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Checking Type Locations
Just Checking
-- NAD27 to NAD83 echo 119d7\'4\"W 36d23\'13\"N | cs2cs +proj=latlong +datum=NAD27 +to +proj=latlong +datum=NAD83 -f "%.6f" -119.118718 36.386894 0.000037
-- the relevent SRIDs srid | proj4text ------+---------------------------------------------------- 4267 | +proj=longlat +ellps=clrk66 +datum=NAD27 +no_defs 4269 | +proj=longlat +ellps=GRS80 +datum=NAD83 +no_defs 4326 | +proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs -- NAD27 type location point \SET pt Transform(SetSRID(ST_MakePoint(-119.1177777, 36.38694444), 4267), 9001) -- find intersecting map unit, and the NAD83 coords SELECT AsText(Transform(:pt, 4269)) AS NAD83_pt, mapunit_poly.mukey, muname FROM mapunit_poly JOIN mapunit ON mapunit_poly.mukey = mapunit.mukey AND st_intersects(wkb_geometry, :pt) ; nad83_pt | mukey | muname -------------------------------------------+--------+-------------------------------------------------------- POINT(-119.118718055326 36.3868941884307) | 467194 | Grangeville sandy loam, drained, 0 TO 2 percent slopes -- 250 m buffer around NAD27 type location coords \SET box st_buffer(Transform(SetSRID(ST_MakePoint(-119.1177777, 36.38694444), 4267), 9001), 250) -- select overlapping map units and their associated percent overlap SELECT mapunit_poly.mukey, muname, round((ST_Area(ST_Intersection(wkb_geometry, :box)) / ST_Area(:box)) * 100) AS area_pct FROM mapunit_poly JOIN mapunit ON mapunit_poly.mukey = mapunit.mukey AND st_intersects(wkb_geometry, :box) ORDER BY area_pct DESC ; mukey | muname | area_pct --------+--------------------------------------------------------+---------- 467194 | Grangeville sandy loam, drained, 0 TO 2 percent slopes | 70 463596 | Grangeville silt loam, drained | 12 467206 | Riverwash | 11 467210 | Tujunga loamy sand, 0 TO 2 percent slopes | 7
Software
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- Example Spatial SQL Operations on Point, Line and Polygon Geometry Types
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- Analysis of SSURGO Data in PostGIS: An Overview
- Making Database Diagrams with PostgreSQL Autodoc
- PROJ: forward and reverse geographic projections
- GDAL and OGR: geodata conversion and re-projection tools
- R: advanced statistical package
- GRASS GIS: raster, vector, and imagery analysis
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