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Map Framework : A Formal Model of Maps as a Fundamental Data Type in Information Systems / by Mark McKenney, Markus Schneider

By: McKenney, Mark.
Contributor(s): SpringerLink (Online service) | Schneider, Markus.
Material type: materialTypeLabelE-bookPublisher: Cham : Springer International Publishing, 2016Description: 1 recurso en línea (XI, 140 páginas) : 43 ilustraciones.ISBN: 9783319467665.Subject: Ordenadores | Funciones (Matemáticas)DDC classification: 005.7 Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Concepts of Maps -- A Formal Model of Maps as a Fundamental Type -- PLR Partitions: Extending Maps to Include Point and Line Features -- Foundational Operations for Maps -- Constructing Map Operations using the Fundamental Maps -- Extended Operations Over Maps -- Topological Relationships Between Maps -- A Discrete Model of Maps -- Implementing Maps: Map2D.
Abstract: This book explores the concept of a map as a fundamental data type. It defines maps at three levels. The first is an abstract level, in which mathematic concepts are leveraged to precisely explain maps and operational semantics. The second is at a discrete level, in which graph theory is used to create a data model with the goal of implementation in computer systems. Finally, maps are examined at an implementation level, in which the authors discuss the implementation of a fundamental map data type in database systems. The map data type presented in this book creates new mechanisms for the storage, analysis, and computation of map data objects in any field that represents data in a map form. The authors develop a model that includes a map data type capable of representing thematic and geometric attributes in a single data object. The book provides a complete example of mathematically defining a data type, ensuring closure properties of those operations, and then translating that type into a state that is suited for implementation in a particular context. The book is designed for researchers and professionals working in geography or computer science in a range of fields including navigation, reasoning, robotics, geospatial analysis, data management, and information retrieval.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA360 .M354 2016 EB (Browse shelf(Opens below)) .i11598347 Acceso electrónico eBOOK .i11598347
Total holds: 0

Concepts of Maps -- A Formal Model of Maps as a Fundamental Type -- PLR Partitions: Extending Maps to Include Point and Line Features -- Foundational Operations for Maps -- Constructing Map Operations using the Fundamental Maps -- Extended Operations Over Maps -- Topological Relationships Between Maps -- A Discrete Model of Maps -- Implementing Maps: Map2D.

This book explores the concept of a map as a fundamental data type. It defines maps at three levels. The first is an abstract level, in which mathematic concepts are leveraged to precisely explain maps and operational semantics. The second is at a discrete level, in which graph theory is used to create a data model with the goal of implementation in computer systems. Finally, maps are examined at an implementation level, in which the authors discuss the implementation of a fundamental map data type in database systems. The map data type presented in this book creates new mechanisms for the storage, analysis, and computation of map data objects in any field that represents data in a map form. The authors develop a model that includes a map data type capable of representing thematic and geometric attributes in a single data object. The book provides a complete example of mathematically defining a data type, ensuring closure properties of those operations, and then translating that type into a state that is suited for implementation in a particular context. The book is designed for researchers and professionals working in geography or computer science in a range of fields including navigation, reasoning, robotics, geospatial analysis, data management, and information retrieval.

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