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Microsoft Spatial – SQL Server Spatial & Virtual Earth

Microsoft Spatial – SQL Server Spatial & Virtual Earth. Matti Seikkula & Pete Smith e-Spatial www.e-spatial.co.nz. Why Microsoft Spatial?. Your data enabled with location intelligence with client- , middle- and server-tier tools

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Microsoft Spatial – SQL Server Spatial & Virtual Earth

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  1. Microsoft Spatial – SQL Server Spatial & Virtual Earth Matti Seikkula & Pete Smith e-Spatial www.e-spatial.co.nz

  2. Why Microsoft Spatial? • Your data enabled with location intelligence with client-, middle- and server-tier tools • Spatial data analysis and mining of your data with spatially-enhanced T-SQL • Detailed vector data from SQL Server Spatial via presentation layer • Graphical representation of your data tied to statistical and geographical datasets • High-quality imagery on presentation layer • 2D and 3D views of location data

  3. Vector data via Virtual Earth

  4. Vector data via Virtual Earth

  5. Vector data via Virtual Earth

  6. Vector data via Virtual Earth

  7. Vector data via Virtual Earth

  8. Vector data via Virtual Earth

  9. Geographical Themes

  10. Geographical Themes

  11. Quality Imagery via VE

  12. Quality Imagery via VE

  13. Quality Imagery via VE

  14. Quality Imagery via VE

  15. Quality Imagery via VE

  16. Quality Imagery via VE

  17. Quality Imagery via VE

  18. 2D/3D View on Grid dataset Farm

  19. 2D/3D View on Grid dataset Farm

  20. 2D/3D View on Grid dataset Farm

  21. SQLServer Spatial – Key Concepts • Spatial Data types – the Spatial Object • Object definition (using points, lines and polygons) and type • Points – point(X,Y) • (Multi)lines – line(point(x1,y1),point(x2,y2),…) • (Multi)polygons – polygon(line(…),line(…),…) • Geometry collections • Projection and datum • Default style (colour, thickness, pattern) • Spatial indexing – R-tree or Quad-tree (or Bi-tree) • For Fast geographic searches • SQL Server Spatial will use a 4-stage grid (like Quad-tree) • Spatial functions – intersects, touches, centroid (75+)… • To perform spatial analysis • Standards-based SQL extensions

  22. SQLServer Spatial - Syntax

  23. SQLServer Spatial - Concepts

  24. SQLServer Spatial - Example Example 1 -- Flooding – 100-metre buffer on lake -- Mapped as see-through hashed boundary SELECTLake.geometry.STBuffer(100) FROM Lake WHERE Lake.Name = ’My Lake’; My Lake Example 2 -- Private properties affected by flooding -- Mapped as solid pink objects SELECT property.id ,property.geometry FROM Lake , Property WHERE Lake.Name = ’My Lake’ andProperty.geometry.STOverlaps (Lake.geometry.STBuffer(100);

  25. Microsoft Spatial – Components • SQLServer Spatial – storage for spatial data • SSIS – used for uploading/downloading spatial data (one-off) and managing spatial ETL processes • Mapping “Services” – functionality for viewing and analysing vector map data (thematics) • Reporting Services Mapping plug-in – enables publishing vector map viewer functionality within reports • Virtual Earth – presentation layer for viewing 2D/3D mapping data • Visual Studio VE/Map plug-ins – enables use of Virtual Earth engine and/or Map Viewer functionality within .NET projects • But: • No reference mapping data • No address search data, model or engine (e.g. e-SAM,the e-Spatial PAF-based geographical database model)

  26. Spatial in the database • This example map includes: • Properties (polygon) • Addresses (point) • Roads (line) • Postcodes (polygon) • Database tables would be: • Property – 48 rows • Address – 37 rows • Street – 3 rows • Postcode – 1 row

  27. Spatial in the database • Relational data model: • Postcode and propertyboundaries overlap • Street is tied to propertyand overlaps postcodes • More than one addresscan exist on a property • Address belongs to exactly one street • Relational spatial can becomplicated (overlaps) as typically 50+ layers in a map!

  28. Spatial in SQL Server SQL example: “In postcode 4102 show all properties with addresses on Van Asch Road”

  29. Spatial in SQL Server • No need to define many-to-many relationship tables, nor foreign-key links • Data maintenance much easier • Most line-to-point relationships are not spatial (point is not usually on a line), but a spatial relationship can be achieved using a buffer • SQL example: “Show all properties within 10 metres of Van Asch Road” select p.* from street st , property p where st.street_name = 'Van Asch Road' and p.geometry.STIntersects(st.geometry.STBuffer(10))

  30. Spatial in SQL Server • The buffer query applied a 10m buffer to the whole Van Asch Road • This was used in an intersect query on properties to find all touchingthis road buffer • This query returned 6 rows • This is also an example of how spatial queries can be used on a database without necessarily returning a map

  31. Spatial in SQL Server • Buffer example – now include the area of the property • SQL example: “Show all properties and their area in square metres within 10 metres of Van Asch Road” select p.* , p.geometry.STArea() as “AreaSQm2” from street st , property p where st.street_name = 'Van Asch Road' and p.geometry.STIntersects(st.geometry.STBuffer(10)) Order by p.geometry.STArea() desc • The returned properties are also ordered by largest area • We could continue – for example to do an intersect from the properties to surrounding properties (hazardous substance burning on road)

  32. Spatial in SQL Server • Large fire (200m radius) on a given property • Let’s find its nearest neighbours • SQL Example: “Show propertieswithin 200 metres of 110 BeachRoad by shortest distance”| select p.* from street st , address a , property p where a.house_number = 110 and st.street_name = 'Beach Road' and a.street_id = st.street_id and p.geometry.STIntersects(a.geometry.STBuffer(200)) order by a.geometry.STDistance(p.geometry.STCentroid())

  33. Spatial in SQL Server • Nearest-neighbour query: suppose we also have a point dataset including all ATMs in SQL Server • ATMs are in an XY layer (no geometry associated) • SQL example: “Show 5 closest ATMs in our map extent of 600m by 600m for 110 Beach Road (same map as before)” select top 5 b.* from street st, address a , bank_ATM b where a.house_number = 110 and st.street_name = 'Beach Road' and a.street_id = st.street_id and geometry::STGeomFromText('POINT ('||b.XCOORD||' '||'b.YCOORD'||)', 0) .STIntersects(a.geometry.STBuffer(300).STEnvelope()) order by a.geometry.STDistance(geometry::STGeomFromText( 'POINT ('||b.XCOORD||' '||'b.YCOORD'||)', 0).STCentroid())

  34. Contact e-Spatial • Matti Seikkula, CIO • Email matti@e-spatial.co.nz • Mobile 027 566 5625 • Pete Smith, Enterprise Architect • Email pete@e-spatial.co.nz • Mobile 027 438 3834 • Wayne Chapman, Sales Manager • Email wayne@e-spatial.co.nz • Mobile 027 422 1551 • e-Spatial Limited • Level 15, Morrison Kent House • Phone 04 499 3546, Fax 04 499 3547 • www.e-spatial.co.nz

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