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19 lines
1.2 KiB
Plaintext
19 lines
1.2 KiB
Plaintext
v.generalize
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v.generalize - Vector based generalization.
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Vector (v.*)
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ParameterVector|input|Input layer|-1|False
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ParameterSelection|method|method|douglas;douglas_reduction;lang;reduction;reumann;remove_small;boyle;sliding_averaging;distance_weighting;chaiken;hermite;snakes;network;displacement
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ParameterNumber|threshold|Maximal tolerance value|None|None|1.0
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ParameterNumber|look_ahead|Look-ahead parameter|None|None|7
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ParameterNumber|reduction|Percentage of the points in the output of 'douglas_reduction' algorithm|None|None|50
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ParameterNumber|slide|Slide of computed point toward the original point|None|None|0.5
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ParameterNumber|angle_thresh|Minimum angle between two consecutive segments in Hermite method|None|None|3
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ParameterNumber|degree_thresh|Degree threshold in network generalization|None|None|0
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ParameterNumber|closeness_thresh|Closeness threshold in network generalization|None|None|0
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ParameterNumber|betweeness_thresh|Betweeness threshold in network generalization|None|None|0
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ParameterNumber|alpha|Snakes alpha parameter|None|None|1.0
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ParameterNumber|beta|Snakes beta parameter|None|None|1.0
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ParameterNumber|iterations|Number of iterations|None|None|1
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ParameterBoolean|-c|Copy attributes|True
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OutputVector|output|Generalized
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