Spatial data management
Nikos Mamoulis
Reading Time
at 250 WPM2h 13m
The average reader, reading at a speed of 250 WPM, would take 2h 13m to read Spatial data management.
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133
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Spatial data management
Published
2012
Publisher
Morgan & Claypool
Pages
133
ISBN-13
9781608458332
Description
Spatial database management deals with the storage, indexing, and querying of data with spatial features, such as location and geometric extent. Many applications require the efficient management of spatial data, including Geographic Information Systems, Computer Aided Design, and Location Based Services. The goal of this book is to provide the reader with an overview of spatial data management technology, with an emphasis on indexing and search techniques. It first introduces spatial data models and queries and discusses the main issues of extending a database system to support spatial data. It presents indexing approaches for spatial data, with a focus on the R-tree. Query evaluation and optimization techniques for the most popular spatial query types (selections, nearest neighbor search, and spatial joins) are portrayed for data in Euclidean spaces and spatial networks. The book concludes by demonstrating the ample application of spatial data management technology on a wide range of related application domains: management of spatio-temporal data and high-dimensional feature vectors, multi-criteria ranking, data mining and OLAP, privacy-preserving data publishing, and spatial keyword search.
Assessing spatial data infrastructures
National Spatial Data Infrastructure partnership programs
Geographic Information Systems to Spatial Data Infrastructures
From Geographic Information Systems to Spatial Data Infrastructures
Lessons for the Global Spatial Data Infrastructure
Spatial Data Infrastructures at Work
Frequently Asked Questions
How many pages are in Spatial data management?
This edition of Spatial data management has approximately 133 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Spatial data management?
For most readers, Spatial data management typically takes between 2h 46m and 1h 51m to complete. This is based on the book's length of approximately 33,250 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 2h 13m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 5 days • Estimated word count: 33,250 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Spatial data management?
The estimated word count for Spatial data management is approximately 33,250 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Spatial data management?
Spatial data management was written by Nikos Mamoulis.
When was Spatial data management published?
The publication date for this specific edition is 2012. The original work may have been published on a different date.