9 Best Books on Geospatial Database Management System

“Spatial Database Systems: Design, Implementation and Project Management (GeoJournal Library)” Book Review: This book provides an in-depth examination of spatial database systems, covering their design, implementation, and management. It covers a range of topics, including the current state of spatial information technology, database principles in architecture, concepts and architecture of database systems, database models and data models, spatial data and spatial database systems, and future directions in the field. Each topic is explained succinctly and is illustrated with flow charts and diagrams. This book is highly recommended for advanced-level computer engineering students.

“Geospatial Semantics and the Semantic Web: Foundations, Algorithms, and Applications (Semantic Web and Beyond)” Book Review: This book explores the basics and methods of geospatial semantics and the semantic web, covering a variety of topics such as the representation and utilization of changing historical places, semantic references for Geo sensor data and voluntary geographic information, and extending SPARQL to support spatiotemporal queries. Additionally, it delves into Spatial cyber infrastructure, location-based access control through the use of semantic web technologies, topographic mapping data semantics via data conversion and enhancement. Chapters in the book are contributed by distinguished scientists and researchers, and it is filled with case studies and worked out examples, making it an excellent resource for students studying advanced geology and computer engineering at the advanced level. The book also includes a discussion of future research in the field.

“Automating the Analysis of Spatial Grids” Book Review: This book serves as an introduction to digital image processing and data mining concepts applied to geospatial data sets. It covers topics such as automated analysis of spatial grids, including motivation and challenges, geospatial grids, data structures for spatial grids, as well as global and local image statistics. Additionally, it covers neighbourhood and window operations, object identification, and change and motion estimation. Each unit concludes with example applications, and colourful images and tables are included to enhance clarity. This book is recommended for advanced-level computer engineering students interested in the field of image processing.

“Geospatial Technology for Earth Observation” Book Review: This book discusses the benefits of using geospatial technology for observing the Earth. It covers various topics such as satellites, remote sensing systems (both airborne and ground-based), and integrating these systems into a larger framework. The book also explores applications like mapping land boundaries, assessing changes in land use, monitoring water environments, mapping floods, and providing support for decision-making. The book includes colorful images and labeled figures to help readers understand the concepts easily. It also touches upon future trends and covers various applications. This book is suitable for students studying geospatial science and developers in the technology industry.

“Geospatial Services and Applications for the Internet” Book Review: This book provides a comprehensive overview of the methodologies and techniques used in geospatial information services. It covers various important topics such as the hierarchical infrastructure for Internet mapping services, web-based hydrological applications, and geospatial web services that bridge the gap between OGC and web services. The book also includes several case studies that offer practical knowledge. The chapters in the book have been written by multiple researchers and scientists. This book is a valuable reference for students studying GIS and advanced level computer science engineering in the field of geology.

“GeoSpatial Semantics: 4th International Conference, GeoS 2011, Brest, France, May 12-13, 2011, Proceedings (Lecture Notes in Computer Science)” Book Review: This book contains a collection of 13 papers presented at the 4th International Conference on Geospatial Semantics in France, covering a range of topics including formal and semantic approaches, time and activity-based patterns, ontologies and semantic integration, activity-based and temporal issues, quality and semantic similarity, as well as retrieval and discovery methods. Each paper is comprehensively described, making it a valuable resource for researchers and advanced-level students of GIS and geology.

“Integrated Spatial Databases: Digital Images and GIS” Book Review: This book comprises a collection of carefully chosen papers that were presented at the International Workshop held in Portland in 1999. The papers delve into various topics, such as view alignment of Ariel and tertiary imagery in urban environments, automated extraction of linear features, and the reconstruction of building models from maps and laser altimeter data. The book contains 18 chapters that provide comprehensive insights into these subjects. It is a valuable resource for advanced-level students and researchers in the field of GIS and spatial databases.

“Geospatial Abduction: Principles and Practice” by Paulo Shakarian and V S Subrahmanian Book Review: This book is about Geospatial abduction. This book delves into the topic of Geospatial abduction and explores its mathematical foundations. It appeals to both practitioners and researchers, offering insights into the application of geospatial abduction in military situations, criminology, epidemiology, and archaeology. Additionally, readers can gain access to a website hosted by the University of Maryland that covers geospatial abduction. The book covers a broad range of subjects, including general AI, game theory, linear programming, data mining, machine learning, geoinformation, geological science, and biological science. It is particularly relevant for those working in the fields of computer science and mathematics.

“Spatial Database for GPS Wildlife Tracking Data” Book Review: This book provides a comprehensive guide for both undergraduate and postgraduate students, as well as animal ecologists, biologists, and wildlife and data managers. The guide offers a step-by-step procedure for creating advanced software platforms that can efficiently manage and process wildlife tracking data. With a unique focus on problem-solving, the book covers topics such as how to extract the most information from GPS animal tracking data, how to prevent error propagation, and how to optimize analysis performance. The software platform, built on the open source PostgreSQL/PostGIS spatial database, allows researchers and managers to integrate GPS tracking data with animal characteristics and environmental data sets, including remote sensing image time series and bio-logged data like acceleration data. The book also demonstrates how the powerful R statistical environment can be integrated into the software platform either by connecting the database with R or embedding the same tools in the database through the PostgreSQL extension Pl/R. In addition, the book covers client/server architecture that enables users to remotely connect multiple software applications that can be used as a database front end, as well as GIS software and WebGIS. Real GPS animal telemetry data from an available online study are used throughout the book to demonstrate the proposed examples.