An Introduction to Spatial Data Analysis : remote sensing and GIS with open source software / Martin Wegmann, Jakob Schwalb-Willmann, Stefan Dech.

• 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. 

• 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. 

Ämnesord

Geographic information systems.  (LCSH)

Open source software.  (LCSH)

Ecology  -- Remote sensing. (LCSH)

Klassifikation

577.0285 (DDC)

Ue.05 (kssb/8 (machine generated))