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Spatial data warehouses and SOLAP: a new GIS technology Geosciences, mapping day Jean-Paul KASPRZYK, phd student

Spatial Data Warehouses and SOLAP

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Page 1: Spatial Data Warehouses and SOLAP

Spatial data warehouses and SOLAP: a new GIS technology

Geosciences, mapping day

Jean-Paul KASPRZYK, phd student

Page 2: Spatial Data Warehouses and SOLAP

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology

October 2011

Introduction: GIS and SOLAP

• GIS : OnLine Transactional Processing (OLTP)– Daily management of spatial data

• Easy update, integrity and no redundancy of the data– Based on transactional databases

• Entity association approach• Easy access to data

• SOLAP : Spatial OnLine Analytical Processing (Bédard, 1997)– Decision support (Business intelligence)

• Archiving temporal dimension– Based on data warehouses

• Multidimensional approach• Easy exploration of the data at different aggregation levels• Integration of large amount of heterogeneous data

Page 3: Spatial Data Warehouses and SOLAP

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology

October 2011

Multidimensional approach

Fact: offence

Time: year

Time: month

Time: day

SerialOffender address

Commune

Province

Offence Place

Commune

Commune

Province

Offence Place

Commune

Offence Place

Snowflake schema of the criminal data

Page 4: Spatial Data Warehouses and SOLAP

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology

October 2011

SOLAP Architecture

ETL Data warehouse

Data cube

(SOLAP server)OLAP

SOLAP

Source data

Page 5: Spatial Data Warehouses and SOLAP

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology

October 2011

Data integration : ETL (extract transform load)

Page 6: Spatial Data Warehouses and SOLAP

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology

October 2011

OLAP interface : drill down Operation

drill down

Page 7: Spatial Data Warehouses and SOLAP

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology

October 2011

OLAP interface : drill through operation

drill through

Page 8: Spatial Data Warehouses and SOLAP

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology

October 2011

OLAP interface: slice operationSlice (time) Slice (serie)

Page 9: Spatial Data Warehouses and SOLAP

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology

October 2011

OLAP interface: graphic exports

Page 10: Spatial Data Warehouses and SOLAP

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology

October 2011

SOLAP Interface: spatial drill down (1)

MDX request

SELECT {[Measures].[offence]} ON COLUMNS,{[offence place].[province].members} ON ROWSFROM [offence]

Page 11: Spatial Data Warehouses and SOLAP

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology

October 2011

SOLAP interface: spatial drill down (2)

Page 12: Spatial Data Warehouses and SOLAP

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology

October 2011

SOLAP Interface :

Page 13: Spatial Data Warehouses and SOLAP

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology

October 2011

Conclusion

• Advantages of SOLAP– Integration and exploration of large amounts

of heterogeneous data– Simple interface– Quick requests – Ideal for decision support

• Spatial OLAP = new technologies– spatial operations can still be improved

• Example: buffer operation through the data cube

Page 14: Spatial Data Warehouses and SOLAP

JP Kasprzyk – Spatial data warehouses and SOLAP: a new GIS technology

October 2011

Thank you for listening

Any question?

[email protected]