Introduction to Spatial Data Analysis
First steps in spatial data access, handling and analysis using QGIS and a smooth introduction to spatial coding with R
About The Book
This textbook aims at students and researchers without any prior knowledge of spatial data analysis.
The expected publication date is early 2020.
This book will cover all necessary steps for novice users to get started with spatial data analysis. The basics of spatial data (vector, raster, layers, coordinate systems etc.) are covered, as well as actually needed steps to collect field data, convert them into spatial formats, combine it with other spatial data and analyze this data.
All steps will be done in QGIS, an open source graphical user interface for spatial data. All fundamental steps to achieve a first spatial data analysis project are outlined with clear explanations and screenshots of the software. The book will end with a first introduction into spatial data analysis with the command line, introducing R.
This book ends where the already published book “Remote Sensing and GIS for Ecologists” starts.
The book ends with first steps in spatial coding using R where similar tasks previously achieved with QGIS are redone using the command line.
The book is covering the following topics:
introduction to spatial data, types and common tasks such as projection,
data access and preparation,
as well as creating maps,
working with in-situ data and GPS,
data analysis & land cover analysis
Spatial Data Handling
First simple examples
Vector and Raster
Reprojection, Clipping, …
Vector and Raster
Map and Graph making
Using mainly QGIS and a bit R
Advanced Remote Sensing
we are currently preparing the advanced remote sensing book covering LiDAR, Radar, hyperspectral etc.