) systems is drastically increasing by using machine learning and other probability and statistical approaches. Big data and geospatial data help to solve complex issues and play a vital role in future applications. Emerging Trends Techniques and Applications in Geospatial Data Science provides an overview of the basic concepts of data science related tools and technologies and algorithms for managing the relevant challenges in real-time application domains. The book covers a detailed description for readers with practical ideas using AI the internet of things (IoT) and machine learning to deal with the analysis modeling and predictions from big data. Covering topics such as field spectra high-resolution sensing imagery and spatiotemporal data engineering this premier reference source is an excellent resource for data scientists computer and IT professionals managers mathematicians and statisticians health professionals technology developers students and educators of higher education librarians researchers and academicians.