Open Source GIS: A GRASS GIS Approach


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.

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  • Bernardo Mello says:

    A good book for beginners I bought this book because I needed to use GRASS and R to produce maps with the results of statistical analysis. Though I am an experienced programmer, I had never used R neither any GIS. The tutorials available on the Internet were enough to learn R, but GRASS was a brick wall. After reading and trying the examples until page 200, I found myself able to work with raster and vectorial maps. Since I was completely illiterate on GIS, I learned in the book how the raster and vector data are organized, how to alter and combine maps and how to manage the vector databases. The sections about R and GRASS integration was very useful. Although it was of no particular interest to me, there are several sections about spatial analysis tools, 2D and 3D output, image processing and GRASS programing. The book is not an exhaustive descriptions of the commands, which should be found on the GRASS documentation. It is more like a hands-on tutorial that makes you familiar with the system and…

  • Vishal K. Mehta says:

    A very good introduction to the many capabilities of GRASS GIS I waited several months for this 3rd edition of Neteler and Mitasova’s ‘Open Source GIS: A GRASS GIS Approach’. I’m not disappointed.Pros:1. The book is a major re-write of the earlier edition, and uses GRASS version 6.x – which has many improvements from earlier GRASS versions2. It has tons of example applications, drawn and derived from an up-to-date sample dataset for North Carolina. Examples span the fields of hydrology, remote sensing,and a large number of standard GIS operations on vector and raster datasets.3. It is well organized and succinct in its language.Cons:1. There are several typos.2. Some of the examples may not exactly work on your own system – the authors acknowledge this, as each version of GRASS has some variations in dependent packages and libraries.3. Some of the pages are not cross-referenced right.[…]To summarize:I first used GRASS (version 4.3) in the year 2000. While…

  • K. Springs says:

    A must for a GRASS user 0

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