How to apply spatial models using R to a wide range of data used in political science. Models are similar to multidimensional scaling models long used in Psychology and MDS models overage. Aimed at graduate students and researchers with basic knowledge of R, a "how to." In second edition, chapters updated to reflect these new R packages.

Android Security Internals delves into Android components and subsystems to give you a deep and complete understanding of the security internals of Android devices.

This book lays a good foundation for the core concepts and principles of cloud computing applications, walking the reader through the fundamental ideas with expert ease. The book progresses on the topics in a step-by-step manner and reinforces theory with a full-fledged pedagogy designed to enhance students' understanding.

This book presents state-of-the-art of optimization algorithms followed by internet of things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics such as optimization, algorithms, machine learning in image processing and IoT.

Applied Computational Thinking with Python provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time. Developers working with Python will be able to put their knowledge to work with this practical guide using the computational thinking method for problem-solving.

Enterprises are evolving into real-time digital organizations. This book focuses on the technologies, processes, systems, and applications that are driving this evolution. It examines the implementation technologies, the products, processes, platforms, patterns, and practices, and use cases.