Geohackweek

Workshop on geospatial data science

University of Washington eScience Institute

November 14-18, 2016

About Geohackweek

Geohackweek is a 5-day workshop to be held at the University of Washington eScience Institute. Participants will learn about open source technologies used to analyze geospatial datasets.

Mornings will consist of interactive lectures, and afternoon sessions will involve facilitated exploration of datasets and hands-on software development.

This format is inspired by astrohackweek and neurohackweek, similar programs focused on astrophysics and neuorphysics.

Information for applicants

To best benefit from the program, participants are expected to have some experience with Python programming and with analysis of geospatial data (e.g. remote sensing analysis, vector mapping, environmental modeling, etc.).

Instructors

DAY 1: Monday November 14

Time Activity / Session Location Instructor(s)
8:15 - 9:00 am Breakfast (provided) Data Science Studio All
9:00 - 9:30 am Icebreaker and team networking to share project ideas Data Science Studio All
9:30 - 11:00 am git/GitHub DSS Meeting Room Bernease Herman, Catherine Kuhn
9:30 - 11:00 am git/GitHub DSS Seminar Room Ben Weinstein, Ian Rose
11:00 - 11:15 pm Break
11:15 am - 12:15 pm Python basics, docker, conda, Jupyter notebooks DSS Seminar Room Ian Rose, Landung "Don" Setiawan, Allison Smith, Rob Fatland
11:15 am - 12:15 pm Python basics, docker, conda, Jupyter notebooks DSS Meeting Room Ian Rose, Landung "Don" Setiawan, Allison Smith, Rob Fatland
12:15 pm - 1:15 pm Lunch (Provided) Data Science Studio All
1:30 pm - 3:00 pm Python tools for raster data DSS Seminar Room James Douglass, Ben Hudson
1:30 pm - 3:00 pm Python tools for vector data DSS Meeting Room Emilio Mayorga, Landung "Don" Setiawan
3:00 - 3:30 pm Walk to Anderson Hall
3:30 - 4:25 pm Google Earth Engine (GEE) introductory (lecture) Anderson Hall, 223 Tyler Erickson, Nick Clinton
4:25 - 4:35 pm Walk to Odegaard Undergraduate Library
4:35 pm - 5:50 pm GEE Code Editor GUI / Javascript API (hands-on) Odegaard Undergraduate Library 136 Tyler Erickson, Nick Clinton
6:00 - 8:00 pm Welcome reception (dinner and drinks provided) Data Science Studio

DAY 2: Tuesday November 15

Time Activity / Session Location Instructor
8:15 - 9:00 am Breakfast (provided) Data Science Studio All
9:00 am - 10:30 am Python tools for vector data DSS Meeting Room Emilio Mayorga, Landung "Don" Setiawan
9:00 am - 10:30 am Python tools for raster data DSS Seminar Room James Douglass, Ben Hudson
10:30 - 10:45 pm Break
10:45 am - 12:15 pm Earth Engine Python API + Jupyter DSS Meeting Room Tyler Erickson
10:45 am - 12:15 pm Advanced concepts with the Javascript API DSS Seminar Room Nick Clinton
12:30 - 2:00 pm Lunch (Provided) Data Science Studio All
2:00 - 5:30 pm Project work Data Science Studio All
Evening Free

DAY 3: Wednesday November 16

Time Activity / Session Location Instructor
8:15 - 9:00 am Breakfast (provided) Data Science Studio All
9:00 am -10:30 am Multidimensional array analysis DSS Meeting Room Joe Hamman, Anthony Arendt
9:00 am -10:30 am Geoscience visualization tools DSS Seminar Room Randy LeVeque, Ben Hudson
10:30 - 10:45 pm Break
10:45 am - 12:15 pm Multidimensional array analysis DSS Meeting Room Joe Hamman, Anthony Arendt
11:45 am - 12:15 pm Geoscience visualization tools DSS Seminar Room Randy LeVeque, Ben Hudson
12:30 pm - 1:30 pm Lunch (Provided) Data Science Studio All
1:30 - 3:15 pm Open session and project work Data Science Studio All
3:15 - 3:30 pm Walk to Anderson Hall
3:30 - 4:20 pm School of Environmental and Forest Science (SEFS) Seminar Anderson Hall, 223
4:30 - 5:30 pm SEFS reception Anderson Hall, Forest Club Room

DAY 4: Thursday November 17

Time Activity / Session Location Instructor
8:15 - 9:00 am Breakfast (provided) Data Science Studio All
9:00 am - 10:30 am Access to remote geospatial datasets using Python DSS Seminar room Emilio Mayorga, Landung "Don" Setiawan
9:00 am - 10:30 am Deployment of cloud computing services DSS Meeting room Rob Fatland, Amanda Tan
10:30 - 10:45 pm Break
10:45 am - 12:15 pm Access to remote geospatial datasets using Python DSS Seminar room Emilio Mayorga, Landung "Don" Setiawan
10:45 am - 12:15 pm Deployment of cloud computing services DSS Meeting room Rob Fatland, Amanda Tan
12:30 pm - 1:30 pm Lunch (Provided) Data Science Studio All
1:30 pm - 5:00 pm Open session and project work Data Science Studio All

DAY 5: Friday November 18

Time Activity / Session Location Instructor
8:15 - 9:00 am Breakfast (provided) Data Science Studio All
9:00 am - 10:30 am Finalizing project work DSS Seminar room All
10:30 am - 11:00 am Coffee
11:00 am - 11:30 am Reproducibility discussion DSS Meeting Room David Beck
11:30 am - 12:30 pm Team breakout to discover future directions DSS Meeting Room All
12:30 pm - 1:30 pm Lunch (Provided) Data Science Studio All
1:30 pm - 4:00 pm Project presentations DSS Seminar Room All

Visit our wiki page for more details on schedule and logistics

Geohackweek wiki

You can view ongoing projects here

Geohackweek projects

Contact

Questions? Contact us!

arendta@uw.edu