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Map framework[electronic resource] :a formal model of maps as a fundamental data type in information systems /

Record Type:	Electronic resources : Monograph/item
[NT 15000414]:	514.72
Title/Author:	Map framework : a formal model of maps as a fundamental data type in information systems // by Mark McKenney, Markus Schneider.
Author:	McKenney, Mark.
other author:	Schneider, Markus.
Published:	Cham : : Springer International Publishing :, 2016.
Description:	xi, 140 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
Subject:	Mappings (Mathematics)
Subject:	Data types (Computer science)
Subject:	Computer Science.
Subject:	Information Systems and Communication Service.
Subject:	Geographical Information Systems/Cartography.
Subject:	Regional/Spatial Science.
Subject:	Discrete Mathematics in Computer Science.
ISBN:	9783319467665
ISBN:	9783319467641
[NT 15000228]:	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.
[NT 15000229]:	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.
Online resource:	http://dx.doi.org/10.1007/978-3-319-46766-5

Map framework[electronic resource] :a formal model of maps as a fundamental data type in information systems /
McKenney, Mark.

Map frameworka formal model of maps as a fundamental data type in information systems /[electronic resource] :by Mark McKenney, Markus Schneider. - Cham :Springer International Publishing :2016. - xi, 140 p. :ill., digital ;24 cm.

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.

ISBN: 9783319467665

Standard No.: 10.1007/978-3-319-46766-5doiSubjects--Topical Terms:

405712
Mappings (Mathematics)

LC Class. No.: QA360

Dewey Class. No.: 514.72

Map framework[electronic resource] :a formal model of maps as a fundamental data type in information systems /
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520 $a 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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