GEOSTAT 2007-2014a brief history (+ our philosophy)

Tom Hengl

Welcome to GEOSTAT!

Not every GEOSTAT = Summer School

GEOSTAT 2009 Split

What is GEOSTAT?

GEOSTAT is a non-profit, specialized, block course (summer school) run by

FOSS enthusiasts and developers.

GEOSTAT = hands-on FOSS training

The main idea of GEOSTAT is to promote various aspects of statistical analysis of spatial and spatio-temporal data using open source / free GIS tools: R, SAGA GIS, GRASS GIS,

FWTools, Google Earth and similar.

GEOSTAT = Live R-sig-geo

R-sig-geo

GEOSTAT

virtual

physical

What is specific about GEOSTAT?

Open source GIS software often develops independently from R packages -> there is a

need to connect the two societies...

"GEOSTAT is where Statistical computing meets geographical computing"

Previous meetings

2007 Naples (IT) 2008 Amsterdam (NL) 2009 Split (HR) 2010 Plasencia (ES) 2011 Landau (DE) 2012 Muenster (DE) 2013 Quebec City (CA)

Local GEOSTAT: Zagreb (2004), Ispra (2007), Canberra (2011), Belgrade (2011),

GEOSTAT is possible mainly thanks to:

About

GEOSTAT is an intensive course (a "crash course")

It is really intended for people who pick up new methods/tools quickly and have a high motivation to learn (PhD students?)

... we can not promise that you will manage to master these tools in such a short time

Main principles

The location is selected by the lecturers. The course programme is largely shaped by the

participants. Selection of candidates is based on solidarity,

academic output and contributions to open source projects.

Participants come with their own laptop computers. GEOSTAT makes no profit.

The six pillars of open geo-data

1. open data, in real-time2. open source geospatial software3. open, reproducible procedures4. open, web-based, methods for data and processing

models (interoperability)5. open and explicitly quantified significance and accuracy

levels of research findings6. managed, open user and developer communities

by Edzer Pebesma

How does it work?

1. First, we collect applications for hosting.2. Lecturers vote for the best candidate based on a

matrix (spatio-temporal optimum).3. Registrations open 4-6 months before the beginning.4. Candidates are selected based on 4 key criteria. The

rankings are published 3 months before the beginning.

Registrations Bergen

Lecturers at the GEOSTAT Bergen

Course programme

DAY 1 - Monday: introduction (crash course in R / Python)

DAY 2 - Tuesday: Tutorials DAY 3 - Wednesday: Tutorials DAY 4 - Thursday: Tutorials DAY 5 - Friday: Open day DAY 6 - Saturday: Excursion

Open day

You shape the programme by giving us suggestions things will evolve you will see.

We will publish the programme before Thursday afternoon.

Example

How was this map made?

Spatial Prediction Competition

Everybody (lecturers included) are invited to produce predictions using calibration data and for a number of validation points

By Friday 16:00

The winner will be announced shortly after.

G+ community

If you know R... only sky is the limit

Some of you need a gentle intro

R is a good time/effort investment?

The Popularity of Data Analysis Softwareby Robert A. Muenchen

>4000 packages in 2014

JSS

Python crash course

Disclaimer

We can give you an overview of R+OSGeo in 5 days; we can NOT teach you statistics, GIS, RS, computer science... in 40 hours.

Lecturers are not responsible for WLAN, coffee breaks, lunches, local logistics etc etc.

Local organizers (Roger / Felix) are not responsible for the content of individual blocks.

We are not responsible for how you organize things on your laptop.

Have fun!