Stanford Geospatial Center resources for education & research: Self-paced learning resources
Remote Learning Resources
- SGC workshops & materials
- learn.arcgis.com
- qgistutorials.com
- datacarpentry.org
- Google Earth Engine tutorials
- Planet School
- Other Spatial Ed of interest
https://learn.arcgis.com/en/ is Esri’s main tutorial and lessons distribution site for all software platforms, including ArcGIS Desktop, ArcGIS Pro, ArcGIS Online and more. You will find a Gallery with the ability to facet by software platform, applications area, and more. There are also Tracks which combine a series of tutorials to create a complete introduction to a particular application area.
Suggested Tracks
Below I have selected a few tracks that may be of interest to users of the ArcGIS platform for research and teaching.
Getting Started with Maps and Data in ArcGIS Online
https://learn.arcgis.com/en/paths/getting-started-with-maps-and-data-in-arcgis-online/
A beginner's guide to ArcGIS Online
Try Collector
https://learn.arcgis.com/en/paths/try-collector/
Use your smartphone or tablet to collect and update information in the field, whether connected or disconnected.
GIS in the Age of Community Health
https://learn.arcgis.com/en/paths/gis-in-the-age-of-community-health/
Arm yourself with hands-on skills and knowledge of how GIS tools can analyze health data and better understand diseases.
Resources for Teaching with ArcGIS Pro
https://learn.arcgis.com/en/paths/resources-for-teaching-with-arcgis-pro/
Learn path for your students to become familiar with ArcGIS Pro
Data Collection
https://learn.arcgis.com/en/paths/try-arcgis-for-official-statistics-data-collection/
Part of a series of paths created for business analytics, this 'Path' represents a fairly comprehensive overview of the various tools for collecting data using the Esri/ArcGIS ecosystem.
QGIS Tutorials and Tips v1.0
https://www.qgistutorials.com/en/docs/introduction.html
The labor of love of Ujaval Gandhi [@spatialthoughts], a Googler in India. Comprehensive and newly updated for QGIS 3.x, these are the best task-based tutorials for QGIS, out there. Available in more than a dozen translations.
QGIS Tutorials and Tips
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- Overview
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- Basic GIS operations
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- Making a Map (QGIS3)
- Working with Attributes (QGIS3)
- Importing Spreadsheets or CSV files (QGIS3)
- Basic Vector Styling (QGIS3)
- Calculating Line Lengths and Statistics (QGIS3)
- Basic Raster Styling and Analysis (QGIS3)
- Raster Mosaicing and Clipping (QGIS3)
- Working with Terrain Data
- Working with WMS Data
- Working with Projections
- Georeferencing Topo Sheets and Scanned Maps (QGIS3)
- Georeferencing Aerial Imagery (QGIS3)
- Digitizing Map Data
- Searching and Downloading OpenStreetMap Data (QGIS3)
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- Advanced GIS operations
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- Nearest Neighbor Analysis (QGIS3)
- Sampling Raster Data using Points or Polygons (QGIS3)
- Interpolating Point Data
- Batch Processing using Processing Framework (QGIS3)
- Automating Complex Workflows using Processing Modeler (QGIS3)
- Automating Map Creation with Print Layout Atlas (QGIS3)
- Multi Criteria Overlay Analysis (QGIS3)
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- Python Scripting (PyQGIS)
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- new! PyQGIS in a Day - Course Material ↗
- Getting Started With Python Programming (QGIS3)
- Running Processing Algorithms via Python (QGIS3)
- Building a Python Plugin (QGIS3)
- Building a Processing Plugin (QGIS3)
- Using Custom Python Expression Functions (QGIS3)
- Writing Python Scripts for Processing Framework (QGIS3)
- Running and Scheduling QGIS Processing Jobs
- Performing Table Joins (PyQGIS)
Data Carpentry trains researchers in the core data skills for efficient, shareable, and reproducible research practices. We run accessible, inclusive training workshops; teach openly available, high-quality, domain-tailored lessons; and foster an active, inclusive, diverse instructor community that promotes and models reproducible research as a community norm.
Lesson materials are all available online, under a CC BY license, for self-directed study or for adaptation and re-use (as "Carpentries-based" training).
Data Carpentry Lessons
https://datacarpentry.org/lessons/
Data Carpentry workshops are domain-specific, so that we are teaching researchers the skills most relevant to their domain and using examples from their type of work.
Geospatial Data Curriculum
https://datacarpentry.org/lessons/#geospatial-curriculum
This workshop is co-developed with the National Ecological Observatory Network (NEON). It focuses on working with geospatial data - managing and understanding spatial data formats, understanding coordinate reference systems, and working with raster and vector data in R for analysis and visualization.
Join the geospatial curriculum email list to get updates and be involved in conversations about this curriculum.
Software Carpentry Lessons
https://software-carpentry.org/lessons/
Software Carpentry teaches researchers the computing skills they need to get more done in less time and with less pain.
Library Carpentry Lessons
https://librarycarpentry.org/lessons/
Library Carpentry workshops teach people working in library- and information-related roles
Getting Started with Google Earth Engine:
The best quick Introduction to Google Earth Engine is the GEE 101 Series of workshops, created by the Google Earth Engine Developer Team:
https://developers.google.com/earth-engine/ttt#instructor-reference-for-a-beginning-workshop
More Guides and Quick Starts from Google Earth Engine:
API Tutorials: https://developers.google.com/earth-engine/tutorials
Machine Learning in GEE: https://developers.google.com/earth-engine/machine-learning
GEE Developer's Guide: https://developers.google.com/earth-engine
Planet School
Planet School is aimed at data scientists, software engineers, imagery analysts, and more: anyone who is engaged in working with Earth Observation imagery and interested in learning more about basic EO and geospatial concepts.
Below you'll find a collection of self-guided tutorials with the information you need to get up to speed on tools and technology that will let you get the most out of Planet's data.
Planet 101
A gentle introduction to foundational concepts. New to geospatial data, or working with APIs? Start here.Building a Toolbox
Get up and running with a collection of popular free & open-source tools for working with geospatial dataUsing Planet Tools
Hands-on guides that use Planet's GIS integrations and open-source toolsBeyond the Basics
Hands-on with more focused topics, building on what you've already learnedWorking with Planet APIs
Focused guides to common tasks and workflows using Planet APIsDeep Dives in Python
Ready to take your skills to the next level? Our extensive collection of free and open source Jupyter Notebooks is here to guide you through a number of intermediate-to-advanced level examples.mapschool.io
a free introduction to geo
Geospatial Analysis, 4th Edition
https://spatialanalysisonline.com/HTML/index.html
by de Smith, Goodchild, Longley
Making Maps for the Web
https://github.com/veltman/learninglunches/tree/master/maps
The NCGIA Core Curriculum
https://ibis.geog.ubc.ca/courses/klink/gis.notes/ncgia/
The official reference for this material is: Goodchild, M.F., and K.K. Kemp, eds. 1990. NCGIA Core Curriculum in GIS.
National Center for Geographic Information and Analysis, University of California, Santa Barbara CA.
The NCGIA Core Curriculum literature provides fundamental course content assistance for educators as lecture materials. The compilation is not meant to be a comprehensive textbook, but rather several lecture note outlines.
- Last Updated: Sep 20, 2024 3:34 PM
- URL: https://guides.library.stanford.edu/sgc
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