An Introduction To Using GIS In Marine Biology: Supplementary Workbook Seven - An Introduction To Using QGIS (Quantum GIS)
This title was published in May 2015.
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This book provides five exercises based around using raster data layers for novice GIS users who wish to get some practical experience in using GIS in marine biology. It is the seventh companion book to An Introduction To Using GIS In Marine Biology rather than a stand-alone GIS book. It written for marine biologists by a marine biologist, and all exercises use data from a real marine biological research project.
This book is the seventh companion volume to An Introduction To Using GIS In Marine Biology. It is designed to augment the information on using GIS in marine biology provided in that book, and, indeed, to be used alongside it rather than to be an independent, stand-alone volume. This book will be of most interest to those who have already read An Introduction To Using GIS In Marine Biology.
This book consists of five exercises on the practical use of GIS in marine biology using the QGIS (or Quantum GIS), the leading freely available, open-source GIS software package. These exercises are range from making a simple map of the locations where a species was recorded for inclusion in a publication or presentation, to creating grids of species presence-absence, richness and abundance, and grids of environmental variables. They use real data sets which can be downloaded here. Working through these exercises will help the novice GIS user get experience working with GIS and so develop their GIS skills. Unlike most other GIS tutorials, this information is specifically presented in a marine biological context.
These exercises are presented in the same easy-to-follow flow diagram-based format first introduced in the ‘How To...’ section of An Introduction To Using GIS In Marine Biology. They are accompanied by figures which show the user how their GIS project should look as they progress through the each exercise, allowing them to compare their own work to the expected results.
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