Book Recommendations

If you are interested in learning more about GIS, Remote Sensing, Geospatial Science, Digital Cartography, Data Science, Machine Learning, Deep Learning, Web Development, and/or Web Mapping, we recommend taking a look at these texts.

Geospatial Science and Cartography

  1. Introduction to Geographic Information Science by Chang
  2. GIS Fundamentals: A First Text on Geographic Information Systems by Bolstad
  3. Imagery and GIS: Best Practices for Extracting Information from Imagery by Green, Congalton, and Tukman
  4. Cartography by Field
  5. Designing Better Maps: A Guide for GIS Users by Brewer
  6. How to Lie with Maps by Monmonier
  7. Python Scripting for ArcGIS Pro by Zandbergen
  8. Advanced Python Scripting for ArcGIS Pro by Zandbergen
  9. The SAGE Handbook of Remote Sensing by Warner (ed.)
  10. Learning QGIS by Graser

Data Science

  1. Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions by Frost
  2. Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models by Frost
  3. An Introduction to Statistical Learning by James, Witten, Hastie, and Tibshirani
  4. Applied Predictive Modeling by Kuhn and Johnson
  5. Feature Engineering and Selection by Kuhn and Johnson
  6. Modern Data Science with R by Baumer, Kaplan, and Horton
  7. R in Action by Kabacoff
  8. R for Data Science by Wickham and Grolemund
  9. The Grammar of Graphics by Wilkinson
  10. ggplot2: Elegant Graphics for Data Analysis by Wickham
  11. R Graphics Cookbook by Chang
  12. R Packages: Organize, Test, Document, and Share Your Code by Wickham
  13. Deep Learning with PyTorch by Stevens, Antiga, and Viehmann
  14. Modern Computer Vision with PyTorch by Ayyadevara and Reddy

Web Development and Web Mapping

  1. HTML & CSS: Design and Build Websites by Duckett
  2. JavaScript & jQuery: Interactive Front-End Web Development by Duckett
  3. PHP & MySQL: Server-Side Web Development by Duckett