Open Source GIS : A GRASS GIS Approach

Helena Mitasova

ISBN 10: 038735767X / ISBN 13: 9780387357676

Edité par Springer US, Springer New York, 2007

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - With this third edition of Open Source GIS: A GRASS GIS Approach, we enter the new era of GRASS6, the first release that includes substantial new code developed by the International GRASS Development Team. The dramatic growth in open source software libraries has made the GRASS6 development more efficient, and has enhanced GRASS interoperability with a wide range of open source and proprietary geospatial tools.Thoroughly updated with material related to the GRASS6, the third edition includes new sections on attribute database management and SQL support, vector networks analysis, lidar data processing and new graphical user interfaces. All chapters were updated with numerous practical examples using the first release of a comprehensive, state-of-the-art geospatial data set.

N° de réf. du vendeur 9780387357676

Détails bibliographiques

• Titre: Open Source GIS : A GRASS GIS Approach
• Éditeur: Springer US, Springer New York
• Date de parution: 2007
• Langue: anglais
• ISBN à 10 chiffres: 038735767X
• ISBN à 13 chiffres: 9780387357676
• Reliure: Buch
• Édition: 3ème Édition
• État de l'article: Neu

A propos de ce titre

Synopsis

Open Source GIS: A GRASS GIS Approach, Third Edition, has undergone a thorough update with the most significant rewrite related to the completely new GRASS6, the retirement of the site format, and substantial new code developed by the International GRASS Development Team. Also, completely new sections on attribute database management and SQL support were added, along with vector networks analysis, lidar data processing and new graphical user interfaces. Open Source GIS: A Grass GIS Approach, Third Edition, preserves the continuity of the first and second editions by keeping most of the book's structure unchanged, and continues to target a professional audience composed of researchers and practitioners in government and industry. This book is also suitable as a secondary text for advanced-level students in geospatial analysis and modeling.