Spatial%20Data%20Analysis:%20Course%20Outline

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Spatial Data Analysis Course Outline
Ifgi, Muenster, Fall School 2005

• Gilberto Câmara
• INPE, Brazil

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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

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CBERS-2
CBERS-2 Launch (21 October 2003)
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CBERS-2 CCD, Minas Gerais, Brazil
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• CBERS-2 image from Louisiana, EUA
• Obtained from on-board data recorder

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Amazon Deforestation 2003
Deforestation 2002/2003
Deforestation until 2002
Fonte INPE PRODES Digital, 2004.
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Amazônia in 2005
source Greenpeace
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Amazônia in 2015?
fonte Aguiar et al., 2004
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RD 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

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Course outline

• Motivation why do need spatial data analysis?
• Point pattern analysis
• Areal data analysis
• Surface data analysis (geostatistics)
• Trends in spatial data analysis

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Course outline 1st week

• Monday Introduction
• 1030 1200 (2)
• Tuesday Basic concepts
• 1030 1200 (2)
• Wednesday Areal analysis I (LAB work)
• 900 1030 and 1100 1230 (4)
• Thursday Areal analysis II
• 900 1030 and 1100 1230 (4)
• Friday Areal analysis III (LAB work)
• 900 1030 and 1100 1230 (4)
• Saturday QUIZ
• 1400 1700 (LAB)

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Course outline 2nd week

• Monday Introduction to R (LAB)
• 1030 1200 (2)
• Tuesday Surface analysis (LAB)
• 900 1030 and 1100 1230 (4)
• Wednesday Surface analysis II (LAB)
• 900 1030 and 1100 1230 (4)
• Thursday Point pattern analysis (LAB)
• 900 1030 and 1100 1230 (4)
• Friday Trends in spatial data analysis
• 1030 1200 (2)
• Saturday Quiz
• 1400 1700

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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)