Add spatial joins with NRCan and GeoIndex into the main workflow
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@ -124,9 +124,9 @@ for each in range(num_layers):
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processing.run("native:extractbyexpression", splitting_params)
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# Creating spatian index for each new layer
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create_spatial_indext_params = {'INPUT': output_layer_path, 'OUTPUT': 'Output'}
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processing.run("native:createspatialindex", create_spatial_indext_params)
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# Creating spatial index for each new layer
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create_index_params = {'INPUT': output_layer_path, 'OUTPUT': 'Output'}
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processing.run("native:createspatialindex", create_index_params)
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# Putting the remaining features in one last layer (So, overall we're going to have [num_layers + 1] layers).
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remaining_features = num_layers
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@ -139,8 +139,8 @@ last_splitting_params = {'INPUT': clipped_nrcan_layer,
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processing.run("native:extractbyexpression", last_splitting_params)
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# Create spatial index for the last partition (layer)
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create_spatial_indext_params = {'INPUT': output_layer_path, 'OUTPUT': 'Output'}
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processing.run("native:createspatialindex", create_spatial_indext_params)
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create_index_params = {'INPUT': output_layer_path, 'OUTPUT': 'Output'}
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processing.run("native:createspatialindex", create_index_params)
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# Now we clip the property assessment with each of the partitions (layers)
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# from the last process. The process outputs the pairwise clipped version of
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@ -159,9 +159,9 @@ for each in range(num_clipped_layers):
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pairwise_clipping_params = {'INPUT': property_assessment_layer, 'OVERLAY': clipping_layer, 'FILTER_EXPRESSION': '', 'FILTER_EXTENT': None, 'OUTPUT': clipped_layer}
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processing.run("native:clip", pairwise_clipping_params)
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# Creating spatian index for each new layer
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create_spatial_indext_params = {'INPUT': clipped_layer, 'OUTPUT': 'Output'}
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processing.run("native:createspatialindex", create_spatial_indext_params)
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# Creating spatial index for each new layer
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create_index_params = {'INPUT': clipped_layer, 'OUTPUT': 'Output'}
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processing.run("native:createspatialindex", create_index_params)
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print("Pairwise Clipping is completed.")
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@ -171,12 +171,70 @@ print("Pairwise Clipping is completed.")
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# First we extract all the .shp files (clipped layers) from each folder
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pairwise_clipped_layers_path = find_shp_files(clipped_layers_folder)
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pairwise_clipped_property_assessment = 'C:/Users/a_adli/PycharmProjects/hydroquebec_archetype_gispy/data/output_data/pairwise_clipped_property_assessment/pairwise_clipped.shp'
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pairwise_clipped_property_assessment_layer = 'C:/Users/a_adli/PycharmProjects/hydroquebec_archetype_gispy/data/output_data/pairwise_clipped_property_assessment/pairwise_clipped.shp'
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merging_params = {'LAYERS': pairwise_clipped_layers_path,
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'CRS': None,
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'OUTPUT': pairwise_clipped_property_assessment}
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'OUTPUT': pairwise_clipped_property_assessment_layer}
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processing.run("native:mergevectorlayers", merging_params)
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# Create spatial index for the pairwise clipped Property Assessment
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create_index_params = {'INPUT': pairwise_clipped_property_assessment_layer, 'OUTPUT': 'Output'}
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processing.run("native:createspatialindex", create_index_params)
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pairwise_clipped_property_assessment, pairwise_clipped_property_assessment_name = \
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load_layer(pairwise_clipped_property_assessment_layer, 'Pairwise Clipped Property Assessment Layer')
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print(f'{pairwise_clipped_property_assessment_name} data count: {pairwise_clipped_property_assessment.featureCount()}')
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# -----
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# Delete path and layer fields (This is going to be added after testing the whole program).
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# -----
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# In QGIS spatial join is named Join Attributes by Location
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# Spatial join Pairwise Clipped Property Assessment with Clipped NRCan
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property_assessment_nrcan_layer = 'C:/Users/a_adli/PycharmProjects/hydroquebec_archetype_gispy/data/output_data/property_join_nrcan/property_join_nrcan.shp'
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spatial_join_nrcan_params = {'INPUT': pairwise_clipped_property_assessment_layer,
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'PREDICATE': [0],
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'JOIN': clipped_nrcan_layer,
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'JOIN_FIELDS': [],
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'METHOD': 0,
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'DISCARD_NONMATCHING': False,
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'PREFIX': '',
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'OUTPUT': property_assessment_nrcan_layer}
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feedback = QgsProcessingFeedback()
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processing.run('native:joinattributesbylocation', spatial_join_nrcan_params, feedback=feedback)
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create_index_params = {'INPUT': property_assessment_nrcan_layer, 'OUTPUT': 'Output'}
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processing.run("native:createspatialindex", create_index_params)
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property_assessment_nrcan, property_assessment_nrcan_name = \
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load_layer(property_assessment_nrcan_layer, 'Property Assessment Layer Joined with NRCan')
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print(f'{property_assessment_nrcan_name} data count: {property_assessment_nrcan.featureCount()}')
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# Spatial join Pairwise Clipped (joined with NRCan) Property Assessment layer with Clipped GeoIndex layer
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property_assessment_nrcan_geo_layer = 'C:/Users/a_adli/PycharmProjects/hydroquebec_archetype_gispy/data/output_data/propertynrcan_join_geo/propertynrcan_join_geo.shp'
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spatial_join_nrcan_params = {'INPUT': property_assessment_nrcan_layer,
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'PREDICATE': [0],
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'JOIN': clipped_geoindex_layer,
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'JOIN_FIELDS': [],
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'METHOD': 0,
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'DISCARD_NONMATCHING': False,
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'PREFIX': '',
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'OUTPUT': property_assessment_nrcan_geo_layer}
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feedback = QgsProcessingFeedback()
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processing.run('native:joinattributesbylocation', spatial_join_nrcan_params, feedback=feedback)
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create_index_params = {'INPUT': property_assessment_nrcan_geo_layer, 'OUTPUT': 'Output'}
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processing.run("native:createspatialindex", create_index_params)
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property_assessment_nrcan_geo, property_assessment_nrcan_geo_name = \
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load_layer(property_assessment_nrcan_geo_layer, 'Property Assessment Layer Joined with NRCan')
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print(f'{property_assessment_nrcan_geo_name} data count: {property_assessment_nrcan_geo.featureCount()}')
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qgs.exitQgis()
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