Spatial analysis

what are the steps needed to create a jdbc theme which uses a spatial function like 'intersection' so that Mapviewer can view the returned result? I'd like to visualize the returned sql data using mapviewer....
thanks
Peter

When I run query
SELECT rowid1, rowid2
FROM TABLE(mdsys.prvt_sam.Predicated_Join('CRIMES', 'GEOM', 'CITIES', 'GEOM', NULL, 'POP2000 > 12000',
'distance=20 unit=km'));
I have error:
ORA-13390: error in spatial analysis and mining function: [SELECT a.rowid1, a.rowid2 from table(mdsys.RtreeJoinFunc(cursor(SELECT * from table(sdo_rtree_admin.sdo_rtree_descrids('WOJTEE', 'CRIMES_SDX', 1)), table(sdo_rtree_admin.sdo_rtree_descrids('WOJTEE', 'CITIES_SDX', 2))), SYS.ODCIINDEXINFO('WOJTEE', 'CRIMES_SDX', SYS.ODCICOLINFOLIST(SYS.ODCICOLINFO('WOJTEE','CRIMES', '"GEOM"', 'SDO_GEOMETRY', 'MDSYS', null)), null, 0, 1),SYS.ODCIINDEXINFO('WOJTEE', 'CITIES_SDX', SYS.ODCICOLINFOLIST(SYS.ODCICOLINFO('WOJTEE','CITIES', '"GEOM"', 'SDO_GEOMETRY', 'MDSYS', null)), null, 0, 1), 2, 'ANYINTERACT', ' :dst_spec ', :tab1_predicate, :tab2_predicate)) a ]
ORA-06512: at "MDSYS.MD", line 1723
ORA-06512: at "MDSYS.MDERR", line 17
ORA-06512: at "MDSYS.PRVT_SAM", line 234
13390. 00000 - "error in spatial analysis and mining function: [%s]"

Similar Messages

How can i view my spatial analysis result graphically?

I developed a GIS database. After i perform some spatial analysis, i would like to view the analysis result graphically. Is that any tools that i can use to view my result beside mapviewer and middleware? Can i use spatial index advisor? Plz help.. thanks...

Your computer doesn't have camera RAW support installed for a 6D. RAW isn't really a standard-format... it's more of a concept. Every individual camera has it's own unique RAW format (even though they all have the same .CR2 extension).
Each time a new camera comes out, companies that make RAW processing software will make an update available that adds that camera. You'll need to get that update and install it.
Tim Campbell
5D II, 5D III, 60Da

SDO_SAM 13390: error in spatial analysis and mining function

Hi All,
I have an arror, when I try to run function SDO_SAM.COLOCATED_REFERENCE_FEATURES.
I'm executing in this way:
BEGIN
SDO_SAM.COLOCATED_REFERENCE_FEATURES(
'CITIES', 'GEOM', 'POP2000 > 12000',
'CRIMES', 'GEOM', null,
'distance=20 unit=km', 'COLOCATION_TABLE', 20);
END;
At the begining I created tables CITIES and CRIMES with column GEOM SDO_GEOMETRY() type.
After that I inserted to USER_SDO_GEOM_METADATA values:
INSERT INTO USER_SDO_GEOM_METADATA (TABLE_NAME, COLUMN_NAME, DIMINFO, SRID)
VALUES ('CRIMES', 'GEOM',
MDSYS.SDO_DIM_ARRAY
(MDSYS.SDO_DIM_ELEMENT('X', 575977.125000000, 577368.125000000, 0.500000000),
MDSYS.SDO_DIM_ELEMENT('Y', 1195219.125000000, 1196522.000000000, 0.500000000)
32648);
COMMIT;
INSERT INTO USER_SDO_GEOM_METADATA (TABLE_NAME, COLUMN_NAME, DIMINFO, SRID)
VALUES ('CITIES', 'GEOM',
MDSYS.SDO_DIM_ARRAY
(MDSYS.SDO_DIM_ELEMENT('X', 575977.125000000, 577368.125000000, 0.500000000),
MDSYS.SDO_DIM_ELEMENT('Y', 1195219.125000000, 1196522.000000000, 0.500000000)
32648);
COMMIT;
and I also defined table COLOCATION_TABLE (tid NUMBER, rid1 VARCHAR2(24), rid2 VARCHAR2(24))
After that I was created spatial indexes.
When I'm trying to run as above I have an error:
Error report:
ORA-13390: error in spatial analysis and mining function: [INSERT INTO COLOCATION_TABLE VALUES ( :tid, :rid1, :rid2 )]
ORA-06512: at "MDSYS.MD", line 1723
ORA-06512: at "MDSYS.MDERR", line 17
ORA-06512: at "MDSYS.SDO_SAM", line 547
ORA-06512: at line 2
13390. 00000 - "error in spatial analysis and mining function: [%s]"
*Cause: There was an internal error in the specified analysis function.
*Action: Contact Oracle Customer Support for more help.
Can anyone offer any thoughts or guidance?
Many thanks in advance.
Wojtek

When I run query
SELECT rowid1, rowid2
FROM TABLE(mdsys.prvt_sam.Predicated_Join('CRIMES', 'GEOM', 'CITIES', 'GEOM', NULL, 'POP2000 > 12000',
'distance=20 unit=km'));
I have error:
ORA-13390: error in spatial analysis and mining function: [SELECT a.rowid1, a.rowid2 from table(mdsys.RtreeJoinFunc(cursor(SELECT * from table(sdo_rtree_admin.sdo_rtree_descrids('WOJTEE', 'CRIMES_SDX', 1)), table(sdo_rtree_admin.sdo_rtree_descrids('WOJTEE', 'CITIES_SDX', 2))), SYS.ODCIINDEXINFO('WOJTEE', 'CRIMES_SDX', SYS.ODCICOLINFOLIST(SYS.ODCICOLINFO('WOJTEE','CRIMES', '"GEOM"', 'SDO_GEOMETRY', 'MDSYS', null)), null, 0, 1),SYS.ODCIINDEXINFO('WOJTEE', 'CITIES_SDX', SYS.ODCICOLINFOLIST(SYS.ODCICOLINFO('WOJTEE','CITIES', '"GEOM"', 'SDO_GEOMETRY', 'MDSYS', null)), null, 0, 1), 2, 'ANYINTERACT', ' :dst_spec ', :tab1_predicate, :tab2_predicate)) a ]
ORA-06512: at "MDSYS.MD", line 1723
ORA-06512: at "MDSYS.MDERR", line 17
ORA-06512: at "MDSYS.PRVT_SAM", line 234
13390. 00000 - "error in spatial analysis and mining function: [%s]"

Webinar Replay URL: Situational Analysis at OnStar with Oracle Spatial

A free replay is now available for the Directions webinar Situational Analysis at OnStar with Oracle Spatial, which was held on Feb. 22.
To view the replay, visit https://www2.gotomeeting.com/register/237138906
OnStar is the largest telematics solution provider on the globe, with 6 million subscribers in North America and abroad. OnStar uses situational awareness and real-time analysis to deliver fast, accurate emergency services to its customers. At the core of this solution is an Oracle Spatial-based analytical server that supports Google Earth visualization and NAVTEQ data. With this system, OnStar gains better understanding of customer use and behavior and better insight during emergency situations. In hurricanes, wildfires and other disasters, OnStar has developed early warning capabilities for use in near real-time. It can then manage call center resources based on anticipated call volumes and ultimately develop more effective new processes and services.
Learn from OnStar how the company uses Oracle Spatial to deliver insight, performance and scalability.
Key learning points include:
* How OnStar’s Oracle Spatial analytical server supports its real-time call center Advisor application in an environment using Google Earth visualization and NAVTEQ data
* How spatial analysis allows OnStar to obtain better insight into disaster situations, develop early warning capabilities, and improve call center coverage
* How Oracle Database 11g (with Oracle Spatial, Real Application Clusters, Partitioning) provides scalability and performance required to process and query OnStar’s large amounts of transactional data
Speakers include:
* Jeff Joyner, Emergency Strategy and Outreach, GM OnStar and Injury Research Fellow, University of Michigan Program for Injury Research and Education
* James Steiner, Vice President, Product Management, Oracle Server Technologies
Who should attend:
This webinar is appropriate for CIOs, business and technical managers and analysts involved in the design and management of enterprise systems where spatial analysis can add insight and value to business processes.

Nice to have a EXPERT in this FORUM...!!
Hi Dan, if you look at my reply I mentioned that I had loaded loc_updates.sql
From my previous reply:
execute loc_updates.sql which doenot update any of the rows since if you look at the syntax in loc_updates.sql file it shows update the table customers whose customer_id=344.
Where is this customer_id=344 coming from?
Also the datatype is a number.
Dan, were you able to get the results as desired?
or may be I am missing something...
Thanks and Regards,
Nandakishore.

Free Webinar - Situational Analysis at OnStar with Oracle Spatial Feb. 22

Join us for the next Directions webinar: Situational Analysis at OnStar with Oracle Spatial
When: Wednesday, February 22nd, 2:00 PM - 3:00 PM EST
Register now: https://www2.gotomeeting.com/register/237138906
OnStar is the largest telematics solution provider on the globe, with 6 million subscribers in North America and abroad. OnStar uses situational awareness and real-time analysis to deliver fast, accurate emergency services to its customers. At the core of this solution is an Oracle Spatial-based analytical server that supports Google Earth visualization and NAVTEQ data. With this system, OnStar gains better understanding of customer use and behavior and better insight during emergency situations. In hurricanes, wildfires and other disasters, OnStar has developed early warning capabilities for use in near real-time. It can then manage call center resources based on anticipated call volumes and ultimately develop more effective new processes and services.
Learn from OnStar how the company uses Oracle Spatial to deliver insight, performance and scalability.
Key learning points include:
* How OnStar’s Oracle Spatial analytical server supports its real-time call center Advisor application in an environment using Google Earth visualization and NAVTEQ data
* How spatial analysis allows OnStar to obtain better insight into disaster situations, develop early warning capabilities, and improve call center coverage
* How Oracle Database 11g (with Oracle Spatial, Real Application Clusters, Partitioning) provides scalability and performance required to process and query OnStar’s large amounts of transactional data
Speakers include:
* Jeff Joyner, Emergency Strategy and Outreach, GM OnStar and Injury Research Fellow, University of Michigan Program for Injury Research and Education
* James Steiner, Vice President, Product Management, Oracle Server Technologies
Who should attend:
This webinar is appropriate for CIOs, business and technical managers and analysts involved in the design and management of enterprise systems where spatial analysis can add insight and value to business processes.
Register now: https://www2.gotomeeting.com/register/237138906

Markus,
Sorry for my late reply it had been awhile since I was here at SDN
I did it manually in the 'old' way and at that time it did work.
Kulvir,
I did get it from SAPnet but when I downloaded it it contained the proper file.But I did had the same with an add-on for the business connector which only contained an empty file.
Thanks for your answers and again sorry for my late reply back to you all

Oracle Spatial Performance with 10-20.000 users

Does anyone have any experience when Oracle Spatial is used with say 20.000 concurrent users. I am not interested in MapViewer response time, but lets say there is:
- an app using 800 different tables each having an sdo_geometry column
- the app is configured with different tables visible on different view scales
- let's say an average of 40-50 tables is visible at any given time
- some tables will have only a few records, while other can hold millions.
- there is no client side caching
- clients can zoom in/out pan.
Anwers I am interested in:
- What sort of server would be required
- How can Oracle serve all that data (each Refresh renders the map and retrieves the data over the wire as there is no client side caching).
- What sort of network infrastructure would be required.
- Can clients connect to different servers and hence use load balancing or does Oracle have an automatic mechanism for that?
Thanks in advance,
Patrick

Patrick, et al.
There are lots of things one can do to improve performance in mapping environments because of a lot of the visualisation is based on "background" or read-only data. Here are some "tips":
1. Spatially sort read-only data.
This tip makes sure that data that is close to each other in space are next to each other on disk! Dan gave a good suggestion when he referenced Chapter 14, "Reorganize the Table Data to Minimize I/O" pp 580- 582, Pro Oracle Spatial. But just as easily one can create a table as select ... where sdo_filter() where the filtering object is an optimized rectangle across the whole of the dataset. (This is quite quick on 10g and above but much slower on earlier releases.)
When implementing this make sure that the created table is created such that its blocks are next to each other in the tablespace. (Consider tablespace defragmentation beforehand.) Also, if the data is READ ONLY set the PCTFREE to 0 in order to pack the data up into as small a number of blocks as possible.
2. Generalise data
Rendering spatial data can be expensive where the data is geometrically detailed (many vertices) esp where the data is being visualised at smaller scales than it was captured at. So, if your "zoom thresholds" allow 1:10,000 data to be used at 1:100,000 then you are going to have problems. Consider pre-generalising the data (see sdo_util.simplify) before deployment. You can add multiple columns to your base table to hold this data. Be careful with polygon data because generalising polygons that share boundaries will create gaps etc as the data is more generalised. Often it is better to export the data to a GIS which can maintain the boundary relationships when generalising (say via topological relationships).
Oracle's MapViewer has excellent on-the-fly generalisation but here one needs to be careful. Application tier caching (cf Bryan's comments) can help here a lot.
3. Don't draw data that is sub-pixel.
As one zooms out objects become smaller and smaller until they reach a point where the whole object can be drawn within a single pixel. If you have control over your map visualisation application you might want to consider setting the SDO_FILTER parameter "min_resolution" flag dynamically so that its value is the same as the number of meters / pixel (eg min_resolution=10). If this is set Oracle Spatial will only include spatial objects in the returned search set if one side of a geometry's MBR is greater than or equal to this value. Thus any geometries smaller than a pixel will not be returned. Very useful for large scale data being drawn at small scales and for which no selection (eg identify) is required. With Oracle MapViewer this behaviour can be set via the generalized_pixels parameter.
3. SDO_TOLERANCE, Clean Data
If you are querying data other than via MBR (eg find all land parcels that touch each other) then make sure that your sdo_tolerance values are appropriate. I have seen sites where data captured to 1cm had an sdo_tolerance value set to a millionth of a meter!
A corollary to this is make sure that all your data passes validation at the chosen sdo_tolerance value before deploying to visualisation. Run sdo_geom.validate_geometry()/validate_layer()...
4. Rtree Spatial Indexing
At 10g and above lots of great work went in to the RTree indexing. So, make sure you are using RTrees and not QuadTrees. Also, many GIS applications create sub-optimal RTrees by not using the additional parameters available at 10g and above.
4.1 If your table/column sdo_geometry data contains only points, lines or polygons then let the RTree indexer know (via layer_gtype) as it can implement certain optimizations based on this knowledge.
4.2 With 10g you can set the RTree's spatial index data block use via sdo_pct_free. Consider setting this parameter to 0 if the table/column sdo_geometry data is read only.
4.3 If a table/column is in high demand (eg it is the most commonly used table in all visualisations) you can consider loading (a part of) the RTree index into memory. Now, with the RTree indexing, the sdo_non_leaf_tbl=true parameter will split the RTree index into its leaf (contains actual rowid reference) and non-leaf (the tree built on the leaves) components. Most RTrees are built without this so only the MDRT*** secondary tables are built. But if sdo_non_leaf_tbl is set to true you will see the creation of an additional MDNT*** secondary table (for the non_leaf part of the rtree index). Now, if appropriate, the non_leaf table can be loaded into memory via the following:
ALTER TABLE MDNT*** STORAGE(BUFFER_AREA KEEP);
This is NOT a general panacea for all performance problems. One should investigate other options before embarking on this (cf Tom Kyte's books such as Expert Oracle Database Architecture, 9i and 10g Programming Techniques and Solutions.)
4.4 Don't forget to check your spatial index data quality regularly. Because many sites use GIS package GUI tools to create tables, load data and index them, there is a real tendency to not check what they have done or regularly monitor the objects. Check the SDO_RTREE_QUALITY column in USER_SDO_INDEX_METADATA and look for indexes with an SDO_RTREE_QUALITY setting that is > 2. If > 2 consider rebuilding or recreating the index.
5. The rendering engine.
Whatever rendering engine one uses make sure you try and understand fully what it can and cannot do. AutoDesk's MapGuide is an excellent product but I have seen it simply cache table/column data and never dynamically access it. Also, I have been at one site which was running Deegree and MapViewer and MapViewer was so fast in comparison to Deegree that I was called in to find out why. I discovered that Deegree was using SDO_RELATE(... ANYINTERACT ...) for all MBR queries while MapViewer was using SDO_FILTER. Just this difference was causing some queries to perform at < 10% of the speed of MapViewer!!!!
6. Consider "denormalising" data
There is an old adage in databases that is "normalise for edit, denormalise for performance". When we load spatial data we often get it from suppliers in a fairly flat or normalised form. In consort with spatial sorting, consider denormalising the data via aggregations based on a rendering attribute and some sort of spatial unit. For example, if you have 1 million points stored as single points in SDO_GEOMETRY.SDO_POINT which you want to render by a single attribute containing 20 values, consider aggregating the data using this attribute AND some sort of spatial BUCKET or BIN. So, consider using SDO_AGGR_UNION coupled with Spatial Analysis and Mining package functions to GROUP the data BY <<column_name>> and a set of spatial extents.
6. Tablespace use
Finally, talk to your DBA in order to find out how the oracle database's physical and logical storage is organised. Is a SAN being used or SAME arranged disk arrays? Knowing this you can organise your spatial data and indexes using more effective and efficient methods that will ensure greater scalability.
7. Network fetch
If your rendering engine (app server) and database are on separate machines you need to investigate what sort of fetch sizes are being used when returning data from queries to the middle-tier. Fetch sizes for attribute only data rows and rows containing spatial data can be, and normally are, radically different. Accepting the default settings for these sizes could be killing you (as could the sort_area_size of the Oracle session the application server has created on the database). For example I have been informed that MapInfo Pro uses a fixed value of 25 records per fetch when communicating with Oracle. I have done some testing to show that this value can be too small for certain types of spatial data. SQL Developer's GeoRaptor uses 100 which is generally better (but this one can modify this). Most programmers accept defaults for network properties when programming in ADO/ODBC/OLEDB/JDBC: just be careful as to what is being set here. (This is one of the great strengths of ArcSDE: its TCP/IP network transport is well written, tuneable and very efficient.)
8. Physical Format
Finally, while Oracle's excellent MapViewer requires data its spatial data to be in Oracle, other commercial rendering engines do not. So, consider using alternate, physical file formats that are more optimal for your rendering engine. For example, Google Earth Enterprise "compiles" all the source data into an optimal format which the server then serves to Google Earth Enterprise clients. Similarly, a shapefile on local disk to the application server (with spatial indexing) may be faster that storing the data back in Oracle on a database server that is being shared with other business databases (eg Oracle financials). If you don't like this approach and want to use Oracle only consider using a dedicated Oracle XE on the application server for the data that is read only and used in most of your generated maps eg contour or drainage data.
Just some things to think about.
regards
Simon

ArcInfo and ArcSDE / Oracle Spatial

Hello,
I saw some discussion on ArcInfo and Oracle Spatial and thought of asking this question.
I have ArcInfo software,some ArchInfo boundary Files that need to be loaded into ArcSDE and Oracle Spatial.
I want to convert ArcInfo boundary files into ArcSDE format.
I want to send ArcSDE export dump so that it can be imported into ArcSDE licenced server elsewhere.
For doing this work do I need ArcSDE as I am not going to use ArcSDE. I want to just convert ArcInfo files into ArcSDE and send it.
Any suggestions are welcome.
Thanks for the help.

This is a very interesting topic, I have never seen or read a detailed comparison of the functionality within ArcSDE and Oracle Locator/Spatial. I have worked with both of these for five years or more, and if this comparison was made using the most current versions of these products, it is my opinion that these are fuctionally equivalent. Fundamentally, they differ in how spatial analysis is performed, Oracle Spatial uses Max Egenhoffers model, while ArcSDE implements the Clementini operators. When comparing ESRI's implementation of "versioning" with Oracle's Workspace Manager, I think Workspace Manager is a superior design, and has more flexibility/fuctionality. Besides, it is more open to choices in client applications, since the long transactions are part of the database, rather than the client application (ArcInfo Desktop). What is missing in Workspace Manager is a Java API.
In general, the SDO_GEOMETRY scales better for large databases than using LONG_RAW (SDEBINARY).
Thats my $0.02 worth. I just recieved a copy of MapInfo Professional 8.0, and they claim to support long transactions in Oracle. Will investigate.
Richard Clement

Column link in interactive report to run procedure and refresh

I have an interactive report which displays a report based on a table. This is a summary table populated overnight from some complex spatial analysis, which takes a few hours to run. I have a requirement to allow the user to refresh one row in this table - they would do this during the day if they needed to see the most up-to-date values.
I have a package with two stored procedures - one which does the full refresh of the table, and one which refreshes one row when PK is passed in.
One of the columns in the table is 'last_refreshed' which is a date - this is shown in the interactive report including minutes.
I was thinking that maybe I could include a hyperlink on this 'last_refreshed' date column in the report. When a user clicked on it, it would run the stored procedure for that row and would refresh the report.
Any ideas on how I could do this? I've hit a bit of a dead end for now.
Thanks

OK, I worked it out.
I created an application item to store a global variable.
Then in the column attributes of the report, I set the 'last_refreshed' to be a linked column, setting target to the current page and then setting the application item global variable to be the row PK.
Then I have a Process which runs the required stored procedure reading the application item global variable, set to run on page load.
Sorted.

GUI ideas...help

Hi,
I'm pretty comfortable with java but haven't ever written any gui code. I've got these somewhat complex spatial analysis classes, algorithms etc. completed that all work but I was thinking it would be nice to add a gui to them for visualization. All I really need to be able to do create an x,y axis and be able to then display x,y point pairs on screen wherever they belong. Ideally I'd also be able to connect points with line segments and resize the scale of the x and y axis depending on the point distribution. In any event, could any give me some very basic guidance as to where I should start? I assume I can completely seperate form from function such that I can write my gui classes seperately? Any ideas? Is Swing my best bet? I'm on a mac using eclipse if that makes any difference. Thanks in advance.

Swing is definitely a good solution. To start, you should try the Swing Tutorial at :
http://java.sun.com/docs/books/tutorial/uiswing/TOC.html
Then, for the plot thing, you could use JFreeChart or JPlot. I haven't tested any of them.

Query on Oracle Spatial Locational Analysis

Hi,
I am working on Oracle Spatial Locational Analysis.
It was very interesting to see an example in this below mentioned URL.
http://technet.oracle.com/products/oracle9i/htdocs/9iober2/obe9ir2/download/obe-cnt_spatial.zip
The procedure mentioned is very clear but have some clarifications in between.
After creating the tables customers and warehouses, there aren't any .sql files where the data is feeded in to these two tables. With out the above mentioned step, in the procedure it is told to execute loc_updates.sql which updates any of the rows since if you look at the syntax in loc_updates.sql file it shows update the table customers whose customer_id=344.
Do we have to manually enetred the customer_id values?
Did Oracle miss uploading any .sql files?
I would very grateful if one could help me in this regard.
Thanks and Regards,
Nandakishore.

Nice to have a EXPERT in this FORUM...!!
Hi Dan, if you look at my reply I mentioned that I had loaded loc_updates.sql
From my previous reply:
execute loc_updates.sql which doenot update any of the rows since if you look at the syntax in loc_updates.sql file it shows update the table customers whose customer_id=344.
Where is this customer_id=344 coming from?
Also the datatype is a number.
Dan, were you able to get the results as desired?
or may be I am missing something...
Thanks and Regards,
Nandakishore.

Spatial Clustering Analysis in 9i?

Could someone please give me ideas about how to implement clustering analysis in 9i without the SDO_SAM pkg? We have a property (housing) database on Oracle 9.2.0 server and would like to calculate property statistics by using spatial proximity analysis. I know the SDO_SAM in 10g can do the job, but how about in 9i?
Thanks in advance!

Hi,
You can implement the aggregates_for_layer/geometry functions using
sdo_geom.sdo_intersection, sdo_within_distance functions. Here is a simple
way to implement aggregate_for_geometry for a query geometry q against a theme table:
- Identify the set of intersecting theme_table geometries using sdo_relate or
sdo_within_distance
- Using this result set, compute the aggregate for the query (q) as the sum of estimates
from each theme-table row (r) that is returned:
estimate for row(r) = (area of intersection of q, r.geometry/area of r.geometry)
*r.aggregate
The intersections and areas can be done using sdo_geom.sdo_intersection and
sdo_geom.sdo_area functions.
The sam pkg will do this in a more optimized way in 10g.
If you want any other function such as spatial_clusters, in 9i you will have to use
the clustering for "point" data available in Oracle Data Mining.

Spatial Point Pattern Analysis

Hello all!
I have quite a challenge for anyone who is interested. What I want to do is generate interpolated data points in a specific area on a graph. My application allows a user to select multiple points on a plot for measurement. These points have 3d coordinates, meaning X,Y and the measured data at this point, Z. Now, what I want to do is create contour plots with this measured data. My problem is, the user can generate a completely random point pattern. Obviously, I want to be able to generate a set of interpolated points in the "general area" where the user created the points so I can draw contours wherever I want. I know there are a few concepts and methods of doing this, but I wanted to know if anyone has already been through this type of dilemma using LabVIEW. I am currently running 7.1.
Thanks for the interest!

If the number of points is not too high, you could use Koji Ohashi's "tripolation.vi", that I found on the web some time ago. It's not very fast, and somehow buggy when there are more than a few tens of points, but it has a great advantage : it exists ! Message Edité par chilly charly le 05-08-2006 06:41 PM
Chilly Charly (aka CC)
E-List Master - Kudos glutton - Press the yellow button on the left...
Attachments:
Tripolation v11.llb ‏722 KB

Oracle Spatial User Conference - GITA Conference Seattle

http://www.gita.org/events/annual/31/Oracle.asp
Oracle Spatial User Conference
Please note that online registration for this event is now closed.
Thursday, March 13, 2008
Sheraton Seattle Hotel
1400 6th Avenue
Seattle, Washington USA
GITA invites you to attend the Oracle Spatial Users Conference. If you are currently a user, solutions provider, or systems integrator who depends upon Oracle’s spatial technologies, or if you want to learn why thousands of organizations use Oracle’s spatial database and application server capabilities, this is one event you won’t want to miss.
Learn about the latest Oracle geospatial technologies and the business and technical benefits they provide as users, solutions providers and Oracle executives share real world experience with the world's most widely used geospatial information technology platform.
More details will be posted soon—sign up for e-mail updates today!
ORACLE SPATIAL USER CONFERENCE AT GITA
Thursday, March 13, 2008—Seattle, Washington
Preliminary Agenda
Please check back for updates in the future. This agenda is subject to change.
Feb. 12 Update: Complete user sessions schedule and abstracts posted
Wednesday, March 12
6:00 – 8:30 p.m.      Oracle Spatial User Conference Reception — Cirrus Ballroom, Sheraton Seattle Hotel
Open to registered & paid user conference attendees only. Registration will be available at the door.
Thursday, March 13
8:00 – 8:30 a.m.
Oracle Spatial Special Interest Group Meeting
8:30 – 9:00 a.m.      Welcome – Oracle
9:00 – 10:30 a.m.
Maps in Business Solutions and Applications (Jayant Sharma)
* Fusion Middleware and BI
* OGC Web Services
* Work and Asset Management
* Mobile Workforce Management
10:30 – 11:00 a.m.
Break
11:00 a.m. – Noon
Oracle Spatial 11g – Technical Overview (Siva Ravada)
* What’s Better?
* What’s New?
* What Would You Like To See?
12:00 – 1:30 p.m.
Award Luncheon
1:30 – 3:00 p.m.
TECHNICAL USE CASES – USER SESSIONS
Track A
Mapping & Business Intelligence Applications in Insurance and Retail
Audatex Insight: Claims Analytics with Oracle Business Intelligence Enterprise Edition and Oracle MapViewer
Yasser Kanoun, Principal Consultant, KPI Partners
Sally Suico, Audatex
Audatex Insight is a claim analytics application that presents automobile claims data in graphical and geographical views for management decision support.
This presentation describes how the integration of Oracle MapViewer with OBIEE dashboards allowed Audatex to display claim analytics geographically. For instance, a user can view the average cost of car repair variance, for a specific insurance company compared to whole industry, on US map at desired geographical levels.
CatPortal's LocWizard: An Innovative Approach to Mapping Insurance Risk Intelligence and Enabling Faster Decision Making
Guru Rao, President, Catastrophe Systems,
Aon Re Services, Inc.
Deepak Badoni, Vice President, Catastrophe Systems, Aon Re Services, Inc.
Instant access to policy and location level insurance data is one of the keys to faster decision making during and after a catastrophe event. Using Oracle Business Intelligence Enterprise Edition and Oracle MapViewer, Aon Re Global has developed an industry leading business intelligence and mapping tool that allows users to seamlessly navigate between reports and maps.
The design was driven entirely by their clients’ need to answer key questions about their exposures and losses to catastrophes. The system uses a blend of custom programming and out-of-the-box functionality to create an interface that allows users to create powerful visualizations and reports with a few mouse-clicks – which previously took days, even weeks of manual effort.
Unobtrusive Spatial Enablement of the Oracle Business Intelligence Suite at RL Polk
Steven Pierce, Principal, Johnston McLamb
Robert Murray, Technical Product Manager, RL Polk
This presentation will describe RL Polk’s approach to integrating Oracle MapViewer into Oracle Business Intelligence Suite using Oracle MapViewer's Non-Spatial Data Provider. The NSDP brought an elegant and efficient approach to integrating spatial and non-spatial data in real time.
Track B
Oracle Spatial in Public Sector
Maximizing the Value of Cuyahoga County-Wide GIS Using Oracle Spatial and Oracle Fusion Middleware
J. Kevin Kelley, Geospatial Information Officer, Cuyahoga County
G. Patrick Zhu, Software Systems Developer,Michael Baker Corporation
Discover how to leverage Oracle Spatial and Fusion Middleware technologies to solve current complex county-wide Geospatial needs. Cuyahoga is implementing a cutting-edge architecture to support Grid computing, service-oriented architecture (SOA) and event-driven architecture (EDA) that delivers unprecedented flexibility, performance and scalability.
Web Mapping with Microsoft Virtual Earth and Oracle 10g in U.S. EPA's Grant Tracking Systems
Trevor Quinn, Principal Developer, Systalex Corporation
This presentation details how a U.S. EPA enterprise web application was "geo-enabled" using Microsoft Virtual Earth and Oracle Application Express, and how the back-end Oracle 10g database was transformed into a spatial data engine for Virtual Earth. The presentation demonstrates how to make Oracle MapViewer maps available to commercial mapping APIs as cached tiles, and describes how to serve feature data directly from the database to Virtual Earth using AJAX and PL/SQL.
Automatic Vehicles Monitoring System at Cotral
Giovanni Corcione, Sales Consultant, Oracle Italy
Paolo Castagno, Principal Consultant, Oracle Italy
Diego Ponzi, Production Monitoring- Innovation Manager, Cotral SPA
The Automatic Vehicles Monitoring (AVM) system at Cotral SPA monitors a fleet of 1600 buses that take about 4600 trips per day on a "near real time" basis. Through GPRS/HTTP, buses send information such as position, events, alarms, timing, schedule to a central system for storage and analysis in the Spatial Data Infrastructure, based on Oracle Spatial, for bus monitoring, mapping, reporting and trip planning. With Oracle’s linear referencing, buses can be located and displayed in real time. The Oracle MapViewer browser front-end renders interactive maps with dynamic bus positions according to routes and bus stop positions. A demo will be shown.
3:00 – 3:30 p.m.
Break / Vendor Booths
3:30 – 5:15 p.m.
TECHNICAL USE CASES – USER SESSIONS
Track A
Utilities Case Studies
A Case Study: Re-engineering Cable Industry Business Processes with Spatial Database Technologies
Dennis Beck, President, Spatial Business Systems
This presentation highlights how a suite of customer-service related business applications are being deployed to change cable industry. An overview of the key design criteria will be presented along with highlights of the technical challenges that were faced in building a large-scale set of applications. Details of the applications will be highlighted as well as an overview of the technical implementation considerations and challenges. The presentation will conclude with a demonstration.
Web based geospatial business applications - embedding the CAD/GIS client
Philip O'Doherty, CEO, eSpatial Inc.
Jon Polay, VP Sales, eSpatial Inc.
This talk looks at the emerging drive towards development of geospatial GIS/CAD features within web enabled business applications. It has always been a goal to embed CAD like capabilities within business applications, but it is only recently that the required database and software infrastructure has made this possible. Leading Wireless Telecommunications Company, Verizon, will present its VEGA Application. This demo includes CAD data editing and manipulation features, seamlessly provided as an end to end process, all accessible within a pure web browser.
Foundations of the New Enterprise: Managing Critical Business Data using Oracle Spatial
Justin Lokitz, Director of Sales Engineering Organization Leica Geosystems Geospatial Imaging
Washington Suburban Sanitary Commission (WSSC) is among the top ten Water and Waste Water utilities in the United States. Early on, to support its business needs with regards to geospatial data, WSSC had built a system using software from many traditional GIS vendors that lacked integration and support for many vital business processes. In 2006 WSSC moved all enterprise data to Oracle Spatial (vector and raster data) and implemented the Leica Geosystems' ADE suite.
Modeling Utility Networks with Oracle Spatial Network Data Model
Peter Manskopf, Senior Consultant, GE Energy
The capabilities in Oracle Spatial allowed GE to build its next generation GIS client using Oracle Spatial as the data repository. The Oracle Spatial network data model provides the primitive spatial data structures required to model and meet the complex needs of utility customers. This presentation will give a technical overview how an electrical utility network can be modeled using the Oracle network topology model. The presentation will cover: How Oracle Spatial data structures can be used to model a connected utility network. How the SDO_NET API is used to perform different types of network tracing crucial to utilities. A demo will show the GE client performing network operations on Oracle Spatial.
     Track B
Oracle Spatial in Public Sector & Map Production
Using Oracle Spatial and MapViewer for Evaluation of Urban Area Development in Brazil
Andre Luis Carvalho da Motta e Silva, Stategical Projects Director, CODEPLAN
Gustavo Neves de Andrade Lemes, Consultant, Sete Serviços
Fernando Targa, Development Director, GEMPI
To meet information demand concerning income and job generation programs implemented by Brazil’s Federal District Economic Development Office (SDE), the Federal District Planning Company developed the Urban Areas Management System (SIGAU). Local areas are evaluated through performance indexes that take into account urban features, land plot, block and district, and analysis/simulation of a large volume of data from many governmental offices and systems. Thematic maps enable follow up and decision making on current programs. Oracle Spatial, GeoRaster and MapViewer provide a safe, high performance implementation platform. A demo will be shown.
Creation, Publication & Update of Maps out of Databases
Sebastien Lanoe, Product Marketing Manager, Lorienne SA
The production of maps out of GIS databases is often a challenging process. Lorienne innovates with a new map production environment for map creation, map publication and map updates from Oracle Spatial, with a focus on high quality, production cost, data integrity and diversification of map products across media. The case study with Tele Atlas data stored in Oracle Spatial will address the benefits, the level of quality, the efficiency of the production process and its dedicated user-friendly environment.
Reengineering Desktop Thick Workgroups into Web
Rich Enterprise Clients
Bryan Hall, Spatial Architect, L-3 Communications
Jeff Walawender, Senior Software Engineer, L-3 Communications
Cost cutting requires reengineering spatial solutions to directly address business requirements. But enterprise computing for spatial data has, with even "Web 2.0", required the user to lose the responsiveness and feedback that traditional desktop thick client GIS software has provided. We took a different approach in the re-engineering effort and concentrated on making it work as much like a traditional desktop thick client - while simplifying use, making editing more reliable, and actually speeding up rendering. All this, while only supporting one versioned Oracle Spatial database, and application tier for all users.
Complete eGovernment solution at City of Bolzano
Stefan Putzer, CreaForm
Giulio Lavoriero, Director of Engineering, CreaForm
The City of Bolzano, Italy has a unique, complete editing and publishing environment for geographical data. The Oracle Spatial-based enterprise editing environment supports import and export into geospatial tools from Bentley and ESRI, and network modeling from Oracle Spatial. Data is shared with GeoJAX, an easy-to-use geographical web browser that uses the Oracle MapViewer framework in combination with J2EE and AJAX for browsing Oracle Spatial data. This provides a flexible viewer supports spatial queries, and can be fully customized (style and functionality). Users can easily import any kind of geographical data from an ESRI file, edit it with a CAD precision functionality and make those data visible to anyone via the web in a very short time.
5:00 – 5:30 p.m.
Closing Reception
Questions about the Oracle Spatial Users Conference? Contact us!
Phone: 303-337-0513 Fax: 303-337-1001 E-mail: [email protected]

Hi:
Some updates regarding the Oracle Spatial User Conference 2008.
1 - Presentations are now available at
http://www.oracle.com/technology/products/spatial/htdocs/spatial_conf_0803_idx.html
All submitted presentations have been posted except for the 3:30 track B slides. Those will be available in a day or two.
2 - Survey for Conference Attendees: If you attended the conference, please take a few minutes to complete the brief survey: http://www.zoomerang.com/Survey/survey-intro.zgi?p=WEB227LQXQUMMD.
Take the survey by April 2 to be entered in a random drawing to receive a copy of the Pro Oracle Spatial for Oracle Database 11g book. We'll also give away 10 GITA shoulder bags.
Thanks to the speakers, sponsors, and participants for a great conference!

Problems with basic spatial query

I'm trying to learn Oracle Spatial working with 11g R2 and with 3D georeferenced data (specifically data describing buildings in a city).
But I'm having trouble getting a basic query to work on my dataset (it works for the book example), and I'm trying to do it exactly the way it's done in the Spatial Developer's Guide for 11g.
To learn how spatial queries work, I set up the cola_markets tables used in the documentation, made the appropriate manual entry in the user_sdo_geom_metadata view and created the index. Having done that, I can run the following simple query (as well as the others in the manual) on the book tables:
SELECT SDO_GEOM.SDO_DISTANCE(c_b.shape, c_d.shape, 0.005)
FROM cola_markets c_b, cola_markets c_d
WHERE c_b.name = 'cola_b' AND c_d.name = 'cola_d';
but when I try to do the same thing on my own tables (created from citygml data), I get an error. There is the difference that the data is 3D, and the index was created without any PARAMETERS ( ... ), hence is just 2D. But still I don't get why the following query doesn't work:
SELECT SDO_GEOM.SDO_DISTANCE(c_w.envelope, c_b.envelope, 0.0005)
FROM cityobject c_w,
cityobject c_b
WHERE c_w.id = 50025
AND c_b.id = 50018;
The id's for the buildings are valid, and I used the same tolerance used by the software that set up the database.
Here's the error I get in SQL developer:
ORA-29532: Java call terminated by uncaught Java exception: java.lang.Exception: 54535
ORA-06512: at "MDSYS.SDO_3GL", line 637
ORA-06512: at "MDSYS.SDO_GEOM", line 1973
ORA-06512: at "MDSYS.SDO_GEOM", line 1990
29532. 00000 - "Java call terminated by uncaught Java exception: %s"
*Cause: A Java exception or error was signaled and could not be
resolved by the Java code.
*Action: Modify Java code, if this behavior is not intended.
So, thinking it might have something to do with the fact that it's a Java interface, I also tried running it from SQL/PL command line and get essentially the same thing:
ERROR at line 1:
ORA-29532: Java call terminated by uncaught Java exception:
java.lang.Exception: 54535
ORA-06512: at "MDSYS.SDO_3GL", line 637
ORA-06512: at "MDSYS.SDO_GEOM", line 1973
ORA-06512: at "MDSYS.SDO_GEOM", line 1990
Any ideas why this isn't working?

Hi,-
There are many ways to model a building with our open 3D data model:
Please note that each polygon can be any planar surface as long as you dont use
shortcut definitions like axis-aligned box as Siva mentioned. We dont allow curved surfaces in 3D.
Gtype 3003 can be composite surface which means each polygon should be connected to another polygon with an edge. Etype must be then 1006. You can have as many polygons as possible as long as they are connected.
Gtype 3003 can also be a single polygon. But, this will not be able to model a building.
As you pointed out, maybe it is the footprint of the building.
You can also model building with gtype 3008 which is simple or composite solid.
Etype 1007 means it is simple solid and etype 1008 means it is composite solid.
Composite solid has one or more solids which has at least one full or partial common surface in between.
In your case with single polygon, you can use sdo_util.extrude as follows to make
3D buildings. The surfaces created will be on the out-side surface of the building.
You will not have walls inside the building when you use this following function:
SELECT SDO_UTIL.EXTRUDE(
SDO_GEOMETRY(
    2003,
    null,
    null,
    SDO_ELEM_INFO_ARRAY(1,1003,1),
    SDO_ORDINATE_ARRAY(5, 1,8,1,8,6,5,7,5,1)),
SDO_NUMBER_ARRAY(0,0,0,0,0),
SDO_NUMBER_ARRAY(5,10,10,5,5),
0.005) from dual;
SDO_UTIL.EXTRUDE(SDO_GEOMETRY(2003,NULL,NULL,SDO_ELEM_INFO_ARRAY(1,1003,1),SDO_O
SDO_GEOMETRY(3008, NULL, NULL, SDO_ELEM_INFO_ARRAY(1, 1007, 1, 1, 1006, 6, 1, 10
03, 1, 16, 1003, 1, 31, 1003, 1, 46, 1003, 1, 61, 1003, 1, 76, 1003, 1), SDO_ORD
INATE_ARRAY(5, 1, 0, 5, 7, 0, 8, 6, 0, 8, 1, 0, 5, 1, 0, 5, 1, 5, 8, 1, 10, 8, 6
, 10, 5, 7, 5, 5, 1, 5, 5, 1, 0, 8, 1, 0, 8, 1, 10, 5, 1, 5, 5, 1, 0, 8, 1, 0, 8
, 6, 0, 8, 6, 10, 8, 1, 10, 8, 1, 0, 8, 6, 0, 5, 7, 0, 5, 7, 5, 8, 6, 10, 8, 6,
0, 5, 7, 0, 5, 1, 0, 5, 1, 5, 5, 7, 5, 5, 7, 0))
The following example returns the three-dimensional composite solid geometry representing an extrusion from a two-dimensional polygon geometry with inner rings.
SELECT SDO_UTIL.EXTRUDE(
SDO_GEOMETRY(
    2003,
    null,
    null,
    SDO_ELEM_INFO_ARRAY(1, 1003, 1, 11, 2003, 1,
      21, 2003,1, 31,2003,1, 41, 2003, 1),
    SDO_ORDINATE_ARRAY(0,0, 8,0, 8,8, 0,8, 0,0,
      1,3, 1,4, 2,4, 2,3, 1,3, 1,1, 1,2, 2,2, 2,1, 1,1,
      1,6, 1,7, 2,7, 2,6, 1,6, 3,2, 3,4, 4,4, 4,2, 3,2)),
SDO_NUMBER_ARRAY(-1.0),
SDO_NUMBER_ARRAY(1.0),
0.0001) from dual;
SDO_UTIL.EXTRUDE(SDO_GEOMETRY(2003,NULL,NULL,SDO_ELEM_INFO_ARRAY(1,1003,1,11,200
SDO_GEOMETRY(3008, NULL, NULL, SDO_ELEM_INFO_ARRAY(1, 1008, 4, 1, 1007, 1, 1, 10
06, 16, 1, 1003, 1, 46, 1003, 1, 91, 1003, 1, 106, 1003, 1, 121, 1003, 1, 136, 1
003, 1, 151, 1003, 1, 166, 1003, 1, 181, 1003, 1, 196, 1003, 1, 211, 1003, 1, 22
6, 1003, 1, 241, 1003, 1, 256, 1003, 1, 271, 1003, 1, 286, 1003, 1, 301, 1007, 1
, 301, 1006, 10, 301, 1003, 1, 328, 1003, 1, 355, 1003, 1, 370, 1003, 1, 385, 10
03, 1, 400, 1003, 1, 415, 1003, 1, 430, 1003, 1, 445, 1003, 1, 460, 1003, 1, 475
, 1007, 1, 475, 1006, 6, 475, 1003, 1, 490, 1003, 1, 505, 1003, 1, 520, 1003, 1,
535, 1003, 1, 550, 1003, 1, 565, 1007, 1, 565, 1006, 10, 565, 1003, 1, 592, 100
3, 1, 619, 1003, 1, 634, 1003, 1, 649, 1003, 1, 664, 1003, 1, 679, 1003, 1, 694,
1003, 1, 709, 1003, 1, 724, 1003, 1), SDO_ORDINATE_ARRAY(4, 0, -1, 4, 2, -1, 4,
4, -1, 3, 4, -1, 2, 4, -1, 2, 7, -1, 1, 7, -1, 1, 6, -1, 1, 4, -1, 1, 3, -1, 0,
3, -1, 0, 8, -1, 8, 8, -1, 8, 0, -1, 4, 0, -1, 4, 0, 1, 8, 0, 1, 8, 8, 1, 0, 8,
1, 0, 3, 1, 1, 3, 1, 1, 4, 1, 1, 6, 1, 1, 7, 1, 2, 7, 1, 2, 4, 1, 3, 4, 1, 4, 4
, 1, 4, 2, 1, 4, 0, 1, 4, 0, -1, 8, 0, -1, 8, 0, 1, 4, 0, 1, 4, 0, -1, 8, 0, -1,
8, 8, -1, 8, 8, 1, 8, 0, 1, 8, 0, -1, 8, 8, -1, 0, 8, -1, 0, 8, 1, 8, 8, 1, 8,
8, -1, 0, 8, -1, 0, 3, -1, 0, 3, 1, 0, 8, 1, 0, 8, -1, 0, 3, -1, 1, 3, -1, 1, 3,
1, 0, 3, 1, 0, 3, -1, 1, 3, -1, 1, 4, -1, 1, 4, 1, 1, 3, 1, 1, 3, -1, 1, 4, -1,
1, 6, -1, 1, 6, 1, 1, 4, 1, 1, 4, -1, 1, 6, -1, 1, 7, -1, 1, 7, 1, 1, 6, 1, 1,
6, -1, 1, 7, -1, 2, 7, -1, 2, 7, 1, 1, 7, 1, 1, 7, -1, 2, 7, -1, 2, 4, -1, 2, 4,
1, 2, 7, 1, 2, 7, -1, 2, 4, -1, 3, 4, -1, 3, 4, 1, 2, 4, 1, 2, 4, -1, 3, 4, -1,
4, 4, -1, 4, 4, 1, 3, 4, 1, 3, 4, -1, 4, 4, -1, 4, 2, -1, 4, 2, 1, 4, 4, 1, 4,
4, -1, 4, 2, -1, 4, 0, -1, 4, 0, 1, 4, 2, 1, 4, 2, -1, 0, 3, -1, 1, 3, -1, 1, 1,
-1, 2, 1, -1, 3, 2, -1, 4, 2, -1, 4, 0, -1, 0, 0, -1, 0, 3, -1, 0, 3, 1, 0, 0,
1, 4, 0, 1, 4, 2, 1, 3, 2, 1, 2, 1, 1, 1, 1, 1, 1, 3, 1, 0, 3, 1, 0, 3, -1, 0, 0
, -1, 0, 0, 1, 0, 3, 1, 0, 3, -1, 0, 0, -1, 4, 0, -1, 4, 0, 1, 0, 0, 1, 0, 0, -1
, 4, 0, -1, 4, 2, -1, 4, 2, 1, 4, 0, 1, 4, 0, -1, 4, 2, -1, 3, 2, -1, 3, 2, 1, 4
, 2, 1, 4, 2, -1, 3, 2, -1, 2, 1, -1, 2, 1, 1, 3, 2, 1, 3, 2, -1, 2, 1, -1, 1, 1
, -1, 1, 1, 1, 2, 1, 1, 2, 1, -1, 1, 1, -1, 1, 3, -1, 1, 3, 1, 1, 1, 1, 1, 1, -1
, 1, 3, -1, 0, 3, -1, 0, 3, 1, 1, 3, 1, 1, 3, -1, 1, 6, -1, 2, 6, -1, 2, 4, -1,
1, 4, -1, 1, 6, -1, 1, 6, 1, 1, 4, 1, 2, 4, 1, 2, 6, 1, 1, 6, 1, 1, 6, -1, 1, 4,
-1, 1, 4, 1, 1, 6, 1, 1, 6, -1, 1, 4, -1, 2, 4, -1, 2, 4, 1, 1, 4, 1, 1, 4, -1,
2, 4, -1, 2, 6, -1, 2, 6, 1, 2, 4, 1, 2, 4, -1, 2, 6, -1, 1, 6, -1, 1, 6, 1, 2,
6, 1, 2, 6, -1, 1, 3, -1, 2, 3, -1, 2, 4, -1, 3, 4, -1, 3, 2, -1, 2, 1, -1, 2,
2, -1, 1, 2, -1, 1, 3, -1, 1, 3, 1, 1, 2, 1, 2, 2, 1, 2, 1, 1, 3, 2, 1, 3, 4, 1,
2, 4, 1, 2, 3, 1, 1, 3, 1, 1, 3, -1, 1, 2, -1, 1, 2, 1, 1, 3, 1, 1, 3, -1, 1, 2
, -1, 2, 2, -1, 2, 2, 1, 1, 2, 1, 1, 2, -1, 2, 2, -1, 2, 1, -1, 2, 1, 1, 2, 2, 1
, 2, 2, -1, 2, 1, -1, 3, 2, -1, 3, 2, 1, 2, 1, 1, 2, 1, -1, 3, 2, -1, 3, 4, -1,
3, 4, 1, 3, 2, 1, 3, 2, -1, 3, 4, -1, 2, 4, -1, 2, 4, 1, 3, 4, 1, 3, 4, -1, 2, 4
, -1, 2, 3, -1, 2, 3, 1, 2, 4, 1, 2, 4, -1, 2, 3, -1, 1, 3, -1, 1, 3, 1, 2, 3, 1
, 2, 3, -1))These are examples from Spatial User's Guide.
ORA-54668 means that you need to update your srid to a 3D srid.
Please check out Spatial User's Guide, Pro Oracle Spatial for 11g book and
the following paper (which we can send you a copy offline)
B. M. Kazar, R. Kothuri, P. v. Oosterom and S. Ravada, "On Valid and Invalid Three-
Dimensional Geometries", 2nd International Workshop on 3D Geo-Information: Requirements, Acquisition,
Modelling, Analysis, Visualisation, 12-14 December 2007, Delft, the Netherlands (Published as Chapter 2,
pp. 19-46 in Advances in 3D Geoinformation Systems Series: Lecture Notes in Geoinformation and
Cartography Oosterom, P.v.; Zlatanova, S.; Penninga, F.; Fendel, E. (Eds.) 2008, XX, 441 p. 235 illus.,
Hardcover ISBN: 978-3-540-72134-5
Maybe if you can post here an example geometry from your data,
we can help you more.
Hope these help.
Thanks

Spatial Queries Not Always Producing Accurate Results

Hi,
Spatial queries are not always producing accurate results. Here are the issues. We would appreciate any clarification you could provide to resolve these issues.
1. When querying for points inside a polygon that is not an MBR (minimum bounded rectangle), some of the coordinates returned are not inside the polygon. It is as though the primary filter is working, but not the secondary filter when using sdo_relate. How can we validate that the spatial query using sdo_relate is using the secondary filter?
2. SDO_GEOM.VALIDATE_GEOMETRY_WITH_CONTEXT returns true when validating geometries even though we find results that are invalid.
3. Illegal geodetic coordinates can be inserted into a table: latitude > 90.0, latitude < -90.0, longitude > 180.0 or longitude < -180.0.
4. Querying for coordinates outside the MBR for the world where illegal coordinates existed did NOT return any rows, yet there were coordinates of long, lat: 181,91.
The following are examples and information relating to the above-referenced points.
select * from USER_SDO_GEOM_METADATA
TABLE_NAME      COLUMN_NAME      DIMINFO(SDO_DIMNAME, SDO_LB, SDO_UB, SDO_TOLERANCE)      SRID
LASTKNOWNPOSITIONS      THE_GEOM SDO_DIM_ARRAY(SDO_DIM_ELEMENT('X', -180, 180, .05), SDO_DIM_ELEMENT('Y', -90, 90, .05))      8307
POSITIONS     THE_GEOM SDO_DIM_ARRAY(SDO_DIM_ELEMENT('X', -180, 180, .05), SDO_DIM_ELEMENT('Y', -90, 90, .05))      8307
Example 1: Query for coordinates inside NON-rectangular polygon includes points outside of polygon.
SELECT l.vesselid, l.latitude, l.longitude, TO_CHAR(l.observationtime,
'YYYY-MM-DD HH24:MI:SS') as obstime FROM lastknownpositions l where
SDO_RELATE(l.the_geom,SDO_GEOMETRY(2003, 8307, NULL,
SDO_ELEM_INFO_ARRAY(1, 1003, 1),
SDO_ORDINATE_ARRAY(-98.20268,18.05079,-57.30101,18.00705,-57.08229,
54.66061,-98.59638,32.87842,-98.20268,18.05079)),'mask=inside')='TRUE'
This query returns the following coordinates that are outside of the polygon:
vesselid : 1152 obstime : 2005-08-24 06:00:00 long : -82.1 lat : 45.3
vesselid : 3140 obstime : 2005-08-28 12:00:00 long : -80.6 lat : 44.6
vesselid : 1253 obstime : 2005-08-22 09:00:00 long : -80.0 lat : 45.3
Example 2a: Using SDO_GEOM.VALIDATE_GEOMETRY_WITH_CONTEXT
Select areaid, the_geom,
SDO_GEOM.VALIDATE_GEOMETRY_WITH_CONTEXT(the_geom, 0.005) from area where
areaid=24
ResultSet:
AREAID THE_GEOM(SDO_GTYPE, SDO_SRID, SDO_POINT(X, Y, Z), SDO_ELEM_INFO,
SDO_ORDINATES) SDO_GEOM.VALIDATE_GEOMETRY_WITH_CONTEXT(THE_GEOM,0.005)
24 SDO_GEOMETRY(2003, 8307, NULL, SDO_ELEM_INFO_ARRAY(1, 1003, 1), SDO_ORDINATE_ARRAY(-98.20268, 18.05079, -57.30101, 18.00705, -57.08229, 54.66061, -98.59638, 32.87842, -98.20268, 18.05079)) TRUE
Example 2b: Using SDO_GEOM.VALIDATE_GEOMETRY_WITH_CONTEXT
Select positionid, vesselid, the_geom,
SDO_GEOM.VALIDATE_GEOMETRY_WITH_CONTEXT(the_geom, 0.005) from positions where vesselid=1152
ResultSet:
POSITIONID VESSELID THE_GEOM(SDO_GTYPE, SDO_SRID, SDO_POINT(X, Y, Z),
SDO_ELEM_INFO, SDO_ORDINATES) DO_GEOM.VALIDATE_GEOMETRY_WITH_CONTEXT(THE_GEOM,0.005)
743811 1152 SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE(-82.1, 45.3, NULL), NULL, NULL) TRUE
743812 1152 SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE(-82.1, 45.3, NULL), NULL, NULL) TRUE
743813 1152 SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE(-80.2, 42.5, NULL), NULL, NULL) TRUE
743814 1152 SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE(-80.2, 42.5, NULL), NULL, NULL) TRUE
Example 3: Invalid Coordinate values found in POSITIONS table.
SELECT p.positionid, p.latitude, p.longitude, p.the_geom FROM positions p
WHERE p.latitude < -180.0
2 lines from ResultSet:
POSITIONID LATITUDE LONGITUDE THE_GEOM(SDO_GTYPE, SDO_SRID, SDO_POINT(X, Y, Z), SDO_ELEM_INFO, SDO_ORDINATES)
714915 -210.85408 -79.74449 SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE(-79.74449, -210.85408, NULL), NULL, NULL)
714938 -211.13632 -79.951256 SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE(-79.951256, -211.13632, NULL), NULL, NULL)
SELECT p.positionid, p.latitude, p.longitude, p.the_geom FROM positions p
WHERE p.longitude > 180.0
3 lines from ResultSet:
POSITIONID LATITUDE LONGITUDE THE_GEOM(SDO_GTYPE, SDO_SRID, SDO_POINT(X, Y, Z), SDO_ELEM_INFO, SDO_ORDINATES)
588434 91 181 SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE(181, 91, NULL), NULL, NULL)
589493 91 181 SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE(181, 91, NULL), NULL, NULL)
589494 91 181 SDO_GEOMETRY(2001, 8307, SDO_POINT_TYPE(181, 91, NULL), NULL, NULL)
Example 4: Failure to locate illegal coordinates by querying for disjoint coordinates outside of MBR for the world:
SELECT p.vesselid, p.latitude, p.longitude, p.the_geom,
TO_CHAR(p.observationtime, 'YYYY-MM-DD HH24:MI:SS') as obstime,
SDO_GEOM.RELATE(p.the_geom, 'determine',
SDO_GEOMETRY(2003, 8307, NULL,SDO_ELEM_INFO_ARRAY(1, 1003, 1),
SDO_ORDINATE_ARRAY(-180.0,-90.0,180.0,-90.0,180.0,90.0,
-180.0,90.0,-180.0,-90.0)), .005) relationship FROM positions p where
SDO_GEOM.RELATE(p.the_geom, 'disjoint', SDO_GEOMETRY(2003, 8307,
NULL,SDO_ELEM_INFO_ARRAY(1, 1003, 1),
SDO_ORDINATE_ARRAY(-180.0,-90.0,180.0,-90.0,180.0,90.0,-80.0,90.0,
-180.0,-90.0)),.005)='TRUE'
no rows selected
Carol Saah

Hi Carol,
1) I think the results are correct. Note in a geodetic coordinate system adjacent points in a linestring or polygon are connected via geodesics. You are probably applying planar thinking to an ellipsoidal problem! I don't have time to do the full analysis right now, but a first guess is that is what is happening.
2) The query window seems to be valid. I don't think this is a problem.
3) Oracle will let you insert most anything into a table. In the index, it probably wraps. If you validate, I think the validation routines will tell you is is illegal if you use the signature with diminfo, where the coordinate system bounds are included in the validation.
4) Your query window is not valid. Your data is not valid. As the previous reply stated, you need to have valid data. If you think in terms of a geodetic coordinate system, you will realize that -180.0,-90.0 and 180.0,-90.0 are really the same point. Also, Oracle has a rule that polygon geometries cannot be greater than half the surface of the Earth.
Hope this helps.

Spatial analysis

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