Open Source GIS: A GRASS GIS Approach
Neteler, Markus; Mitasova, Helena
Venduto da Zoom Books Company, Lynden, WA, U.S.A.
Venditore AbeBooks dal 19 dicembre 2022
Usato - Rilegato
Condizione: good
Quantità: 1 disponibili
Aggiungere al carrelloVenduto da Zoom Books Company, Lynden, WA, U.S.A.
Venditore AbeBooks dal 19 dicembre 2022
Condizione: good
Quantità: 1 disponibili
Aggiungere al carrelloBook is in good condition and may include underlining highlighting and minimal wear. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
Codice articolo ZBV.038735767X.G
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.
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 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 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 are updated with numerous practical examples using the first release of a comprehensive, state-of-the-art geospatial data set.
Open Source GIS: A GRASS GIS Approach, Third Edition preserves the continuity of previous editions by maintaining the book's proven structure. This volume is structured for a professional audience composed of researchers and practitioners in government and industry, as well as graduate students interested in geospatial analysis and modeling.
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