To access all pages and datasets consider registering first. Already registered? Login here. Forgot your password?

Change Font Size

Change Screen

Change Profile

Change Layouts

Change Menu Styles

Cpanel

GEOSTAT News

Stay informed on our latest news!

Syndicate content

GEOSTAT tutorials

GEOSTAT software

Software iconList of FOSS software used in this course and installation instructions. Follow these instructions to prepare and customize the software before the beginning of the course.

Literature used

ASDAR bookList of books / lecture notes used in this course. See also: CRAN Task View: Analysis of Spatial Data.

Events

« February 2017 »
MonTueWedThuFriSatSun
12345
6789101112
13141516171819
20212223242526
2728

GEOSTAT Bergen 2014

The GEOSTAT Bergen 2014 Summer School is 9th in a series of summer schools organized by R and OS GIS developers and enthusiasts. GEOSTAT aims at PhD students and R-sig-geo enthusiasts in a range of environmental and GIS sciences, with a special focus on analyzing spatio-temporal gridded data in R and connected OS GIS software.

The registrations for this event are closed. Rankings are available here.

Period: 15 June (Sunday) to 22 June (Sunday) 2014

Connected event:

DailyMeteo.org/2014 Banner

The participants will learn how to import and organize space-time data i.e. time series of points, lines and rasters and how to program statistical and geographical analysis using a combination of R and OS GIS functionality.


Lecturers / topics

Roger Bivand   Roger Bivand: Representing and handling spatial and spatio-temporal data in R
Robert Hijmans   Robert Hijmans: Spatial modeling with environmental data (raster and dismo packages)
Edzer Pebesma   Edzer Pebesma: Spatial and spatio-temporal statistics with R: an introduction
Barry Rowlingson  

Barry Rowlingson: Geospatial data in Python, QGIS and R

Tomislav Hengl   Tomislav Hengl: plotKML tutorial (visualization of spatial and spatio-temporal data from R to Google Earth)
Markus Metz   Markus Metz: GRASS GIS 7 tutorial / update
  Benedikt Gräler: Spatio-temporal geostatistics: choosing and fitting models, interpolation (gstat tutorial)

General topics of interest:

  • New software packages / new functionality for spatio-temporal data (R and OSGeo)
  • Working with raster stacks (raster package)
  • Data formats (classes) and methods for spatio-temporal data (sp, spacetime packages)
  • Reading and writing spatial and spatio-temporal data (rgdal, sp, spacetime packages)
  • Overlay, aggregate, summarize and subset operations with spatio-temporal data
  • Round table on parallel computing: challenges and opportunities
  • Combining geographical and statistical computing (R + GRASS GIS, R + SAGA GIS, R + QGIS)
  • Application of R+OSGeo tools in: spatio-temporal monitoring, geostatistical mapping, point pattern analysis, epidemiology...
  • Visualization of spatio-temporal data (plotKML, rasterVis)

Target audience

PhD students and researchers working with spatial and spatio-temporal data. Interest groups: R SpatialR Spatio-temporalGRASS GISSAGA GIS.


Venue

The school will be hosted at the Norges Handelshøyskole (NHH) the Norwegian School of Economics in Bergen Norway. The course will benefit from streaming facilities in NHH’s new building, as all sessions are streamed free worldwide, and subsequently made available. The participants will be hosted in the two workshop rooms (labs 1 and 2) with 30-40 seats and 2 x 80 seat lecture theatres (auditoriums B and C) with built-in streaming. Please note that there are no parking places for participants' cars on campus; there are plenty of places for bicycles.

 

Auditorum B (C)

Lab B


Your computer

The summer school does not provide computers, so you should bring your own laptop computer. Power points are available for all lecture room seats (European standard earthed socket - please bring your own adapter if you need one). Wifi is provided using Eduroam  and/or guest wifi with a 12-hour validity SMS password (can be repeated). We will be assuming that R 3.1.0 is used. The programme sessions below will list the software which should be pre-installed for each session (you may have much of it on your computer already). We will try to help with installation during computer practicals, but the more you have prepared before you arrive, the more time there will be for more interesting things.

If you use OSX Mavericks and need the rgdal and rgeos packages, please see Brian Ripley's post. Note that downstream packages may not be available until binaries are built using the CRANxtras rgdal and rgeos binaries. (Until 12 May, it was not advisable to use the Mavericks build of R 3.1.0, as many geospatial software packages are not yet available for binary installation - see Brian Ripley's post, and followup specifically on rgdal; read other posts in the thread and read the May archives for updates).


Daily programme

(Download here)

Registration at NHH entrance A: Sunday 15th June 16.00-19.00, Monday 16th June 8.00-9.00; registration desk open during breaks or contact a local helper.

For Live broadcast options see: http://geostat-course.org/Live

DAY 1 - Monday, 16th June: Introduction to GEOSTAT (all in auditorium C unless otherwise stated, streamed here)

time

topic

format

lecturer

9.00-9.15

The official opening

 

 

9.15-10.00

Welcome note and course overview (introduction to GEOSTAT)

lecture

T. Hengl

10.00-10.30

Representing and handling spatial and spatio-temporal data in R (slides, script+data, installPackages, package_list)

lecture R. Bivand

10.30-11.00

Coffee break

 

 

11.00-12.10

Representing and handling spatial and spatio-temporal data in R (continued)

lecture

R. Bivand

12.10-12.30 Spatio-temporal data, R and the Institute of Marine Research, Bergen presentation G. O. Johansen

12.30-13.30

Lunch

 

 

 

13.30-15.00

Spatial modeling with environmental data

lecture

R. Hijmans

15.00-15.30

Coffee break

 

 

15.30-17.00

Geospatial Python

lecture

B. Rowlingson

17.00-18.00

Snack

   

18:00-20:00

Lab 1: Crash course in R (optional) /

Lab 2: Crash course in Python

computer practical

T. Hengl

B. Rowlingson

 

DAY 2 - Tuesday, 17th June:

time

workshop A

(auditorium C streamed here and Lab 1)

workshop B

(auditorium B streamed here and Lab 2)

format

9.00 - 10.30

Robert Hijmans: Spatial modeling with environmental data

Tom Hengl: Geocomputing with R + SAGA GIS

lecture

10.30 - 11.00

Coffee break

 

 

11.00 - 12.30

Robert Hijmans: Spatial modeling with environmental data

Tom Hengl: Geocomputing with R + SAGA GIS

computer practical

12.30 - 13.30

Lunch

 

 

13.30 - 15.00

Robert Hijmans: Spatial modeling with environmental data

Tom Hengl: Geocomputing with R + SAGA GIS

lecture

15.00 - 15.30

Coffee break

 

 

15.30 - 17.00

Robert Hijmans: Spatial modeling with environmental data

Tom Hengl: Geocomputing with R + SAGA GIS

computer practical

17.00-17.45

Snack

   

17:45-19.00

Round table on parallel computing - lecturers in Bergen and Jonathan Greenberg (by wire)

 

 

 

DAY 3 - Wednesday, 18th June:

time

workshop A

(auditorium C streamed here and Lab 1)

workshop B

(auditorium B streamed here and Lab 2)

format

9.00 - 10.30

Edzer Pebesma: Spatial and spatio-temporal statistics with R: an introduction

Markus Metz: GRASS GIS 7 tutorial / update

lecture

10.30 - 11.00

Coffee break

 

 

11.00 - 12.30

Edzer Pebesma: Spatial and spatio-temporal statistics with R: an introduction

Markus Metz: GRASS GIS 7 tutorial / update

computer practical

12.30 - 13.30

Lunch

 

 

13.30 - 15.00

Edzer Pebesma: Spatial and spatio-temporal statistics with R: an introduction

Markus Metz: GRASS GIS 7 tutorial / update

lecture

15.00 - 15.30

Coffee break

 

 

15.30 - 17.00

Edzer Pebesma: Spatial and spatio-temporal statistics with R: an introduction

Markus Metz: GRASS GIS 7 tutorial / update

computer practical

19:30

Gala dinner (Zafran, Nygårdsgaten 53, 5008 Bergen)

 

 

 

DAY 4 - Thursday, 19th June:

time

workshop A

(auditorium B streamed here and Lab 1)

workshop B

(auditorium C streamed here and Lab 2)

format

9.00 - 10.30

Barry Rowlingson: Geospatial data in Python, QGIS and R

Ben Gräler: Spatio-temporal geostatistics: choosing and fitting models, interpolation (gstat tutorial)

lecture

10.30 - 11.00

Coffee break

 

 

11.00 - 12.30

Barry Rowlingson: Geospatial data in Python, QGIS and R

Ben Gräler: Spatio-temporal geostatistics: choosing and fitting models, interpolation (gstat tutorial)

computer practical

12.30 - 13.30

Lunch

 

 

13.30 - 15.00

 

Tom Hengl: visualization of spatial and spatio-temporal data from R to Google Earth

Ben Gräler: Spatio-temporal geostatistics: choosing and fitting models, interpolation (gstat tutorial)

lecture

15.00 - 15.30

Coffee break

 

 

15.30 - 16.45

Tom Hengl: visualization of spatial and spatio-temporal data from R to Google Earth

Ben Gräler: Spatio-temporal geostatistics: choosing and fitting models, interpolation (gstat tutorial)

computer practical

17.00-18.15

Round table on visualisation - lecturers in Bergen and Oscar Perpiñán Lamigueiro (by wire) - download zip archive from this link to slides

   

 

DAY 5 - Friday, 20th June: open day

 

time

topic

format

lecturer

9.00 - 10.30

Sampling in space and in space-time

lecture

T. Hengl
R. Bivand

10.30 - 11.00

Coffee break

 

 

11.00 - 12.30

Some theory for spatial and spatio-temporal data

lecture

S. Henrik Finne

12.30 - 13.30

Lunch

 

 

13.30 - 15.30

GRASS GIS raster / advanced functionality

Importing and reprojecting MODIS images using gdalUtils

lecture

M. Metz /

T. Hengl

15.30 - 16.00

Coffee break

 

 

16.00 - 17.00

Closing session and awards

   

17.00 - 20.00

Orientation game

   

 

DAY 6 - Saturday, 21st June: excursion

time

 

moderator

9.00 - 18.30

Excursion: Starts at Bergen bus station (Blomsterpaviljongen, along the south west side on Fjøsangerveien)

We are going to Havråtun and Lyngheisenter. Traditional meal at Lyngheisenter.

F. Morency-Lavoie

Course fees

The course fee for this summer school is NOK 3300; this covers the actual costs, no profits are made. The organizers provide no funding/scholarships to participants, but accepted registered participants with a permanent residence and/or employer from the ODA listed countries will be offered a subsidized course fee (the amount will be stated in the individual confirmation letter sent to each participant).


Arriving to Bergen

Bergen has a small but international airport with direct flights to some 50+ European destinations (see the complete list). Participants can also fly to an Oslo airport (Gardermoen OSL, Rygge RYG, or Torp TRF), then take a train over Hardangervidda (takes about 7h).


Accommodation/Travel in Bergen

Please note that participants must book accommodation themselves, and it is advisable to book as soon as you can. Different options are available.

The course venue is at the Norwegian School of Economics, 4km north of the city centre. Access to the venue may be on foot, by cycle, or public transport. Buses to the venue come from the city centre, up to 20 per hour. Information about public transport is given by Skyss, with tickets such as the 7-day ticket (NOK 215, about €26) being an attractive possibility permitting a wide range of accommodation options. If you are a registered student and under 32 years old, you must have an valid ISIC-card to qualify for the NOK 130 discounted rate. These tickets are valid for Bergen (1/2 zones). See the OSM transport layer for more information about where public transport goes.

General information about accommodation in Bergen is available from VisitBergen.

Sharing

For those who you would like to share rooms with other participants, you can meet on the G+ Forum on the Geostat Community here.

Our tips:

A) Hotels

Lecturers will be staying at Sandviken Brygge Hotel, the closest hotel to the venue (map), walking distance. Please contact the hotel directly if you would like to stay there, saying that you are taking part in the Geostat 2014 course.

B) Youth Hostels and low-cost hotels


There are others, including bed and breakfast, please search for availability at VisitBergen or other sites.

C) Private Apartments

Participants attending intensive courses in Bergen often form small groups and jointly rent an apartment for a week. There are a number of websites giving information, such as:


D) Student housing

We are in negotiation with the student association in Bergen (SiB) (the organization that manages student housing in Bergen). We may be able to obtain some available rooms but both whether this is possible, or how much it may cost, remain unclear. Please contact us if you are interested, but remember that it is possible that SiB will not provide any rooms, or rooms at a moderate rate.

Here is some information about the kinds of rooms, but we believe that the minimum rental period is at least 3 weeks. The Hatleberg location is very close to the course venue, the others involve using public transport. SiB may be an opportunity for participants planning to stay in Bergen for a longer period.

Please contact Felix Morency-Lavoie and/or Roger Bivand if you need more information.


Key dates

  • First call out: 18th January 2014
  • Registration deadline: 1st March 2014
  • Published rankings (invitation letters sent out): 18th March 2014
  • Expired deadline for registration fees: Wednesday 30 April
  • Deadline for delayed/waiting list registration fees: Friday 23 May at 14.00 CEST
  • Final program of the summer school: 25th May 2014

Contacts


Live updates / support

For Live broadcast options see: http://geostat-course.org/Live

Follow this event on G+:

G+ Community


Orientation game

On the last day of the summer school (Friday or Saturday) we will run an outdoor orientation game. Participants will be split in groups and will be asked to follow instructions and navigate in an area and fulfill the tasks (typically combination of general knowledge and spatial calculus).  


Spatial prediction competition game

At each GEOSTAT, a spatial prediction game is organized in which the participants try to solve a spatial prediction problem and produce an analytical solution (see an example). The spatial prediction competition has been inspired by the Spatial Interpolation Comparison exercises. The best performing method / competitor is awarded at the end of the summer school (the award for the best performing idea is usually an Amazon gift card for books).

The deadline to submit predictions is Friday 20th of June exactly at 16:00 Central European Time (just after the coffee break).

Location

Norges Handelshøyskole (NHH)
Helleveien 30
N-5045 Bergen
Norway
60° 25' 22.5876" N, 5° 18' 8.658" E
AttachmentSize
geostat_talk_140616.pdf8.1 MB
geostat14.zip2.25 MB
installPackages.R220 bytes
packages.txt56 bytes
calendar_2014-06-15_2014-06-22.pdf14.09 KB
Screenshot from 2014-06-20 11:44:59.png111.98 KB
MODIS_example.R1.96 KB
You are here