Open Source Approaches in Spatial Data Handling-Springer
"Open Source Approaches in Spatial Data Handling" is a comprehensive book that delves into the world of geospatial open source and open standards. The book is a compilation of contributions from experts in the field, each focusing on different aspects of open source technologies and their applications in geographic information science. Below is a summary of the book's chapters and their key points, with a focus on the highlighted keywords:
Chapter 1: Geospatial Open Source and Open Standards Convergences
Author: Athanasios Tom Kralidis
This chapter provides an introduction to the convergence of open source and open standards in the geospatial field. It sets the stage for the subsequent chapters by discussing the importance of open approaches in spatial data handling.
Chapter 2: Free Software and Open Source Business Models
Author: Arnulf Christl
Arnulf Christl explores various business models related to free and open source software in the context of geospatial technology. This chapter discusses how open source can be a viable business strategy.
Chapter 3: Communities of Practice and the Business of Open Source Web Mapping
Author: David McIhagga
David McIhagga focuses on the role of communities of practice in open source web mapping. He explores how these communities contribute to the business and development of open source web mapping technologies.
Chapter 4: MapServer
Author: Stephen Lime
This chapter provides an in-depth look at MapServer, an open source platform for building web mapping applications. Stephen Lime discusses its features and applications in spatial analysis.
Chapter 5: The Geospatial Data Abstraction Library (GDAL)
Author: Frank Warmerdam
Frank Warmerdam presents the Geospatial Data Abstraction Library (GDAL), a critical tool in the geospatial domain for translating between various GIS data formats and enabling spatial data science.
Chapter 6: Open Source Databases and Their Spatial Extensions
Authors: Rongguo Chen and Jiong Xie
This chapter explores open source databases and their spatial extensions, demonstrating their significance in managing spatial data and facilitating spatial data analysis.
Chapter 7: MapGuide Open Source
Author: Robert Bray
Robert Bray discusses MapGuide Open Source, a web-based platform for developing and deploying web mapping applications and conducting geospatial data analysis.
Chapter 8: GeoTools
Author: Ian Turton
This chapter focuses on GeoTools, an open source Java library that provides tools for geospatial data manipulation and spatial analysis.
Chapter 9: GRASS GIS
Authors: M. Neteler, D.E. Beaudette, P. Cavallini, L. Lami, and J. Cepicky
This chapter introduces GRASS GIS, a powerful open source geographic information system used for geospatial analysis and modeling spatial data.
Chapter 10: GeoVISTA Studio: Reusability by Design
Authors: Mark Gahegan, Frank Hardisty, Urska Demšar, and Masa Takatsuka
The chapter presents GeoVISTA Studio, a framework designed for creating geospatial visualizations and modeling spatial data.
Chapter 11: Design and Implementation of a Map-Centered Synchronous Collaboration Tool Using Open Source Components: The MapChat Project
Authors: G. Brent Hall and Michael G. Leahy
This chapter discusses the MapChat project, which utilizes open source components to develop a collaborative map-centered tool for geospatial mapping and spatial data analysis.
Chapter 12: TerraLib: An Open Source GIS Library for Large-Scale Environmental and Socio-Economic Applications
Authors: Gilberto Camara, Lúbia Vinhas, Karine Reis Ferreira
The final chapter introduces TerraLib, an open source GIS library tailored for large-scale environmental and socio-economic applications, facilitating the analysis of geospatial data and spatial statistics.
In summary, "Open Source Approaches in Spatial Data Handling" provides valuable insights into the world of open source GIS technologies, their applications in spatial analysis, and the business models associated with them. This book serves as a valuable resource for professionals and researchers in the field of geographic information science and geospatial data science.
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