An Introduction to Spatial Data Analysis: Remote Sensing and GIS with Open Source Software

Introduction to Spatial Data Analysis
By 作者:Martin Wegmann (Author), Jakob Schwalb-Willmann (Author), Stefan Dech (Author)
pages 页数: 300 pages
ISBN-10 : 1784272132
ISBN-13 : 9781784272135
Dimensions : 6.76 x 0.43 x 9.68 inches
Publisher Finelybook 出版社 : Pelagic Publishing (November 7, 2020)
Language 语言: : English
The Book Description robot was collected from Amazon and arranged by Finelybook
This is a book about how environmental scientist can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing as well as GIS and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving relevant environmental information through remote sensing and modelling of species distributions.
This book 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 will be the widely applied open source scientific programs QGIS and R. All scripts and data sets used in the book will be provided online at
This book covers specific methods including:

what to consider before collecting in situ data
how to work with spatial data collected in situ
the difference between raster and vector data
how to acquire further vector and raster data
how to create relevant environmental information
how to combine and analyse in situ and remote sensing data
how to create useful maps for field work and presentations
how to use QGIS and R for spatial analysis
how to develop analysis scripts


An Introduction to Spatial Data Analysis

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