If you’re looking for free digital books covering GIS, analysis, and programing to improve your geospatial skills, Springer has eBooks you can access from its site. Books can be accessed in PDF and EPub formats.
GIS Books
Python for ArcGIS
By Laura Tateosian, 2015. This book introduces Python scripting for geographic information science (GIS) workflow optimization using ArcGIS. Python for ArcGIS contains 200 sample Python scripts and 175 classroom-tested exercises reinforce the learning objectives. Access: Python For ArcGIS
ArcGIS for Environmental and Water Issues
William Bajjali, 2018. This book contains step-by-step tutoriasl on the applications of Geographic Information Systems (GIS) in environmental and water resource issues. Access: ArcGIS for Environmental and Water Issues
Data and Analysis
Manual of Digital Earth
Huadong Guo, Michael F. Goodchild, & Alessandro Annoni, 2020. This open access book offers a summary of the development of Digital Earth over the past twenty years. The main aspects of Digital Earth covered here include: Digital Earth platforms, remote sensing and navigation satellites, processing and visualizing geospatial information, geospatial information infrastructures, big data and cloud computing, transformation and zooming, artificial intelligence, Internet of Things, and social media. Access: Manual of Digital Earth
Data Analysis
Siegmund Brandt, 2014. The fourth edition of this textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Access: Data Analysis
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Spationomy
Vít Pászto, Carsten Jürgens, Polona Tominc, & Jaroslav Burian, eds., 2020. This open access book is based on “Spationomy – Spatial Exploration of Economic Data”, an interdisciplinary and international project in the frame of ERASMUS+ funded by the European Union. Access: Spationomy
Maritime Spatial Planning
Jacek Zaucha & Kira Gee, 2019. The authors and contributors examine marine spatial planning from disciplines as diverse as geography, urban planning, political science, natural science, sociology and education; reflecting the growing critical engagement with MSP in many academic fields. Access: Maritime Spatial Planning
An Introduction to Machine Learning
Miroslav Kubat, 2017. This textbook presents fundamental machine learning concepts. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Access: An Introduction to Machine Learning
Time Series Analysis
Jonathan D. Cryer and Kung-Sik Chan, 2008. Time Series Analysis With Applications in R, Second Edition, presents an accessible approach to understanding time series models and their applications. Access: Time Series Analysis
Programming
The Python Workbook
Ben Stephenson, 2014. The Python Workbook focuses exclusively on exercises, following the philosophy that computer programming is a skill best learned through experience and practice. Access: The Python Workbook
Data Structures and Algorithms with Python
Kent D. Lee & Steve Hubbard, 2015. This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently.
Introductory Statistics with R
Peter Dalgaard, 2008. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. Access: Introductory Statistics with R
A Beginner’s Guide to R
Alain F. Zuur, Elena N. Ieno, & Erik H. W. G. Meesters, 2009. This book covers how to access and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes. Access: A Beginner’s Guide to R
