Resources by Platform
Esri Academy offers hundreds of tutorials designed to help you master Esri products, including ArcGIS Pro, ArcGIS Online, Dashboards, and more. Whether you're looking to learn specific tools and techniques like 3D visualization and analysis or enhance your field operations skills, Esri Academy provides a wealth of resources to suit your needs. While the platform offers many learning options, it's important to note that not all courses are free.
Esri Academy also features Learning Plans, curated pathways that guide you through a series of courses tailored to your learning objectives. These plans help you build expertise systematically, ensuring you gain comprehensive knowledge and skills in your chosen area of focus.
Books Available at the Library
Getting to Know Web GIS by Call Number: G70.212 .F79 2022ISBN: 9781589487277Publication Date: 2022-11-15
The Esri Guide to GIS Analysis, Volume 1 by Call Number: G70.212 .M58 2020ISBN: 9781589485792Publication Date: 2020-05-26
Top 20 Essential Skills for ArcGIS Online by Call Number: G70.212 .C37 2024ISBN: 9781589487802Publication Date: 2024-06-11
GIS Tutorial for ArcGIS Pro 3. 1 by Call Number: G70.212 .G67 2023ISBN: 9781589487390Publication Date: 2023-09-19
Books Available at the Library
Discover QGIS 3.x : a workbook for classroom or independent study by Call Number: G70.212 .M45 2022ISBN: 0986805254Publication Date: 2022
Exploring the Earth with QGIS by Call Number: G70.212 .R35 2023ISBN: 3031460413Publication Date: 2023-11-22
Additional Resources
- QGIS Tutorials and Tips by Ujaval Gandhi: Includes a list of online tutorials
- Introduction to QGIS: A Comprehensive Introduction to Mapping and Spatial Analysis with QGIS: Comprises of step-by-step instruction on various functionalities in QGIS
- QGIS Training Manual: QGIS Documentation including step-by-step lessons and use-cases
- Introduction to GIS with QGIS by Brown University
- Fundamentals of GIS: online module providing a comprehensive introduction to Geographic Information Systems, offering both theoretical insights and practical applications in Felt.
- YouTube Tutorials from Felt
Books Available at the Library
Additional Resources
- Geo-Python: a course that teaches you the basic concepts of programming and scientific data analysis using the Python programming language in a format that is easy to learn and understand (no previous programming experience required).
- Introduction to Python for Geographic Data Analysis by Henrikki Tenkanen, Vuokko Heikinheimo & David Whipp: An online version of the book “Introduction to Python for Geographic Data Analysis”, which introduces the basics of Python programming and geographic data analysis for all “geo-minded” people (geographers, geologists and others using spatial data).
- GeoPandas Tutorial: An Introduction to Geospatial Analysis: step-by-step tutorial for installing and utilizing Python GeoPandas library from data exploration to spatial operations.
- GeoPandas Tutorials: several tutorials on utilizing GeoPandas from choro legends, overalys, spatial joins, and more.
Books Available at the Library
Spatial Modeling in GIS and R for Earth and Environmental Sciences by ISBN: 0128152265Publication Date: 2019-01-21
Data Visualization by Call Number: QA76.9.I52 H43 2019ISBN: 9780691181615Publication Date: 2018-12-18
Additional Resources
- Geocomputation with R: online book on geographic data analysis, visualization and modeling.
- Spatial Data Science with R and "terra": resources to teach spatial data analysis and modeling with R.
- R for Data Science: online book to teach how to do data science with R. This book can be useful to learn how to structure, transform, and clean data.
- Spatial Data Science with Applications in R: online book that introduces and explains concepts underlying spatial data: points, lines, polygons, rasters, coverages, geometry attributes, data cubes, reference systems, as well as higher-level concepts including how attributes relate to geometries and how this affects analysis.
- Getting started with mapgl: tutorial to learn how to use the R package `mapgl`.
