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Geographical Data Mining
Thales Sehn Korting
[email protected]
http://www.dpi.inpe.br/~tkorting/
Dynamic areas
New Frontiers
INPE 2003/2004:
Intense Pressure
Future expansion
Deforestation
Forest
Non-forest
Clouds/no data
Research Questions
• What are the different land use agents?
• When did a certain land use agent
emerge?
• What are the dominant land use agents for
each region?
• How do agents emerge and change in
time?
More Research Questions
• What objects are in the
image?
• How many houses?
• Where are the streets?
• What is hidden by the
shadow?
Amount of data
• Simple crop
– 2562pixels x 3channels =
– 196608 values!
How to reduce input data?
• Segmentation  Regions
Data
Information
Patch Metrics
Area
Perimeter
Rectangularity
…
Spectral Metrics
Pixels’ Mean
Pixels’ STD
Texture
…
Geo Data Mining in Practice
•
•
•
•
•
•
•
•
Segment image = software A
Visualize segmentation = software B
Extract attributes = software C
Normalize attributes = software D
Visualize attributes’ space = software D
Select Samples = software E
Classify regions = software F
Visualize results = software B
In Practice
• More than 5 different softwares!
– Processing time
– File-conversion time
– etc.
• GeoDMA – Geographical Data Mining
Analyst
– All tools on the same system
GeoDMA
• Input
– Raster
– Polygons
• Processing
– Attributes Extraction
– Normalization
– Supervised training
• Output
– Thematic classification
GeoDMA
Dataflow
Adapted from [Silva, 2005]
GeoDMA
Dataflow
Adapted from [Silva, 2005]
GeoDMA
Dataflow
Adapted from [Silva, 2005]
GeoDMA
Dataflow
Adapted from [Silva, 2005]
GeoDMA
Dataflow
Adapted from [Silva, 2005]
GeoDMA
Dataflow
Adapted from [Silva, 2005]
GeoDMA and TerraLib
• Image processing functions
– Segmentation
• Region Growing
– Attributes Extraction
• Data Mining algorithms
– C4.5 Decision Tree
– Self-Organizing Maps
– ...
GeoDMA and TerraLib
• Image processing functions
– Segmentation
• Region Growing
– Attributes Extraction
• Data Mining algorithms
– C4.5 Decision Tree
– Self-Organizing Maps
– ...
Application – Terra do Meio 1997 - 2004
Silva et al, 2008
Future Works
• Allow multi-temporal data mining
– Snapshots
– Try to explain changes
• More classification algorithms
• More precise segmentation
Geographical Data Mining
Try GeoDMA!
http://www.dpi.inpe.br/geodma/