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saga_algorithm_tests.yaml
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saga_algorithm_tests.yaml
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# See ../README.md for a description of the file format
tests:
- algorithm: saga:invertgrid
name: Raster tools - Invert grid
params:
GRID:
name: dem.tif
type: raster
results:
INVERSE:
hash:
- 8e3947b878a00f70ce837fba962f6be6d3f0c8eae2d614099b015f1e
- 5c37dab356adbd59ceb03d0e77802b43ce0ebaf930885375a5e14872
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
name: Simple add raster values to points
params:
GRIDS:
params:
- name: dem.tif
type: raster
type: multi
RESAMPLING: 0
SHAPES:
name: custom/points_over.shp
type: vector
results:
RESULT:
name: expected/saga/add_grid_to_points.shp
type: vector
compare:
fields:
demtif:
precision: -1
- 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
compare:
fields:
demtif:
precision: 0
- 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
# Broken on some SAGA versions
# - 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
- dbc59273f8c53a3a3d9cd57d3d3aa782905205b5b95acdf4097ecdf9
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
- 95619f06b421e0a61e083f5d3e32597958e0135a3a64ef2d6ac8ca6c
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
compare: false # results are not stable across different SAGA versions
- 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
compare: false # results are not stable across different SAGA versions
- 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
compare: false # results are not stable across different SAGA versions
- 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
compare: false # results are not stable across different SAGA versions
# 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
compare: false # results are not stable across different SAGA versions
- 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
- 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
compare:
geometry:
topo_equal_check: True
- 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
compare:
fields:
X000:
precision: 1
X001:
precision: 1
- 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
- 11a19537feab53c2da39ad30829384d43988520221f9f528b8f51a98
type: rasterhash
SEEDS:
name: expected/saga/watershed_segmentation_seeds.shp
type: vector
compare: false # results are not stable across different SAGA versions
SEGMENTS:
hash: f2e71e3374eb229d387db8f87bc24d09b86ffc23d9fca85f324b566b
type: rasterhash
# Broken on newer SAGA versions
# - 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
# Broken on newer SAGA versions
# - 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
- 7e78dbfe516c25ba76f2443b2670dab8943376f76dacec9669254535
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
- algorithm: saga:zonalrasterstatistics
name: Zonal grid statistics
params:
ZONES:
name: custom/dem_boolean.tif
type: raster
results:
OUTTAB:
name: expected/saga/zonal_grid_stats.dbf
type: vector
compare: false # results are not stable across different SAGA versions
- algorithm: saga:resampling
name: Resample down
params:
INPUT:
name: dem.tif
type: raster
KEEP_TYPE: true
SCALE_DOWN: 3
SCALE_UP: 5
TARGET_USER_FITS: 0
TARGET_USER_SIZE: 0.0005
results:
OUTPUT:
hash:
- 1b3a17a724c489ea2eea60b39bc1b9c79778832bd41e982a4e9fb09f
- 746dddd24daf093807e1a89dd2fa8b2ffe165a97f64388b26de99db4
type: rasterhash
- algorithm: saga:resampling
name: Resample up
params:
INPUT:
name: dem.tif
type: raster
KEEP_TYPE: true
SCALE_DOWN: 3
SCALE_UP: 5
TARGET_USER_FITS: 0
TARGET_USER_SIZE: 5.0e-05
results:
OUTPUT:
hash:
- 32008adf7520fee2848d689fcb53d0f8ac862bcd162575b03fefc7f1
- c3e15725bcee7b4df8a3da0b275291f73eff246873f5e8b2ef407d89
type: rasterhash
- algorithm: saga:resamplingfilter
name: Resampling filter
params:
GRID:
name: dem.tif
type: raster
SCALE: 10.0
results:
HIPASS:
hash:
- cf992e69d506924bb59a5fbabd86617e263cb951a61c1b3c0b10012b
- e63437e6b71cd48110787268adf53ba5312248e8096590afc2f813d6
type: rasterhash
LOPASS:
hash:
- f36069a8ceb7ffe839a34f66b82eebacb80143e9df4ed54485bf8293
- 0523c524a29f1944aa3f0e40347f33be70741313068773b8a99beeb2
type: rasterhash
- algorithm: saga:fillsinks
name: Fill sinks (Planchon/Darboux)
params:
DEM:
name: dem.tif
type: raster
MINSLOPE: 0.01
results:
RESULT:
hash:
- aa197cdf1b0bac1595bd337bab08ae3cddb82ddb4d06c17b528a1d43
- b91a5d26e540f6804210a1e3800c49ff123936784c658174bbce5642
type: rasterhash
- algorithm: saga:fillsinksqmofesp
name: Fill sinks (QM of ESP)
params:
DEM:
name: dem.tif
type: raster
DZFILL: 0.01
results:
FILLED:
hash:
- ebd24bb7d011f0c4d87d1e4748e89d90d5a78cfa820070ece87df4d0
- d17ab06bebda593113a0afa9abed6333cbd5d81779c2f777824854ea
type: rasterhash
SINKS:
hash:
- 83d1936c0421783372573c9dcd04e6415e9db911c5fa254e74c929b0
- eb32907cb99e313fb7adedf42bd34634b5c3eaee842d1839322f1bc2
type: rasterhash
- algorithm: saga:fillsinkswangliu
name: Fill sinks Wang & Liu
params:
ELEV:
name: dem.tif
type: raster
MINSLOPE: 0.01
results:
FDIR:
hash:
- 24367e9ca83c757628f329029d82341fe9111138e019138c949c34c0
- ea186bdf305cb484ee07923fe34a70554d422f8e414554120627a96f
type: rasterhash
FILLED:
hash:
- aa197cdf1b0bac1595bd337bab08ae3cddb82ddb4d06c17b528a1d43
- b91a5d26e540f6804210a1e3800c49ff123936784c658174bbce5642
type: rasterhash
WSHED:
hash: d891f15de1c742986647d619788c7b16a21909bf9c06c70579a4797c
type: rasterhash
- algorithm: saga:fillsinksxxlwangliu
name: Fill Sinks Wang & Lui XXL
params:
ELEV:
name: dem.tif
type: raster
MINSLOPE: 0.1
results:
FILLED:
hash:
- aa197cdf1b0bac1595bd337bab08ae3cddb82ddb4d06c17b528a1d43
- b91a5d26e540f6804210a1e3800c49ff123936784c658174bbce5642
type: rasterhash
- algorithm: saga:svmclassification
name: SVM Classification
params:
CACHE_SIZE: 100.0
COEF0: 0.0
COST: 1.0
CROSSVAL: 1
DEGREE: 3
EPS: 0.001
EPS_SVR: 0.1
GAMMA: 0.0
GRIDS:
params:
- name: dem.tif
type: raster
type: multi
KERNEL_TYPE: 2
MESSAGE: false
MODEL_LOAD:
name: ''
type: file
MODEL_SAVE:
name: ''
type: file
MODEL_SRC: 0
NU: 0.5
PROBABILITY: false
ROI:
name: custom/saga/training_areas.shp
type: vector
ROI_ID: class
SCALING: 2
SHRINKING: false
SVM_TYPE: 0
results:
CLASSES:
hash:
- deeb8769979916ab544a824cd5400d4a4207e7df37fbeaaa6e4830af
- 1c4b3628bb3c0f3484c85ee80f06bd7cf9ef8d59be46446b87383ed3
type: rasterhash
- algorithm: saga:multipleregressionanalysispointsandpredictorgrids
name: Multi regression points predictor grids
params:
ATTRIBUTE: rvalue_1
COORD_X: false
COORD_Y: false
CROSSVAL: 0
CROSSVAL_K: 10
INTERCEPT: true
METHOD: 3
POINTS:
name: custom/saga/points_regression.shp
type: vector
PREDICTORS:
params:
- name: dem.tif
type: raster
type: multi
P_VALUE: 5.0
RESAMPLING: 3
RESIDUAL_COR: 0
results:
INFO_COEFF:
name: expected/saga/multiple_regression_points_grids_coef.dbf
type: vector
compare:
fields:
R:
precision: 2
R2:
precision: 2
R2_ADJ:
precision: 2
STD_ERROR:
precision: 2
T:
precision: 2
SIG:
precision: 3
P:
precision: 6
REGCOEFF:
precision: 2
INFO_MODEL:
name: expected/saga/multiple_regression_points_grids_model.dbf
type: vector
compare:
fields:
VALUE:
precision: 2
REGCOEFF:
precision: 2
INFO_STEPS:
name: expected/saga/multiple_regression_points_grids_steps.dbf
type: vector
compare:
fields:
R:
precision: 2
R2:
precision: 2
R2_ADJ:
precision: 2
STD_ERROR:
precision: 2
SSR:
precision: 2
SSE:
precision: 2
MSR:
precision: 2
MSE:
precision: 2
F:
precision: 2
SIG:
precision: 3
VAR_F:
precision: 2
VAR_SIG:
precision: 6
REGCOEFF:
precision: 2
REGRESCORR:
hash: d70078f0151919949c1e55c1a677f1a7cda6f7514667270af6745c0d
type: rasterhash
REGRESSION:
hash: b3a725ae64eec2aab8de1197f2306a0905c7c38de0dc89d58aadb3cc
type: rasterhash
RESIDUALS:
name: expected/saga/multiple_regression_points_grids_res.shp
type: vector
compare:
fields:
TREND:
precision: 2
RESIDUAL:
precision: 2
REGCOEFF:
precision: 2