Getting Started with Spatial Data Analysis
Remote Sensing and GIS with Open Source Software
This textbook is currently written and aims at students and researchers without any prior knowledge of spatial data analysis.
The expected publication date is end of 2018.
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. The book will end with a first introduction into spatial data analysis with the command line, introducing R.
This book is ends where the already published book “Remote Sensing and GIS for Ecologists” starts.
The current content is covering (with QGIS):
- introduction to spatial data, types and common tasks eg projection
- data access
- data preparation
- creating maps
- in-situ data and GPS handling
- data analysis, landcover analysis
- and ending with first steps in spatial coding using R