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An Introduction to Spatial Data Analysis : remote sensing and GIS with open source software
Martin Wegmann (Författare), Jakob Schwalb-Willmann (Författare), Stefan Dech (Författare)
ISBN 9781784272142 · ePub, ISBN 9781784272159 · PDF
utgivning
Exeter : Pelagic Publishing, 2020online resource (xiv, 218 sidor)
Seriemedlemskap
Data in the Wild · Data in the WildMartin Wegmann, Jakob Schwalb-Willmann, Stefan Dech
Onlineresurs
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kategori
Ej skönlitteraturämne
Ecology--Remote sensing., Geographic information systems., Open source software.Annat bärarformat
An Introduction to Spatial Data Analysis : remote sensing and GIS with open source software · ISBN 9781784272135, ISBN 1784272132, ISBN 9781784272128, ISBN 1784272124 (Print)Sammanfattning
This is a book about how ecologists can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions. An Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be guided through their first steps in the R programming language. The authors explain the fundamentals of spatial data handling and analysis, empowering the reader to turn data acquired in the field into actual spatial data. Readers will learn to process and analyse spatial data of different types and interpret the data and results. After finishing this book, readers will be able to address questions such as “What is the distance to the border of the protected area?”, “Which points are located close to a road?”, “Which fraction of land cover types exist in my study area?” using different software and techniques. This book is for novice spatial data users and does not assume any prior knowledge of spatial data itself or practical experience working with such data sets. Readers will likely include student and professional ecologists, geographers and any environmental scientists or practitioners who need to collect, visualize and analyse spatial data. The software used is the widely applied open source scientific programs QGIS and R.
Innehållsförteckning
1. Introduction and overview -- PART I. Data acquisition, data preparation and map creation -- 2. Data acquisition -- 3. Data preparation -- 4. Creating maps -- PART II. Spatial field data acquisition and auxiliary data -- 5. Field data planning and preparation -- 6. Field sampling using a global positioning system (GPS) -- 7. From global positioning system (GPS) to geographic information system (GIS) -- PART III. Data analysis and new spatial information -- 8. Vector data analysis -- 9. Raster analysis -- 10. Raster-vector intersection -- PART IV. Spatial coding -- 11. Introduction to coding -- 12. Getting started with spatial coding -- 13. Spatial analysis in R -- 14. Creating graphs in R -- 15. Creating maps in R
Detaljer
Medverkan och funktion
Martin Wegmann (Författare), Jakob Schwalb-Willmann (Författare), Stefan Dech (Författare)klassifikation
577.0285 (DDK-klassifikation)Identifikator
ISBN 9781784272142 · ePub, ISBN 9781784272159 · PDFIndirekt identifierad av
ISBN 9781784272135 · Print, ISBN 1784272132 · Print, ISBN 9781784272128 · Print, ISBN 1784272124 · Printhar titel
An Introduction to Spatial Data Analysis : remote sensing and GIS with open source softwareupphovsuppgift
Martin Wegmann, Jakob Schwalb-Willmann, Stefan Dechutgivning
Exeter : Pelagic Publishing, 2020omfång
online resource (xiv, 218 sidor)Övriga fysiska detaljer
illustrationerAnnat bärarformat
An Introduction to Spatial Data Analysis : remote sensing and GIS with open source software · ISBN 9781784272135, ISBN 1784272132, ISBN 9781784272128, ISBN 1784272124 (Print)Seriemedlemskap
Data in the Wild · Data in the Wildkontrollnummer
1cv7tw25z8945dgrResursens ID / Permalänk: https://libris.kb.se/1cv7tw25z8945dgr#it
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