An Introduction to Spatial Data Analysis (eBook)

Remote Sensing and GIS with Open Source Software

Martin Wegmann, Jakob Schwalb-Willmann, Stefan Dech (Autoren)

eBook Download: EPUB

2020
300 Seiten
Pelagic Publishing (Verlag)
978-1-78427-214-2 (ISBN)

Infos

Readers will learn the essentials of spatial data handling using the open source software QGIS and be guided through the first steps in using the R programming language. The book includes the fundamentals of spatial data handling and analysis, working with real data from field to analysis.

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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. All scripts and data sets used in the book will be provided online at book.ecosens.org.This book covers specific methods including:what to consider before collecting in situ datahow to work with spatial data collected in situthe difference between raster and vector datahow to acquire further vector and raster datahow to create relevant environmental informationhow to combine and analyse in situ and remote sensing datahow to create useful maps for field work and presentationshow to use QGIS and R for spatial analysishow to develop analysis scripts

Autor

lt;p>Martin Wegmann works on remote sensing for biodiversity and conservation applications at the Department of Remote Sensing, University of Würzburg. He also teaches remote sensing within the applied Earth Observation EAGLE M.Sc. program and the AniMove.org science school. He has more than 15 years of experience in working with spatial data for ecological applications using Open Source software.

Jakob Schwalb-Willmann is a scientist at the University of Würzburg with an academic background in Earth observation and spatial data science. His research focuses on the machine-learning-driven analysis and exploitation of integrated movement tracking and remote sensing data for geoanalytical applications. He has extensive experience in using and developing Open Source software tools for advanced image and spatial data anaylsis.

Stefan Dech is director of the German Remote Sensing Data Center (DFD) since 1998, and current spokesman of the Earth Observation Center (EOC) at the German Aerospace Center (DLR). Since 2001 he has held the Chair for Remote Sensing at the Institute of Geography and Geology of the University of Würzburg. 

Produkt-Details

• Erscheint lt. Verlag: 14.9.2020
• Reihe/Serie: Data in the Wild
• Reihe/Serie: Data in the Wild
• Verlagsort: Exeter
• Sprache: englisch
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Naturwissenschaften ► Biologie ► Ökologie / Naturschutz
• Themenwelt: Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie
• Schlagworte: data capture • Ecology • GIS • Remote Sensing • spatial data analysis
• ISBN-10: 1-78427-214-0 / 1784272140
• ISBN-13: 978-1-78427-214-2 / 9781784272142