GEODI is also a GIS solution and has a powerful query language for spatial relations. This feature enables you to directly query on unstructured data using words, semantics rules and spatial relations. This features will save a lot of time and resources compared to traditional GIS solutions.
The following rules find content using geometric words such as places, points, section numbers, land parcels, roads, addresses, MGRS coordinates or photographs with GPS.
Found content will be in CONTENT pages, words will be in KEYWORDS page. The map will also show the result.
Operators
bbox
Intersects
Contains
Within
Equals
Touches
Related = Contains + CoveredBy + Touches
Distance
Covers
Overlaps
CoveredBy
Keywords
Keyword page normally lists keywords in the content. But some rules may change it. Word Proximity rule “()” and spatial queries are examples. When you add keyword “content” to spatial operator keywords also affected from the rule.
Related:Georgia returns some content and keyword page will show all keywords in those content.
RelatedContent:Georgia returns the same content but spatial keywords limited to rule. Not spatial keywords are not affected.
Samples
Related:42.5,36.4 | 42.5,36.4 (lon,lat) |
Related:42.5,36.4,43.8,38.5 | 42.5,36.4,43.8,38.5 (lon,lat,lon,lat) |
Related:42.5,36.4,46.0,36.4,43.2,32.1,42.5,36.4 | lon,lat,lon,lat.... area or line string.
|
Intersects:"Line 42.5,36.4,46.0,36.4" | lon,lat,lon,lat.... area or line string. |
Touches:"Georgia" | We assume there is a spatial city dictionary and there is a geometry for Georgia. |
Distance:"Georgia geodistance:50000" | Find content within 50000 meters. |
Within:"Georgia geocenter" | Finds documents covers the Georgina geocenter. |
Related:"Route66 geobuffer:10" | Set a buffer around Route66 with 10m and find related content. |
coordinates must not contain unnecessary blanks.