geo.overlaps( region-1 as cts.region, region-2 as cts.region, [options as String[]] ) as Boolean
Compares geospatial regions to see if they fulfill the 'overlaps' DE-9IM relation.
This function determines whether the two regions
R1=region-1
and R2=region-2
satisfy the relationship R1 overlaps R2.
The operations are defined by the Dimensionally Extended nine-Intersection Model (DE-9IM) of spatial relations.
The value of the precision
option takes precedence over
that implied by the governing coordinate system name, including the
value of the coordinate-system
option. For example, if the
governing coordinate system is "wgs84/double" and the precision
option is "float", then the operation uses single precision.
If region-1
or region-2
is a column, the column's
coordinate system will take precedence over the coordinate-system
option.
If both region-1
and region-2
are columns, the query
will run unoptimized. Queries with one region column and a region literal will be
optimized.
'use strict'; const r1 = cts.polygon('POLYGON((-122.427520751953 37.6555576956251,-122.459106445313 37.5658069549294,-122.289505004883 37.5946477878735,-122.427520751953 37.6555576956251))'); const r2 = cts.polygon('POLYGON((-122.40927186623249 37.61439364741368,-122.35022035256061 37.61439364741368,-122.35022035256061 37.54582854861736,-122.40927186623249 37.54582854861736,-122.40927186623249 37.61439364741368))'); geo.overlaps(r2,r1,['coordinate-system=wgs84','precision=double']) // returns true
// Optic example using the Value Processing Function op.geo.overlaps() const op = require('/MarkLogic/optic'); var polygonLit = `POLYGON((-109.05489567149378 37.007687849517886,-109.05489567149378 31.321594772151634, -108.19796207774378 31.39664652828848,-108.26388004649378 31.827028203476246, -106.52804020274378 31.808357379968474,-106.55001285899378 32.08802274501026, -103.03438785899378 32.03215780670212,-103.01241520274378 37.025232193318125, -109.05489567149378 37.007687849517886))` const result=op.fromView('buildings', 'builds') .where(op.geo.overlaps(op.col('poly'),polygonLit)) .select([op.col('name'), op.col('geoid')]) .orderBy('geoid') .result() result; // ==> // rows representing names and geoids where the 'poly' column OVERLAPS polygonLit (a rough New Mexico representation)
'use strict'; // SQL example using the ST_Overlaps function const literal = {"polyLit": `POLYGON((-83.74086287706339 35.30705888366864, -82.57081893175089 35.30705888366864, -82.57081893175089 33.64983884507408, -83.74086287706339 33.64983884507408, -83.74086287706339 35.30705888366864))`} var result = xdmp.sql('select * from builds where ST_Overlaps(poly,@polyLit) order by geoid limit 20', null, literal); result; // ==> // returns rows whose 'poly' column match the DE-9IM relationship OVERLAPS with the provided WKT polygon
'use strict'; const op = require('/MarkLogic/optic'); // GeoSPARQL example using geof:sfOverlaps() var poly = { poly: 'POLYGON((-83.74086287706339 35.30705888366864,-82.57081893175089 35.30705888366864,\ -82.57081893175089 33.64983884507408,-83.74086287706339 33.64983884507408,\ -83.74086287706339 35.30705888366864))' } var query = ` PREFIX my: <http://example.org/ApplicationSchema#> PREFIX geoml: <http://marklogic.com/geospatial#> PREFIX cts: <http://marklogic.com/cts#> PREFIX geof: <http://www.opengis.net/def/function/geosparql/> SELECT * WHERE { ?s my:hasExactGeometry ?o FILTER geof:sfOverlaps(?o, ?poly, 'coordinate-system=wgs84') } ORDER BY ?s` sem.sparql(query,poly) // ==> // rows representing geometries in a triple's object in the wgs84 coordinate system // that fulfill the OVERLAPS DE-9IM relation with the WKT polygon 'poly', ordered by subject
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