ECS 530 Analysing spatial data
| Intensive PhD course at Department of Economics, Norwegian School of Economics and Business Administration May 3-10, 2011. |
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| Duration and credit: | The course will consist of lectures and lab exercises in weeks 18-19 Tuesday May 3 to Tuesday May 10 (possible spatial econometrics supplement 11-13 May; see timetable below). The credits given for participation and approved project will be 7.5 ETCS. |
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| Lecturer: | Roger Bivand, professor, Norwegian School of Economics and Business Administration. | |
| Teaching language: | English. | |
| Course approval: | Project submitted 1 July 2011. Evaluation: Pass/Fail. |
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| Course prerequisites: | Basic knowledge of R and applied statistics/empirical analysis of quantitative data relevant for participants' disciplines. | |
| Computer requirements/ tools: |
Course software: main focus on R and core packages in the Spatial task view; interfaces to GIS file formats. Participants should bring their own laptops, preferably with R installed; the course room has good WiFi capacity. | |
| Literature: | Course materials and recommended articles will be made available in the teaching support system its:learning for registered participants. |
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Because of the heterogeneity of interests of course participants, the reading requirement will be met by handing in a reading list of about 800 pages together with the course project due 1 July 2011 - obviously, there will be a big overlap with the project references. Initially, a number of books will be suggested, and a range of PDF copies of book chapters, journal papers, and working notes will be posted in the PDF folder in it's learning.
Core books
- Roger S. Bivand, Edzer J. Pebesma, and Virgilio Gómez-Rubio. Applied Spatial Data Analysis with R. Springer, New York, 2008 (see discount info).
- Joseph Adler. R in a Nutshell. O'Reilly, Sebastopol CA, 2010.
Other books
Only some chapters of some of these books may be relevant for each participant.
- Bailey, Trevor and Antony Gatrell. 1995. Interactive Spatial Data Analysis, Harlow, Longman.
- Banerjee, Sudipto, Bradley Carlin and Alan Gelfand. 2004. Hierarchical Modeling and Analysis for Spatial Data. Boca Raton: CRC. (data sets)
- Dalgaard, Peter. 2008. Introductory Statistics with R, New York, Springer.
- Fortin, Marie-Josée and Mark Dale. 2005. Spatial Analysis, a Guide for Ecologists. Cambridge: Cambridge University Press.
- Gaetan, Carlo and Xavier Guyon. 2010. Spatial statistics and modeling, New York, Springer.
- Haining, Robert. 2003. Spatial Data Analysis: Theory and Practice. Cambridge: Cambridge University Press.
- O'Sullivan, D. and Unwin, D.J. 2010. Geographic Information Analysis. Hoboken, NJ: Wiley.
- Waller, Lance and Carol Gotway (2004) Applied Spatial Statistics for Public Health Data, Hoboken, NJ: Wiley. (data sets)
More to follow!!
Software
We will be using R, which should also be installed on your own machines. The first day 3 May will be used to help participants get friendly with R, but please try to do what you can in advance. The R sites have plenty of contributed documentation.
Timetable
The course will be held at NHH's campus, Helleveien 30, 5045 Bergen, in Aud. 14. There will be organised classes during the weekend. The final days include time to give participants an opportunity to get immediate feedback from the other participants and the instructor on their course projects.
If there are requests for more spatial econometrics content, this will follow the feedback/interaction period for those interested.
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DayRoomTimeTopic
Tuesday May 3 Aud 14 Introduction to R. Wednesday May 4 Representing spatial data in conceptual and practical terms. Thursday May 5 Non-spatial visualisation and analysis of spatial data. Friday May 6 The analysis of point patterns. Saturday May 7 Interpolation and geostatistics. Sunday May 8 Areal data and spatial econometrics. Monday May 9 Disease mapping (including using WinBUGS from R). Tuesday May 10 Project preparation, supervision, and presentation. Wednesday May 11 (if requested) spatial econometrics: interpreting spatial models. Thursday May 12 (if requested) spatial econometrics: GMM fitting. Friday May 13 (if requested) spatial econometrics: spatial panel models.
Further information:
Student registration
If you plan to attend, please remember to register for the course. If you have any questions concerning the course as such or your participation, please contact Roger Bivand.
To get credit for this course, your registration must be accepted in advance.
Non-NHH PhD students should send in a completed form where they apply for visiting status ("hospitant status") for ECS530 Analysing spatial data. The deadline for apllications is xxx, applications will be processed in order of receipt, and the available places on the course filled in that order.
Credit will be granted on the basis of lecture attendance and completed assignments.
If you need help in completing the form for this course, please contact Dagny Kristiansen, Department of Economics, NHH, Helleveien 30, N-5045 Bergen, Norway - Fax (47)55 95 95 43.
Accommodation
We are not able to organise any accommodation for visiting students, nor to advise on finding accommodation. You will, however, find useful information about accommodation in Bergen here:
http://www.bergen-guide.com/accommodation.asp
There is also a student hostel (Hatleberg Studenthjem) within walking distance from the school (phone (47)55 95 74 00 - E-mail: bolig@sib.uib.no
