spatial data analysis: course outline
DESCRIPTION
Ifgi, Muenster, Fall School 2005. Spatial Data Analysis: Course Outline. Gilberto Câmara INPE, Brazil. INPE - brief description. National Institute for Space Research main civilian organization for space activities in Brazil staff of 1,800 ( 800 Ms.C. and Ph.D.) Areas: - PowerPoint PPT PresentationTRANSCRIPT
Spatial Data Analysis: Course Outline
Ifgi, Muenster, Fall School 2005
Gilberto CâmaraINPE, Brazil
INPE - brief description
National Institute for Space Research main civilian organization for space activities in
Brazil staff of 1,800 ( 800 Ms.C. and Ph.D.)
Areas: Space Science, Earth Observation, Meteorology
and Space Engineering
CBERS-2 Launch(21 October 2003)
CBERS-2
CBERS-2 CCD, Minas Gerais, Brazil
CBERS-2 image from Louisiana, EUA
Obtained from on-board data recorder
Amazon Deforestation 2003
Fonte: INPE PRODES Digital, 2004.Fonte: INPE PRODES Digital, 2004.
Deforestation 2002/2003Deforestation 2002/2003
Deforestation until 2002Deforestation until 2002
source: Greenpeace
Amazônia in 2005
Amazônia in 2015? fonte: Aguiar et al., 2004
R&D in GIScience at INPE
Graduate programs in Computer Science and Remote Sensing
Research areas Spatial statistics Spatial dynamical modelling Spatio-temporal databases Image databases and image processing
Technology TerraLib – open source library for ST DBMS
Course outline
Motivation: why do need spatial data analysis?
Point pattern analysis
Areal data analysis
Surface data analysis (geostatistics)
Trends in spatial data analysis
Course outline: 1st week
Monday – Introduction 10:30 – 12:00 (2)
Tuesday – Basic concepts 10:30 – 12:00 (2)
Wednesday – Areal analysis I (LAB work) 9:00 – 10:30 and 11:00 – 12:30 (4)
Thursday – Areal analysis II 9:00 – 10:30 and 11:00 – 12:30 (4)
Friday – Areal analysis III (LAB work) 9:00 – 10:30 and 11:00 – 12:30 (4)
Saturday – QUIZ 14:00 – 17:00 (LAB)
Course outline: 2nd week
Monday – Introduction to R (LAB) 10:30 – 12:00 (2)
Tuesday – Surface analysis (LAB) 9:00 – 10:30 and 11:00 – 12:30 (4)
Wednesday – Surface analysis II (LAB) 9:00 – 10:30 and 11:00 – 12:30 (4)
Thursday – Point pattern analysis (LAB) 9:00 – 10:30 and 11:00 – 12:30 (4)
Friday – Trends in spatial data analysis 10:30 – 12:00 (2)
Saturday – Quiz 14:00 – 17:00
Course material
Course homepage www.dpi.inpe.br/gilberto/tutorials.html Bailey and Gattrel, “Spatial Data Analysis by example”
Software R – statistical suite (open source)
www.r-project.org GeoDa – analysis of areal data (gratis) TerraView – visualisation and analysis (open source)
www.terralib.org TerraLib – GIS library (open source)