Open Source Approaches in Spatial Data Handling


Book Description

The role open-source geospatial software plays in data handling within the spatial information technology industry is the overarching theme of the book. It also examines new tools and applications for those already using OS approaches to software development.




Sources of Digital Spatial Data for Geographic Information Systems


Book Description

Several computer programs are available to help Army installations plan military training activities while ensuring environmental quality and protecting natural resources. One such system, the Geographic Resources Analysis Support System (GRASS), requires digital spatial information for developing area-specific databases. This information previously was available only on a limited basis. Today, many more digital spatial data sources have come into existence. Use of such sources, compared with generating new data, can usually save an installation a large amount of time and money. In addition, these sources ensure minimum standards for accuracy and quality. This report identifies digital data sources to help installations evaluate the feasibility of implementing systems such as GRASS. Included is a list of the following characteristics for each source: format, scale/resolution, coverage, media, costs, and a textual description. Keywords: Army facilities, Army training.




Sources for Digital Spatial Data


Book Description




Spatial Data on the Web


Book Description

This book focuses on the modeling and management of spatial data in distributed systems. The authors have structured the contributions from internationally renowned researchers into four parts. The book offers researchers an excellent overview of the state-of-the-art in modeling and management of spatial data in distributed environments, while it may also be the basis of specialized courses on Web-based geographical information systems.













Next Generation Geospatial Information


Book Description

With the turn of the century our ability to collect and store geospatial information has increased considerably. This has resulted in ever-increasing amounts of heterogeneous geospatial data, an issue that poses new challenges and opportunities. As these rich sources of data are made available, users rely, now more than ever, on the geospatial data