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Map frameworka formal model of maps ...

McKenney, Mark.

Map frameworka formal model of maps as a fundamental data type in information systems /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Map frameworkby Mark McKenney, Markus Schneider.
其他題名:	a formal model of maps as a fundamental data type in information systems /
作者:	McKenney, Mark.
其他作者:	Schneider, Markus.
出版者:	Cham :Springer International Publishing :2016.
面頁冊數:	xi, 140 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Mappings (Mathematics)
電子資源:	http://dx.doi.org/10.1007/978-3-319-46766-5
ISBN:	9783319467665$q(electronic bk.)

Map frameworka 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$q(electronic bk.)

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

338109
Mappings (Mathematics)

LC Class. No.: QA360

Dewey Class. No.: 514.72

Map frameworka 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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