NAME
m.neural_network.postprocessing.snapref - Merges classification vector with reference data.
KEYWORDS
vector
SYNOPSIS
m.neural_network.postprocessing.snapref
m.neural_network.postprocessing.snapref --help
m.neural_network.postprocessing.snapref a_input_classification=name b_input_reference=name output=name class_col=name merge_col=name [merge_col_null_value=integer] rmarea_thres_inside=float rmarea_where_inside=sql_query rmarea_thres_outside=float [snap=float] rmarea_where_outside=sql_query [--overwrite] [--help] [--verbose] [--quiet] [--ui]
Flags:
- --overwrite
- Allow output files to overwrite existing files
- --help
- Print usage summary
- --verbose
- Verbose module output
- --quiet
- Quiet module output
- --ui
- Force launching GUI dialog
Parameters:
- a_input_classification=name [required]
- Name of input vector map
- Input vector classification (a_<...> for attribute columns)
- b_input_reference=name [required]
- Name of input vector map
- Reference data for merging (b_<...> for attribute columns)
- output=name [required]
- merged vector output
- class_col=name [required]
- Attribute column containing attribute of class number
- Default: class_number
- merge_col=name [required]
- Attribute column containing attribute of reference data, along which should be merged
- merge_col_null_value=integer
- Dummy value for null value areas of reference data (should be value, which is not contained within the not-null attributes)
- Default: -1
- rmarea_thres_inside=float [required]
- Threshold for removing small areas, inside reference area
- rmarea_where_inside=sql_query [required]
- WHERE conditions of SQL statement without 'where' keyword
- User specific SQL query for cleaning up, inside reference area (Use a_ and b_ attributes)
- rmarea_thres_outside=float [required]
- Threshold for removing small areas, outside reference area
- snap=float
- Snapping threshold in map units
- Default: 0.0001
- rmarea_where_outside=sql_query [required]
- WHERE conditions of SQL statement without 'where' keyword
- User specific SQL query for cleaning up, outside reference area (Use a_ and b_ attributes)
m.neural_network.postprocessing.snapref merges classification vector with reference data.
m.neural_network.postprocessing.snapref \
a_input_classification=classification_vect b_input_reference=AX_Gebaeude \
output=classification_vect_clean_v01 \
merge_col=gebaeudefunktion \
rmarea_thres_inside=50 rmarea_where_inside="a_class_number <> 1 and b_gebaeudefunktion <> -1" \
rmarea_thres_outside=150 rmarea_where_outside="a_class_number = 1 and b_gebaeudefunktion = -1 and compact > 3.8"
v.overlay,
Lina Krisztian,
mundialis
SOURCE CODE
Available at:
m.neural_network.postprocessing.snapref source code
(history)
Accessed: Monday Jul 27 12:26:01 2026
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GRASS Development Team,
GRASS 8.5.1dev Reference Manual