Spatial Data Collections and Services
Author : Joseph A. Salem
Publisher : Association of Research Libr
Page : 148 pages
File Size : 22,67 MB
Release : 2005
Category : Geographic information systems
ISBN :
Author : Joseph A. Salem
Publisher : Association of Research Libr
Page : 148 pages
File Size : 22,67 MB
Release : 2005
Category : Geographic information systems
ISBN :
Author : Susan Elizabeth Ward Aber
Publisher : Chandos Publishing
Page : 296 pages
File Size : 33,37 MB
Release : 2016-11-04
Category : Language Arts & Disciplines
ISBN : 0081000456
Map Librarianship identifies basic geoliteracy concepts and enhances reference and instruction skills by providing details on finding, downloading, delivering, and assessing maps, remotely sensed imagery, and other geospatial resources and services, primarily from trusted government sources. By offering descriptions of traditional maps, geographic information systems (GIS), remote sensing, and other geospatial technologies, the book provides a timely and practical guide for the map and geospatial librarian to blend confidence in traditional library skill sets. - Includes rarely discussed concepts of citing and referencing maps and geospatial data, fair use and copyright - Creates an awareness and appreciation of existing print map collections, while building digital stewardship with surrogate map and aerial imagery collections - Provides an introduction to the theory and applications of GIS, remote sensing, participatory neogeography and neocartography practices, and other geospatial technologies - Includes a list of geospatial resources with descriptions and illustrations of commonly used map types and formats, online geospatial data sources, and an introduction to the most commonly used geospatial software packages available, on both desktop and mobile platforms
Author : Nikos Mamoulis
Publisher : Morgan & Claypool Publishers
Page : 152 pages
File Size : 37,94 MB
Release : 2012
Category : Computers
ISBN : 1608458326
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. Table of Contents: Introduction / Spatial Data / Indexing / Spatial Query Evaluation / Spatial Networks / Applications of Spatial Data Management Technology
Author : Robert P. Haining
Publisher : Cambridge University Press
Page : 436 pages
File Size : 11,62 MB
Release : 1993-08-26
Category : Mathematics
ISBN : 9780521448666
Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis for interpretation. The purpose of this book is to describe current methods for the analysis of spatial data. Methods described include data description, map interpolation, and exploratory and explanatory analyses. The book also examines spatial referencing, and methods for detecting problems, assessing their seriousness and taking appropriate action are discussed. This is an important text for any discipline requiring a broad overview of current theoretical and applied work for the analysis of spatial data sets. It will be of particular use to research workers and final year undergraduates in the fields of geography, environmental sciences and social sciences.
Author : Roger S. Bivand
Publisher : Springer Science & Business Media
Page : 414 pages
File Size : 49,75 MB
Release : 2013-06-21
Category : Medical
ISBN : 1461476186
Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.
Author : Abresch, John
Publisher : IGI Global
Page : 318 pages
File Size : 39,62 MB
Release : 2008-04-30
Category : Computers
ISBN : 1599047284
With the onslaught of emergent technology in academia, libraries are privy to many innovative techniques to recognize and classify geospatial data?above and beyond the traditional map librarianship. As librarians become more involved in the development and provision of GIS services and resources, they encounter both problems and solutions. Integrating Geographic Information Systems into Library Services: A Guide for Academic Libraries integrates traditional map librarianship and contemporary issues in digital librarianship within a framework of a global embedded information infrastructure, addressing technical, legal, and institutional factors such as collection development, reference and research services, and cataloging/metadata, as well as issues in accessibility and standards.
Author : National Research Council
Publisher : National Academies Press
Page : 142 pages
File Size : 37,79 MB
Release : 2003-02-26
Category : Transportation
ISBN : 0309168147
The report describes potential applications of geographic information systems (GIS) and spatial analysis by HUD's Office of Policy Development and Research for understanding housing needs, addressing broader issues of urban poverty and community development, and improving access to information and services by the many users of HUD's data. It offers a vision of HUD as an important player in providing urban data to federal initiatives towards a spatial data infrastructure for the nation.
Author : Igor Ivan
Publisher : Springer
Page : 418 pages
File Size : 46,22 MB
Release : 2016-10-14
Category : Science
ISBN : 3319451235
This edited volume gathers the proceedings of the Symposium GIS Ostrava 2016, the Rise of Big Spatial Data, held at the Technical University of Ostrava, Czech Republic, March 16–18, 2016. Combining theoretical papers and applications by authors from around the globe, it summarises the latest research findings in the area of big spatial data and key problems related to its utilisation. Welcome to dawn of the big data era: though it’s in sight, it isn’t quite here yet. Big spatial data is characterised by three main features: volume beyond the limit of usual geo-processing, velocity higher than that available using conventional processes, and variety, combining more diverse geodata sources than usual. The popular term denotes a situation in which one or more of these key properties reaches a point at which traditional methods for geodata collection, storage, processing, control, analysis, modelling, validation and visualisation fail to provide effective solutions. >Entering the era of big spatial data calls for finding solutions that address all “small data” issues that soon create “big data” troubles. Resilience for big spatial data means solving the heterogeneity of spatial data sources (in topics, purpose, completeness, guarantee, licensing, coverage etc.), large volumes (from gigabytes to terabytes and more), undue complexity of geo-applications and systems (i.e. combination of standalone applications with web services, mobile platforms and sensor networks), neglected automation of geodata preparation (i.e. harmonisation, fusion), insufficient control of geodata collection and distribution processes (i.e. scarcity and poor quality of metadata and metadata systems), limited analytical tool capacity (i.e. domination of traditional causal-driven analysis), low visual system performance, inefficient knowledge-discovery techniques (for transformation of vast amounts of information into tiny and essential outputs) and much more. These trends are accelerating as sensors become more ubiquitous around the world.
Author : George Grekousis
Publisher : Cambridge University Press
Page : 535 pages
File Size : 21,51 MB
Release : 2020-06-11
Category : Reference
ISBN : 1108498981
An introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.
Author : Laura Diaz
Publisher :
Page : 315 pages
File Size : 21,36 MB
Release : 2012
Category : Geographic information systems
ISBN : 9781466609471
"This book provides relevant theoretical frameworks and the latest empirical research finding to improve understanding of geospatial discovery methodologies and technologies, as well as techniques to design and deploy geospatial resources in Information Infrastructures"--Provided by publisher.