Skip to content

rsbivand/ECS530_h22

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

40 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ECS530 Autumn 2022

NHH ECS530 2022 course: Spatial data analysis (with R)

A PhD-level course in spatial data analysis will be held 14-18 November 2022 in Bergen, Norway (quasi-hybrid format):

https://www.nhh.no/en/courses/analysing-spatial-data/

Three short "flipped" two-hour sessions were held Tuesdays 09:00-12:00 CEST September 20 and October 4 and 18 on-line for remote participants (these will be based on own study); a consultation slot November 1 (09:00-12:00 CET) was held to suggest topics for the intensive week, and to firm up project ideas. Intensive follow-up sessions will follow on-site 14-18 November (aud. M, 09:00-16:00) permitting interaction between participants.

Plan for week 14-18 November 2022

Data etc. download from https://github.com/rsbivand/ECS530_h22.

Monday 14/11

09:00-09:45 Introduction and set-up

10:00-11:30 Visualization and mapping with coordinate reference systems

11:30-12:00 Discussion

13:00-14:00 Visualization and mapping with coordinate reference systems (exercises)

14:00-14:15 #30DayMapChallenge https://30daymapchallenge.com/ https://fosstodon.org/web/tags/30DayMapChallenge https://twitter.com/search?q=%252330DayMapChallenge

14:30-15:30 Finding systematic patterns in variable/geographic space

Tuesday 15/11

09:00-09:45 Jakub Nowosad (zoom) Q&A Finding systematic patterns in geographic space

10:00-11:00 Finding systematic patterns in variable/geographic space (exercises)

11:00-12:00 External libraries, links to GRASS GIS, raster/terra

13:00-13:30 Geodemographics

13:30-14:30 Links to GIS, raster/terra, geodemographics (exercises)

14:45-15:45 Spatio-temporal cubes, juridicial change

Wednesday 16/11

09:00-10:00 Spatio-temporal cubes, juridicial change (exercises)

10:15-11:15 Global and local spatial autocorrelation

11:15-12:00 Data puzzles (support)

13:00-14:15 Global and local spatial autocorrelation (exercises)

14:30-15:30 Residual autocorrelation (exercises)

Thursday 17/11

09:00-10:15 Spatial autocorrelation and machine learning

10:30-11:30 Point pattern analysis

11:30-12:00 Point pattern analysis (exercises)

13:00-14:30 Transport, networks, transmission

14:45-15:45 Transport, networks, transmission (exercises)

Friday 18/11

Depending on the number of participants wishing to present project outlines (about 25 minutes, 10-15 minutes presentation, 10-15 minutes discussion, the number of slots may vary.

09:00-12:00 Presentation of up to six project outlines, with 20 min. break.

12:30-15:30 Presentation of up to six project outlines, with 20 min. break.

15:30-16:00 Round-up and feedback

External participants should have applied using this form before the 1 September deadline to permit processing before the first short session:

https://www.nhh.no/en/study-programmes/phd-programme-at-nhh/phd-courses/become-a-visiting-student-at-a-phd-course-at-nhh/

For further details see the course page; participants must cover their own travel and living costs; no support is offered, I'm afraid, apart from free tuition.

About

ECS530 course 2022

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published