QGIS/python/plugins/processing/tests/testdata/saga_algorithm_tests.yaml

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# See ../README.md for a description of the file format
tests:
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- algorithm: saga:invertgrid
name: Raster tools - Invert grid
params:
GRID:
name: dem.tif
type: raster
results:
INVERSE:
hash: 8e3947b878a00f70ce837fba962f6be6d3f0c8eae2d614099b015f1e
type: rasterhash
- algorithm: saga:fixeddistancebuffer
name: Vector general - Fixed distance buffer (polygon)
params:
DARC: 5.0
DISSOLVE: false
DIST_FIELD_DEFAULT: 0.5
NZONES: 1
POLY_INNER: false
SHAPES:
name: polys.gml
type: vector
results:
BUFFER:
name: expected/saga/buffer_polys.shp
type: vector
- algorithm: saga:addrastervaluestopoints
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name: Simple add raster values to points
params:
GRIDS:
params:
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- name: dem.tif
type: raster
type: multi
RESAMPLING: 0
SHAPES:
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name: custom/points_over.shp
type: vector
results:
RESULT:
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name: expected/saga/add_grid_to_points.shp
type: vector
- algorithm: saga:addrastervaluestofeatures
name: Add raster values to shapes
params:
GRIDS:
params:
- name: dem.tif
type: raster
type: multi
RESAMPLING: 0
SHAPES:
name: custom/lines_over.shp
type: vector
results:
RESULT:
name: expected/saga/add_grid_to_shapes.shp
type: vector
- algorithm: saga:mergevectorlayers
name: Merge vector layers
params:
INPUT:
params:
- name: points.gml
type: vector
- name: points_in_polys.gml
type: vector
type: multi
MATCH: true
SRCINFO: true
results:
MERGED:
name: expected/saga/merge_vector_layers.shp
type: vector
- algorithm: saga:reclassifyvaluessimple
name: Reclassify values (simple)
params:
GRID_IN:
name: raster.tif
type: raster
LOOKUP:
- 800
- 840
- 1
- 840
- 870
- 2
- 870
- 1000
- 3
METHOD: 2
results:
GRID_OUT:
hash: 57437ebf7eb3667c5aa390598120967b0a2cd5d85751185bb445d1f8
type: rasterhash
- algorithm: saga:rastercalculator
name: Raster calculator, 1 input
params:
FORMULA: a*10
GRIDS:
name: raster.tif
type: raster
RESAMPLING: 3
TYPE: 7
USE_NODATA: false
XGRIDS:
params: []
type: multi
results:
RESULT:
hash: 68d805a45416467e0f1be3066dd642772cf8ffdff9535f3254cd5ffb
type: rasterhash
- algorithm: saga:rastercalculator
name: Raster calculator, 2 inputs
params:
FORMULA: a*10+b
GRIDS:
name: raster.tif
type: raster
RESAMPLING: 3
TYPE: 7
USE_NODATA: false
XGRIDS:
params:
- name: raster.tif
type: raster
type: multi
results:
RESULT:
hash: c8c2c7c32ad3eaa1ebb491aed7af7d16f1c7f574a3de1f7622894092
type: rasterhash
- algorithm: saga:rastercalculator
name: Raster calculator, 3 inputs
params:
FORMULA: a*10+b-c
GRIDS:
name: raster.tif
type: raster
RESAMPLING: 3
TYPE: 7
USE_NODATA: false
XGRIDS:
params:
- name: dem.tif
type: raster
- name: raster.tif
type: raster
type: multi
results:
RESULT:
hash: a11f159696f5726eedaa16e872fd2582cf8a88c8c1d84d72560e4647
type: rasterhash
- algorithm: saga:simplekriging
name: Simple kriging
params:
BLOCK: true
DBLOCK: 1.0
FIELD: elev
LOG: false
POINTS:
name: pointsz.gml
type: vector
SEARCH_DIRECTION: 0
SEARCH_POINTS_ALL: 0
SEARCH_POINTS_MAX: 10
SEARCH_POINTS_MIN: 3
SEARCH_RADIUS: 5.0
SEARCH_RANGE: 0
TARGET_USER_FITS: 0
TARGET_USER_SIZE: 1.0
TQUALITY: 0
VAR_MAXDIST: -1.0
VAR_MODEL: a + b * x
VAR_NCLASSES: 100
VAR_NSKIP: 1
results:
PREDICTION:
hash: a1f5a1d369cef86332a914442c444d1c0753e471523cb838d0b2bc09
type: rasterhash
VARIANCE:
hash: 4f0378da7f0ff16326b6c404a202b004b66dbffcda38f42544a11490
type: rasterhash
- algorithm: saga:ordinarykriging
name: Ordinary Kriging
params:
BLOCK: true
DBLOCK: 1.0
FIELD: elev
LOG: true
POINTS:
name: pointsz.gml
type: vector
SEARCH_DIRECTION: 0
SEARCH_POINTS_ALL: 0
SEARCH_POINTS_MAX: 10
SEARCH_POINTS_MIN: 3
SEARCH_RADIUS: 5.0
SEARCH_RANGE: 0
TARGET_USER_FITS: 0
TARGET_USER_SIZE: 1.0
TQUALITY: 0
VAR_MAXDIST: -1.0
VAR_MODEL: a + b * x
VAR_NCLASSES: 100
VAR_NSKIP: 1
results:
PREDICTION:
hash: 0fff15c98a1c5af9eab6c242559a5f4484a7a40f5be399899b24fd39
type: rasterhash
VARIANCE:
hash: ec7b708609178533ac2b89cd575140415ef93c70396fa630d1c15b67
type: rasterhash
- algorithm: saga:universalkriging
name: Universal Kriging
params:
BLOCK: true
DBLOCK: 1.0
FIELD: elev
LOG: true
POINTS:
name: pointsz.gml
type: vector
SEARCH_DIRECTION: 0
SEARCH_POINTS_ALL: 0
SEARCH_POINTS_MAX: 10
SEARCH_POINTS_MIN: 3
SEARCH_RADIUS: 5.0
SEARCH_RANGE: 0
TARGET_USER_FITS: 0
TARGET_USER_SIZE: 1.0
TQUALITY: 0
VAR_MAXDIST: -1.0
VAR_MODEL: a + b * x
VAR_NCLASSES: 100
VAR_NSKIP: 1
results:
PREDICTION:
hash: 0fff15c98a1c5af9eab6c242559a5f4484a7a40f5be399899b24fd39
type: rasterhash
VARIANCE:
hash: ec7b708609178533ac2b89cd575140415ef93c70396fa630d1c15b67
type: rasterhash
- algorithm: saga:polygonupdate
name: Polygon update
params:
A:
name: custom/overlay1_a.geojson
type: vector
B:
name: custom/overlay1_b.geojson
type: vector
SPLIT: true
results:
RESULT:
name: expected/saga/polygon_update.shp
type: vector
- algorithm: saga:polygonunion
name: Polygon union
params:
A:
name: custom/overlay1_a.geojson
type: vector
B:
name: custom/overlay1_b.geojson
type: vector
SPLIT: true
results:
RESULT:
name: expected/saga/polygon_union.shp
type: vector
- algorithm: saga:polygonidentity
name: Polygon identity
params:
A:
name: custom/overlay1_a.geojson
type: vector
B:
name: custom/overlay1_b.geojson
type: vector
SPLIT: true
results:
RESULT:
name: expected/saga/polygon_identity.shp
type: vector
- algorithm: saga:difference
name: Polygon difference
params:
A:
name: custom/overlay1_a.geojson
type: vector
B:
name: custom/overlay1_b.geojson
type: vector
SPLIT: true
results:
RESULT:
name: expected/saga/polygon_difference.shp
type: vector
# Note - SAGA results are wrong here, so really we are just testing that the algorithm runs. Use the native one instead!
- algorithm: saga:symmetricaldifference
name: Polygon symmetrical difference
params:
A:
name: custom/overlay1_a.geojson
type: vector
B:
name: custom/overlay1_b.geojson
type: vector
SPLIT: true
results:
RESULT:
name: expected/saga/polygon_symmetrical_difference.shp
type: vector
- algorithm: saga:intersect
name: Polygon intersect
params:
A:
name: custom/overlay1_a.geojson
type: vector
B:
name: custom/overlay1_b.geojson
type: vector
SPLIT: true
results:
RESULT:
name: expected/saga/polygon_intersect.shp
type: vector
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- algorithm: saga:polygonselfintersection #spellok
name: Polygon self intersection
params:
POLYGONS:
name: custom/overlay2_b.geojson
type: vector
results:
INTERSECT:
name: expected/saga/polygon_self_intersection.shp
type: vector
- algorithm: saga:crossprofiles
name: Cross profiles
params:
DEM:
name: dem.tif
type: raster
DIST_LINE: 0.001
DIST_PROFILE: 0.002
LINES:
name: custom/lines_over.shp
type: vector
NUM_PROFILE: 10
results:
PROFILES:
name: expected/saga/cross_profiles.shp
type: vector
- algorithm: saga:snappointstolines
name: Snap points to lines
params:
DISTANCE: 0.9
INPUT:
name: snap_points.gml
type: vector
SNAP:
name: snap_lines.gml
type: vector
results:
MOVES:
name: expected/saga/snap_points_to_lines_moves.shp
type: vector
OUTPUT:
name: expected/saga/snap_points_to_lines_result.shp
type: vector
- algorithm: saga:snappointstopoints
name: Snap points to points
params:
DISTANCE: 0.5
INPUT:
name: snap_points.gml
type: vector
SNAP:
name: points.gml
type: vector
results:
MOVES:
name: expected/saga/snap_points_to_points_moves.shp
type: vector
OUTPUT:
name: expected/saga/snap_points_to_points_result.shp
type: vector
- algorithm: saga:interpolatecubicspline
name: Cubic spline
params:
FIELD: fid
K: 140
NPMAX: 20
NPMIN: 3
NPPC: 2.0
SHAPES:
name: pointsz.gml
type: vector
TARGET_USER_FITS: 0
TARGET_USER_SIZE: 0.5
results:
TARGET_OUT_GRID:
hash: f4ac677152697773262aa1e5f69146a475139014ace77149966ec045
type: rasterhash
- algorithm: saga:watershedsegmentation
name: Test (saga:watershedsegmentation)
params:
'BBORDERS': true
DOWN: 0
'EDGE': true
GRID:
name: dem.tif
type: raster
JOIN: 0
OUTPUT: 0
THRESHOLD: 0.5
results:
BORDERS:
hash: d0cd8bdc7c8400bedb2b5c1edc4a64b4c9b7c14692a4f30fbf3c5f2d
type: rasterhash
SEEDS:
name: expected/saga/watershed_segmentation_seeds.shp
type: vector
SEGMENTS:
hash: f2e71e3374eb229d387db8f87bc24d09b86ffc23d9fca85f324b566b
type: rasterhash
- algorithm: saga:multilevelbsplineinterpolation
name: Multilevel B Spline Interpolation
params:
EPSILON: 0.0001
FIELD: EC
METHOD: 0
SHAPES:
name: custom/points_values.gml
type: vector
TARGET_USER_FITS: 0
TARGET_USER_SIZE: 0.001
results:
TARGET_OUT_GRID:
hash: 793c02e1f71091d5dcc7523bc7a872a80d20bcb29a70797479dd7740
type: rasterhash
- algorithm: saga:multilevelbsplineinterpolationfromraster
name: Multilevel B Spline Interpolation from Raster
params:
DATATYPE: 0
EPSILON: 0.0001
GRID:
name: dem.tif
type: raster
LEVEL_MAX: 11
METHOD: 0
TARGET_USER_FITS: 0
TARGET_USER_SIZE: 0.01
UPDATE: false
results:
TARGET_OUT_GRID:
hash: 6f81c858fc7575eaff6258b6e75bf4427d0568d5134837523b730929
type: rasterhash
- algorithm: saga:pointdistances
name: Point distances
params:
FORMAT: 1
ID_POINTS: fid
MAX_DIST: 0.0
POINTS:
name: custom/points.shp
type: vector
results:
DISTANCES:
name: expected/saga/point_distances.dbf
type: vector
- algorithm: saga:patching
name: Patching
params:
ADDITIONAL:
name: dem.tif
type: raster
ORIGINAL:
name: custom/dem_gaps.tif
type: raster
RESAMPLING: 0
results:
COMPLETED:
hash: e016ba480e7c9a7cfe7bbbec50f4f3df0e796be7641fe68744f541b5
type: rasterhash
- algorithm: saga:rgbcomposite
name: RGB Composite
params:
B_GRID:
name: custom/grass7/raster_6class.tif
type: raster
B_METHOD: 1
B_PERCTL_MAX: 6
B_PERCTL_MIN: 1
B_RANGE_MAX: 255
B_RANGE_MIN: 0
B_STDDEV: 2.0
G_GRID:
name: custom/grass7/raster_4class.tif
type: raster
G_METHOD: 1
G_PERCTL_MAX: 99
G_PERCTL_MIN: 1
G_RANGE_MAX: 4
G_RANGE_MIN: 0
G_STDDEV: 2.0
R_GRID:
name: custom/grass7/raster_1class.tif
type: raster
R_METHOD: 1
R_PERCTL_MAX: 99
R_PERCTL_MIN: 1
R_RANGE_MAX: 1
R_RANGE_MIN: 0
R_STDDEV: 2.0
results:
RGB:
hash:
- db2c282835706e4320e7c59d86c28d930b35433ec57af70e35a325d5
- 9caba3703fd59f99466c0bf37054826d328d1349cfe03f171655adf6
type: rasterhash