The book “Graphical models of representation of spatially distributed data and methods of their processing” by Cousin is a unique work that immerses the reader in the world of modern data processing technologies based on graph models. This publication will be a real find for students, graduate students, researchers and practitioners in the field of computer science, geoinformation systems and related disciplines . Cousin, known for his in-depth research in the field of mathematical models and algorithms, offers the reader not only theoretical calculations, but also practical approaches to solving actual problems. The book covers a wide range of topics related to the representation and processing of spatially distributed data, making it an important resource for professionals working with large amounts of information, including data on geolocation, ecology, urban planning and much more. One of the key topics addressed in the book is the use of graph structures for modeling complex systems. Cousin explains in detail how graphs can serve as a powerful tool for representing the relationships between objects and phenomena, as well as for analyzing and processing this data. Readers will be able to learn about various methods that allow for the efficient processing of graph data, including algorithms for search, optimization and clustering. This makes the book especially useful for those interested in machine learning and artificial intelligence, where graph models are becoming increasingly relevant. The book will be of interest not only to specialists, but also to those who are just starting their way in studying graph models. Thanks to the accessible style of presentation and a lot of examples, readers will be able to easily learn complex concepts and apply them in practice. Cousin masterfully combines theory with practical tasks, which allows a deeper understanding of how graph models can be used in real-world scenarios. The topics raised in the book concern not only technical aspects, but also philosophical issues related to data processing in the modern world. With the rapid growth of information and the need to analyze it, graph models are becoming key to ensure high-quality and fast decision-making. Cousin raises important questions about how data can affect our perception of reality and what ethical aspects should be taken into account when processing them. If you are looking for books on data processing topics, graph algorithms or spatial analysis, then “Graphic models of representation of spatially distributed data and methods of their processing” will be a real discovery for you. This publication will not only expand your knowledge, but also inspire new research and development in the field of data processing. Cousin, in addition to this book, is also known for his work in the field of algorithms and graph theory, which makes him an authority in this field. His writing style is clear and logical, which allows the reader not only to understand the material, but also to see its practical significance. Thus, the book “Graphic models of representation of spatially distributed data and methods of their processing” is not just a textbook, but a whole universe in which every reader can find something useful for himself. It will be an excellent addition to the library of anyone who is interested in modern methods of data processing and their application in various fields. Do not miss the opportunity to immerse yourself in this fascinating world of graph models with Kuzin!