Transcript Slide 1

Using SpatialWare with SQL Server to
manage forestry maps
A case Study of Port Blakely Tree Farms
Chris Lacy, GIS Forester, Port Blakely Tree Farms
Philip Woods, GIS Contractor,
January 10th, 2006
What is SpatialWare?
SpatialWare is software that extends MS SQL Server database capabilities via stored
procedures and other code that enables the manipulation of spatial data.
To spatially enable the database three component parts are necessary:
1. Spatial Data Type defining the data structure and storage mechanism. SpatialWare
provides a user defined data type called ST_Spatial.
2. Spatial Indexing providing custom index structure to handle spatial data. SpatialWare
provides R-Tree indexing of spatial data.
3. Spatial Operators extending the SQL interface to the data. SpatialWare provides:
Spatial Functions Perform operations on geometries to create new geometries. (e.g., create a buffer
zone around a road (linear) geometry.)
Observer Functions Return numbers, objects, or attributes from within a geometry. (e.g., X ordinate
of a point, Nth Vertex of a polyline.)
Spatial Predicate Functions Analyze geometries or pairs of geometries to see if they meet specific
conditions. These functions return TRUE or FALSE (1 or 0) values and are generally used within a
WHERE clause. (e.g., find overlapping geometries.)
Measurement Functions Perform calculations on geometries to find a measurable characteristic,
such as length, or area.
Aggregate Functions Work across rows in a group taking one or more spatial objects of type
ST_Spatial as input. They return a single-row result of a spatial object.
General Functions Perform operations, make queries, or change settings.
Geometry Construction Create geometry from a string using the ST_Spatial function.
Coordinate Functions Transform geometries from one coordinate system to another. Coordinate
systems may be geographic (longitude/latitude), or projected (e.g., Mercator, Robinson).
What are the Benefits Over Standard
MapInfo Tables?
Data integration
Data security.
Reduction of data redundancy via relational database design techniques
Multiple data views
All work is completed or none of it is
Data redundancy
Concurrent editing of tables by multiple users
Transaction processing
Automated database backup provides for data recovery in the case of system failure
Multi-user access to the data
Use of Check constraints, referential integrity, triggers etc. enable tight control over attribute
and table modifications
Backup and recovery
Control read write access to the data at the table level of even column level.
Enforcement of data integrity
Combine your GIS data with other business systems data within SQL Server
Use multiple views of the same data
Programmatic interfaces.
Interface with the database via different programs: MI Pro, MapX, or even non-geographic
custom applications
Setting up SpatialWare
Install the SpatialWare software to a SQL Server instance
Create a SQL Server database and spatially enable it via
SpatialWare procedures
exec sp_sw_spatialize_column 'dbo', 'geomtest','sw_geometry',
Populate the tables with data from MapInfo tab files
EXEC sp_spatialize_db
Create database tables and create spatial properties for the tables
Once installed all databases running on that server can use spatial data
Use the MapInfo EasyLoader utility to upload tab files to SQL Server
Use MapInfo to save spatial tables by choosing File > Save Copy As or
File > New Table from the main menu.
Use SQL Server commands to create and populate tables
Create R-tree indexes for the spatial tables
exec sp_sw_create_rtree 'dbo', 'geomtest', 'sw_geometry',
'sw_member', null,200, 12000
How It Fits Together
Sample Queries
Select a record based on a point
Select all records within 0.5 of a mile
exec sp_spatial_query 'Select StandKey,
sw_geometry from StandsView where
ST_Spatial(''ST_Point(1267253.69, 4296780.58)''))‘
exec sp_spatial_query 'select Standkey,
sw_geometry from StandsView where
253.69, 4296780.58)''),2600.0,5.0),
Select a specific record and create a
new object buffered by 150’
exec sp_spatial_query 'select Standkey,
ST_Buffer(SW_Geometry, 150.0, 0.1) From
StandsView Where Standkey = ''0115N06W270006'‘’
Using SpatialWare
Basic level
– Take your current MI tables and
load on to SQL Server
Intermediate level
– Design simple relational
– Conform exist MI tables to the
new structure
– Add integrity constraints and
rules to the database
Advanced level
– Intermediate level
– Using advanced SpatialWare
functionality and custom code
for data maintenance and
analysis on the server
– Integration spatial data with nonspatial business systems
Basic level benefits
– Multi-user editing, incremental
Intermediate level benefits
– Base level benefits
– Data integrity
– Multiple data views
Advanced level benefits
– Intermediate level benefits
– Enhanced data maintenance
and analysis on the server
– Multiple user interfaces to the
– Integration spatial data with nonspatial business systems
SpatialWare at Port Blakely Tree Farms
• Main focus is GIS data maintenance
• Data entry is dialog driven
• Uses SpatailWare and SQL Server functionality to ensure data
• Dynamically maintains historical states
• Future expansion will be integration of spatial data with other
business systems
• The current GIS database contains
– 13 spatial tables + 13 spatial history tables
– 25 domain or lookup tables
– In addition numerous stored procedures control how, what and when
operations are performed on individual tables
Uses at PBTF
• Database maintenance – basic CRUD
– Creation
• Data created during maintenance process
• New data sets uploaded to SpatialWare
– Retrieval
• Use of custom data views for different staff needs
• Use of spatial queries for generating ad hoc data sets
– Update
• Use of MapInfo and custom data entry screens for data
– Deletion
• Use of MapInfo for record deletions
What Does it Take to Leverage
• Knowledge of MapInfo
• Database design and development
• Knowledge of SpatialWare
• Knowledge of MS SQL Server
Conclusions So Far…
• Practical to implement even in relatively small implementations
• Provides a secure multi-user environment
• Makes the data maintenance process easier to control
– higher data quality and tracking
• Provides the tools for server side analysis
• Has enormous potential for corporate data integration
Contact Info’
• Chris Lacy
GIS Forester
Port Blakely Tree Farms
[email protected]
• Philip Woods
– GIS Contractor
– [email protected]