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[Processing] Split v.generalize (implements Redmine #5707)

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Médéric RIBREUX
Médéric RIBREUX committed Feb 9, 2016
1 parent d11c689 commit c931e1e71514f066c3bb0c5384014fb35d0e7a67
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v.generalize
v.generalize.displacement - Vector based displacement generalization.
Vector (v.*)
ParameterVector|input|Input layer|-1|False
Hardcoded|method=displacement
ParameterNumber|threshold|Maximal tolerance value|None|None|1.0
ParameterNumber|alpha|Snakes alpha parameter|None|None|1.0
ParameterNumber|beta|Snakes beta parameter|None|None|1.0
ParameterNumber|iterations|Number of iterations|None|None|1
ParameterBoolean|-t|Do not copy attributes|False
ParameterBoolean|-l|Disable loop support|True
OutputVector|output|Displaced
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v.generalize
v.generalize.network - Vector based network generalization.
Vector (v.*)
ParameterVector|input|Input layer|-1|False
Hardcoded|method=network
ParameterNumber|threshold|Maximal tolerance value|None|None|1.0
ParameterNumber|degree_thresh|Degree threshold in network generalization|None|None|0
ParameterNumber|closeness_thresh|Closeness threshold in network generalization|0.0|1.0|0.0
ParameterNumber|betweeness_thresh|Betweeness threshold in network generalization|None|None|0.0
ParameterBoolean|-t|Do not copy attributes|False
ParameterBoolean|-l|Disable loop support|True
OutputVector|output|NetworkGeneralized
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v.generalize
v.generalize.simplify - Vector based simplification generalization.
Vector (v.*)
ParameterVector|input|Input layer|-1|False
ParameterSelection|method|method|douglas;douglas_reduction;lang;reduction;reumann
ParameterNumber|threshold|Maximal tolerance value|None|None|1.0
ParameterNumber|look_ahead|Look-ahead parameter|None|None|7
ParameterNumber|reduction|Percentage of the points in the output of 'douglas_reduction' algorithm|0.0|100.0|50.0
ParameterBoolean|-t|Do not copy attributes|False
ParameterBoolean|-l|Disable loop support|True
OutputVector|output|Simplified
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v.generalize
v.generalize.smooth - Vector based smooth generalization.
Vector (v.*)
ParameterVector|input|Input layer|-1|False
ParameterSelection|method|method|boyle;sliding_averaging;distance_weighting;chaiken;hermite;snakes
ParameterNumber|threshold|Maximal tolerance value|None|None|1.0
ParameterNumber|look_ahead|Look-ahead parameter|None|None|7
ParameterNumber|slide|Slide of computed point toward the original point|0.0|1.0|0.5
ParameterNumber|angle_thresh|Minimum angle between two consecutive segments in Hermite method|0.0|180.0|3.0
ParameterNumber|alpha|Snakes alpha parameter|None|None|1.0
ParameterNumber|beta|Snakes beta parameter|None|None|1.0
ParameterBoolean|-t|Do not copy attributes|False
ParameterBoolean|-l|Disable loop support|True
OutputVector|output|Smoothed

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