José-María Montero – författare

Statistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways of constructing them. This book is a unified approach to modeling spatial and spatio-temporal data together with significant developments in statistical methodology with applications in R.This book includes: Methods for selecting valid covariance functions from the empirical counterparts that overcome the existing limitations of the traditional methods.The most innovative developments in the different steps of the kriging process.An up-to-date account of strategies for dealing with data evolving in space and time.An accompanying website featuring R code and examples

This book highlights the latest technological innovations in economics education. Economics, as a discipline, not only studies the relationship between ends and scarce means, which can be used alternatively, but also serves as a social science that uses historical data to predict future events—a task complicated by the influence of human behavior. In economics, a solid theoretical foundation alone is insufficient; practical application requires a deep understanding of statistics. With the vast amount of information available today, data processing is now performed using specialized software.Consequently, teaching economics demands a wide range of complex skills that have significantly evolved in recent years, driven by the growing interest in educational innovation among professors and scientists, further accelerated by advancements in new technologies. Moreover, economics education is increasingly aligned with the global concern for sustainability, as emphasized in the United Nations' Agenda 2030. Professors are now integrating sustainability into syllabi and teaching methodologies.This book covers key topics such as:Technological and innovative advancements in economics education.New teaching-learning theories and models in economics education.The impact of digital transformation on economics education.The role of artificial intelligence in economics education.Addressing special educational needs in economics education.Evaluation of the teaching-learning process in economics.Assessment of student learning in economics.Development of materials and tools for economics education.Final projects (Undergraduate and Master's) in economics.Authored by leading professors and researchers in the field, this book presents a collection of chapters that rigorously explore teaching innovations in economics.

This book offers educators a comprehensive, practical guide to modernizing their teaching methods, enabling economic theory to connect directly with the demands of the digital world. The landscape of economics education is undergoing an unprecedented transformation, driven by the integration of advanced technologies, especially artificial intelligence (AI) and other emerging digital tools. Through real-world case studies and innovative methodological frameworks, this book presents concrete strategies to:Implement AI solutions and emerging technologies in the classroom.Design personalized learning experiences tailored to each student’s unique needs.Utilize virtual tutoring and automated assessments to foster a deeper understanding of economic concepts.Adapt and transform traditional pedagogical practices into dynamic, student-centered models. Written by a team of internationally renowned experts, this book is an indispensable resource for university professors, researchers, and education professionals. By exploring new frontiers in teaching, the book not only enriches pedagogical practice but also equips students to successfully navigate the challenges of the digital age economy.