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v.extract - Selects vector objects from an existing vector map and creates a new map containing only the selected objects.
v.extract [-dtr] input=name output=name [type=string[,string,...]] [layer=integer] [list=range] [where=sql_query] [file=name] [random=integer] [new=integer] [--overwrite] [--verbose] [--quiet]
- Dissolve common boundaries (default is no)
- Do not copy table (see also 'new' parameter)
- Reverse selection
- Allow output files to overwrite existing files
- Verbose module output
- Quiet module output
- Name of input vector map
- Name for output vector map
- Types to be extracted
- Feature type
- Options: point,line,boundary,centroid,area,face
- Default: point,line,boundary,centroid,area,face
- Layer number (if -1, all features in all layers of given type are extracted)
- A single vector map can be connected to multiple database tables. This number determines which table to use.
- Default: 1
- Category values
- Example: 1,3,7-9,13
- WHERE conditions of SQL statement without 'where' keyword
- Example: income < 1000 and inhab >= 10000
- Input text file with category numbers/number ranges to be extracted
- If '-' given reads from standard input
- Number of random categories matching vector objects to extract
- Number must be smaller than unique cat count in layer
- Enter -1 to keep original categories or the desired NEW category value
- If new >= 0, table is not copied
- Default: -1
v.extract allows a user to select vector objects from an existing
vector map and creates a new map containing only the selected objects.
Database tables can be queried with SQL statements, if a connection is
Dissolving (optional) is based on the output categories. If 2 adjacent
areas have the same output category, the boundary is removed.
If list, file, random or where options are not
specified, all features of given type and layer are
extracted. Categories are not changed in that case.
Only features with a category number will be extracted. So if you want to
extract boundaries (which are usually without category, as that information
is normally held in the area's centroid) you must first use
v.category to add them.
The examples are intended for the North Carolina sample dataset:
Extract areas by category number with dissolving #1:
v.extract -d list=1,2,3,4 input=soils_wake output=soil_groupa type=area new=0
produces a new vector soil_groupa, containing those areas from vector
soils which have category numbers 1 thru 4; any common boundaries are
dissolved, and all areas in the new map will be assigned category number 0.
Extract areas by category number with dissolving #2:
v.extract -d list=1-4 input=soils_wake output=soil_groupa type=area new=-1
produces a new vector map soil_groupa containing the areas from vector
soils which have categories 1 thru 4. Any common boundaries are
dissolved, all areas in the new map will retain their original category
numbers 1 thru 4, since new was set to -1.
Extract all areas and assign the same category to all:
v.extract input=soils_wake output=soil_groupa type=area new=1
produces a new vector map soil_groupa containing all areas from
soils. No common boundaries are dissolved, all areas of the new
map will be assigned category number 1.
Extract vectors with SQL:
v.extract input=markveggy.shp output=markveggy.1 new=13 where="(VEGTYPE = 'Wi') or (VEGTYPE = 'PS') or (PRIME_TYPE='Wi')"
produces a new vector map with category number 13 if the SQL statement is
Extract vector features which have the given field empty:
v.extract input=lakes output=lakes_gaps where="FTYPE is NULL"
Extract vector features which have the given field not empty:
v.extract input=lakes output=lakes_ftype where="FTYPE not NULL"
Reverse extracting (behaves like selective vector objects deleting):
Remove meteorological stations from map which are located above 1000m:
# check what to delete:
v.db.select precip_30ynormals where="elev > 1000"
# perform reverse selection
v.extract -r precip_30ynormals out=precip_30ynormals_lowland where="elev > 1000"
Dissolving based on column attributes:
# check column names:
v.info -c zipcodes_wake
# reclass based on desired column:
v.reclass zipcodes_wake out=zipcodes_wake_recl_nam col=ZIPNAME
v.info -c zipcodes_wake_recl_nam
v.extract -d zipcodes_wake_recl_nam out=zipcodes_wake_regions
This produces a new vector map with common boundaries dissolved where the reclassed
attributes of adjacent (left/right) areas are identical.
Remove islands from polygon map
v.extract in=map_with_islands out=maps_without_islands list=1-99999
v.extract -d in=map_with_islands out=maps_without_islands
Extract 3 random areas from geology map
This creates a new map with three random categories matching areas.
Note that there may be more than one feature with the same category.
v.extract input=geology output=random_geology type=area random=3
GRASS SQL interface
R.L. Glenn, USDA, SCS, NHQ-CGIS
GRASS 6 port by Radim Blazek
Last changed: $Date: 2013-12-27 08:45:42 -0800 (Fri, 27 Dec 2013) $
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