Basics of GIS

Raster: Rasters are regularly gridded datasets like GeoTIFFs, JPGs, and PNGs.

In the GIS world, rasters are used for representing continuous phenomena (e.g. elevation, rainfall, distance), either directly as numerical values, or as RGB images created for humans to view. Rasters typically have two spatial dimensions, but may have any number of other dimensions (time, type of measurement, etc.)

Projections:  https://foote.geography.uconn.edu/gcraft/notes/mapproj/mapproj_f.html http://www.flexprojector.com/

 

Recommended Texts

  1. Elementary Statistics for Geographers (3rd ed.) by James E. Burt, Gerald M. Barber, and David L. Rigby
  2. The ESRI Guide to GIS Analysis, Volume 2: Spatial Measurements and Statistics by Andy Mitchell
  3. Geographic Information Systems and Science (3rd ed.) by Paul A. Longley, Michael F. Goodchild, David J. Maguire, and David W. Rhind
  4. Getting to Know ArcGIS Desktop (3rd ed.) by Tim Ormsby, Eileen Napoleon, Robert Burke, and Carolyn Groessl
  5. Getting to Know ArcGIS: Modelbuilder by David W. Allen
  6. Python Scripting for ArcGIS by Paul A. Zandbergen
  7. Quantitative Methods and Applications in GIS by Fahui Wang
  8. Statistical Methods for Geography: A Student’s Guide (3rd ed.) by Peter A. Rogerson

New Additions in Spatial Data Science

  1. Geocomputation with R by Robin Lovelace, Jakub Nowosad, and Jannes Muenchow
  2. Spatial Data Science with Applications in R by Edzer Pebesma and Roger Bivand
  3. Applied Spatial Data Analysis with R (2nd ed.) by Roger S. Bivand, Edzer J. Pebesma, and Virgilio Gómez-Rubio
  4. Spatial Data Analysis: Models, Methods, and Techniques by Manfred M. Fischer and Arthur Getis
  5. Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools (6th ed.) by Michael J. de Smith, Michael F. Goodchild, and Paul A. Longley