Week 1: Logistics and Welcome!
https://slides.com/staceymaples/toagsak/live
https://slides.com/staceymaples/toagsak/live
We've got a few questions about your access to technology, timezones, etc... for planning purposes. Please, as soon as possible fill out this form:
https://forms.gle/RtuncGieqRnozHET8 (Links to an external site.)
We've also made an anonymous form you can submit any ideas, issues or concerns you have, so that there won't be any barrier to feedback you think we need to hear:
Stace Maples
(maples@stanford.edu) / Stanford Slack: @mapninja
Lucy Culpepper Edy
(lcedy@stanford.edu) / Stanford Slack: @Lucy Edy
Jacob Sujin Kuppermann
(jkupperm@stanford.edu) / Stanford Slack: @Jkupperm
The goal of this course is to provide students with hands-on experience in using the latest geospatial methodologies, and to establish the foundation for students to use “spatial thinking” and spatial technologies to enhance their future research and work.
Live & asynchronous lecture & demonstration, weekly asynchronous & live computer labs, mini-project, in-class collaboration, discussion and guest speakers.
Lectures:
Monday, 10am – 11:20am
Live Lecture Sessions will be recorded and posted to Canvas
Labs:
Wednesday, 10am – 11:20am
There are 7 mandatory lab assignments for the class.
Remember to always contact the instructor or TA before, or if, you miss anything.
Week | Topic | Due |
---|---|---|
1 | Logistics & Introduction to Spatial concepts and applications | Lab 0 & Preparations |
2 | Cartographic Modeling, Vector & Raster data models; Datums, Coordinate Systems & Projections | Lab 1 Due Friday |
3 | Data Acquisition, Creation & Georeferencing; Cartography & Presentation | Lab 2 Due Friday |
4 | Attribute Data Management; Table and spatial query | Project Proposals Due Friday |
5 | Web maps: How they work and how we build them; Geocoding and other APIs for Spatial Data | Lab 3 Due Friday |
6 | Overlay and Distance; Spatial Statistics & Interpolation | Lab 4 Due Friday |
7 | Introduction to Raster Analysis; Terrain Analysis | Lab 5 Due Friday |
8 | Map Algebra | Lab 6 Due Friday |
9 | Remote Sensing of the Earth; Drones, Machine Learning and other Earth-Observing | Lab 7 Due Friday |
10 | GPS System & Building Field Data Acquisition apps; Crowdsourcing; Future Trends | Final Projects Due Wednesday |
Lab exercises 50%
Project Proposals 10%
Final Project 30%
Project Presentations 10%
Dates to Remember:
Project Proposal Due: Friday, Oct. 9, Week 4
Project Report Due: Wednesday, Nov. 18th, Week 10
Office(less) Hours:
TBD
At least 3 Office Hours sessions per week, at widely different day/times.
Based on feedback from the form sent in the first announcement, so if you haven't...
PLEASE COMPLETE THAT FORM FOR US NOW!!
This course is about using technology in research, and so will require some basic computer access.
At a minimum, students will need
Software and data will be provided, and Stanford-provided storage (Google Drive, box.com (Links to an external site.), etc…) should be sufficient for all labs and projects.
This is going to be fun
Ruscha