diff --git a/building_cleanup_workflow.py b/building_cleanup_workflow.py
new file mode 100644
index 0000000..0ebab9b
--- /dev/null
+++ b/building_cleanup_workflow.py
@@ -0,0 +1,144 @@
+"""
+handle_mtl_ds_workflow module
+The workflow of cleaning and updating the Montreal Buildings dataset.
+Project Developer: Alireza Adli alireza.adli@concordia.ca
+"""
+
+from scrub_layer_class import *
+from input_paths_and_layers import *
+
+# Making folders for the output data layers
+create_output_folders(output_paths, output_paths_dir)
+
+# Initialize the input data layers
+nrcan = ScrubLayer(qgis_path, input_paths['NRCan'], 'NRCan')
+geo_index = ScrubLayer(qgis_path, input_paths['GeoIndex'], 'GeoIndex')
+property_assessment = \
+  ScrubLayer(
+    qgis_path, input_paths['Property Assessment'], 'Property Assessment')
+montreal_boundary = \
+  ScrubLayer(qgis_path, input_paths['Montreal Boundary'], 'Montreal Boundary')
+
+# Processing the NRCan layer includes fixing its geometries
+print('Processing the NRCan layer')
+print(nrcan)
+nrcan.create_spatial_index()
+nrcan.fix_geometries(output_paths['Fixed NRCan'])
+
+# Defining a new layer for the fixed NRCan
+nrcan_fixed = \
+  ScrubLayer(qgis_path, output_paths['Fixed NRCan'], 'Fixed NRCan')
+nrcan_fixed.create_spatial_index()
+print(nrcan_fixed)
+
+# Processing the GeoIndex layer includes fixing its geometries and
+# clipping it based on the Montreal boundary data layer
+print('Processing the GeoIndex layer')
+print(geo_index)
+geo_index.create_spatial_index()
+geo_index.fix_geometries(output_paths['Fixed GeoIndex'])
+
+# Defining a new layer for the fixed GeoIndex
+geo_index_fixed = ScrubLayer(qgis_path, output_paths['Fixed GeoIndex'],
+                             'Fixed GeoIndex')
+geo_index_fixed.create_spatial_index()
+print(geo_index_fixed)
+geo_index_fixed.clip_layer(montreal_boundary.layer_path,
+                           output_paths['Clipped Fixed GeoIndex'])
+geo_index_clipped = \
+  ScrubLayer(qgis_path,
+             output_paths['Clipped Fixed GeoIndex'], 'Clipped Fixed GeoIndex')
+geo_index_clipped.create_spatial_index()
+print(geo_index_clipped)
+
+# Processing the Property Assessment layer includes a pairwise clip, and
+# two spatial join with NRCan and GeoIndex layers, respectively
+
+print(property_assessment)
+property_assessment.create_spatial_index()
+
+# For the pairwise clip, number of overlaying layers can be chosen
+# (meaning number of splits for NRCan layer). This improves the performance
+# where may increase duplicates. This has been done because using the NRCan
+# layer as a whole causes crashing the clipping process.
+
+# First we split the overlaying layers into our desired number
+nrcan_fixed.split_layer(120, output_paths['Splitted NRCans'])
+
+# Clipping have to be done in
+clipping_property_assessment = """
+from input_paths_and_layers import *
+
+property_assessment.clip_by_multiple(
+  120, output_paths['Splitted NRCans'],
+  output_paths['Pairwise Clipped Property Assessment Partitions'])"""
+
+exec(clipping_property_assessment)
+
+property_assessment.merge_layers(
+  output_paths['Pairwise Clipped Property Assessment Partitions'],
+  output_paths['Pairwise Clipped Merged Property Assessment'])
+
+clipped_property_assessment = ScrubLayer(
+  qgis_path,
+  output_paths['Pairwise Clipped Merged Property Assessment'],
+  'Clipped Property Assessment')
+
+print(clipped_property_assessment)
+clipped_property_assessment.create_spatial_index()
+
+clipped_property_assessment.spatial_join(
+  nrcan_fixed.layer_path,
+  output_paths['Property Assessment and NRCan'])
+
+property_assessment_nrcan = ScrubLayer(
+  qgis_path,
+  output_paths['Property Assessment and NRCan'],
+  'Property Assessment and NRCan')
+
+print(property_assessment_nrcan)
+property_assessment_nrcan.create_spatial_index()
+
+property_assessment_nrcan.spatial_join(
+  geo_index_clipped,
+  output_paths['Property Assessment and NRCan and GeoIndex'])
+
+property_assessment_nrcan_geo = ScrubLayer(
+  qgis_path,
+  output_paths['Property Assessment and NRCan and GeoIndex'],
+  'Property Assessment and NRCan and GeoIndex')
+
+print(property_assessment_nrcan_geo)
+property_assessment_nrcan_geo.create_spatial_index()
+
+property_assessment_nrcan_geo.delete_duplicates(
+  output_paths['Deleted Duplicates Layer'])
+
+deleted_dups_layer = ScrubLayer(
+  qgis_path,
+  output_paths['Deleted Duplicates Layer'],
+  'Deleted Duplicates Layer')
+
+print(deleted_dups_layer)
+property_assessment_nrcan_geo.create_spatial_index()
+
+property_assessment_nrcan_geo.multipart_to_singleparts(
+  output_paths['Single Parts Layer'])
+
+single_parts_layer = ScrubLayer(
+  qgis_path,
+  output_paths['Single Parts Layer'],
+  'Single Parts Layer')
+
+print(single_parts_layer)
+single_parts_layer.create_spatial_index()
+
+# Add an area field
+single_parts_layer.add_field('Area')
+single_parts_layer.assign_area('Area')
+dismissive_area = 15
+single_parts_layer.conditional_delete_record('Area', '<', dismissive_area)
+
+print(f'After removing buildings with less than {dismissive_area} squaremeter area:')
+print(single_parts_layer)
+
diff --git a/config.py b/config.py
new file mode 100644
index 0000000..ef5226f
--- /dev/null
+++ b/config.py
@@ -0,0 +1,42 @@
+"""
+input_paths_and_layers module
+Project Developer: Alireza Adli alireza.adli@concordia.ca
+"""
+
+# Application's path
+qgis_path = 'C:/Program Files/QGIS 3.34.1/apps/qgis'
+
+# Gathering input data layers paths
+input_paths = {
+  'NRCan':
+  'C:/Users/a_adli/PycharmProjects/hydroquebec_archetype_gispy/'
+  'data/input_data/nrcan/Autobuilding_QC_VILLE_MONTREAL.shp',
+  'GeoIndex':
+  'C:/Users/a_adli/PycharmProjects/hydroquebec_archetype_gispy/'
+  'data/input_data/Geoindex_81670/mamh_usage_predo_2022_s_poly.shp',
+  'Property Assessment':
+  'C:/Users/a_adli/PycharmProjects/hydroquebec_archetype_gispy/'
+  'data/input_data/property_assessment/uniteevaluationfonciere.shp',
+  'Montreal Boundary':
+  'C:/Users/a_adli/PycharmProjects/hydroquebec_archetype_gispy/'
+  'data/input_data/montreal_boundary/Montreal_boundary.shp'
+}
+
+# Defining a directory for all the output data layers
+output_paths_dir = \
+  'C:/Users/a_adli/PycharmProjects/hydroquebec_archetype_gispy/' \
+  'data/gisoo_workflow_output'
+
+# Preparing a bedding for output data layers paths
+output_paths = {
+  'Fixed NRCan': '',
+  'Fixed GeoIndex': '',
+  'Clipped Fixed GeoIndex': '',
+  'Splitted NRCans': '',
+  'Pairwise Clipped Property Assessment Partitions': '',
+  'Pairwise Clipped Merged Property Assessment': '',
+  'Property Assessment and NRCan': '',
+  'Property Assessment and NRCan and GeoIndex': '',
+  'Deleted Duplicates Layer': '',
+  'Single Parts Layer': ''
+}
diff --git a/helpers.py b/helpers.py
new file mode 100644
index 0000000..416dabd
--- /dev/null
+++ b/helpers.py
@@ -0,0 +1,75 @@
+"""
+basic_functions module
+A number of functionalities that help the project
+but cannot be a part of the PyQGIS tool.
+Project Developer: Alireza Adli alireza.adli@concordia.ca
+"""
+
+import os
+import glob
+import processing
+
+from qgis.core import QgsApplication
+from qgis.analysis import QgsNativeAlgorithms
+
+
+def find_shp_files(root_folder):
+  shp_files = []
+  # Sort folders alphabetically
+  for foldername, _, _ in sorted(os.walk(root_folder)):
+    for filename in sorted(glob.glob(os.path.join(foldername, '*.shp'))):
+      new_file_name = filename.replace('\\', r'/')
+      shp_files.append(new_file_name)
+  return shp_files
+
+
+def find_las_files(root_folder):
+  las_files = []
+  # Sort folders alphabetically
+  for foldername, _, _ in sorted(os.walk(root_folder)):
+    for filename in sorted(glob.glob(os.path.join(foldername, '*.las'))):
+      new_file_name = filename.replace('\\', r'/')
+      las_files.append(new_file_name)
+  return las_files
+
+
+def create_folders(directory, num_folders):
+  """
+  Create a specified number of folders in the given directory.
+
+  Args:
+  - directory (str): The directory where folders will be created.
+  - num_folders (int): The number of folders to create.
+  """
+  # Check if the directory exists, if not, create it
+  if not os.path.exists(directory):
+    os.makedirs(directory)
+
+  # Create folders
+  for i in range(num_folders):
+    folder_name = f"layer_{i}"
+    folder_path = os.path.join(directory, folder_name)
+    os.makedirs(folder_path)
+    print(f"Created folder: {folder_path}")
+
+
+def create_output_folders(paths_dict, output_dir):
+  for path in paths_dict.keys():
+    new_folder = path.lower().replace(' ', '_')
+    output_path = output_dir + '/' + new_folder
+    os.mkdir(output_path)
+    if path[-1] != 's':
+      paths_dict[path] = output_path + f'/{new_folder}.shp'
+    else:
+      paths_dict[path] = output_path
+
+
+def merge_las_layers(layers_path, mergeded_layer_path):
+  merging_layers = find_las_files(layers_path)
+  QgsApplication.processingRegistry().addProvider(QgsNativeAlgorithms())
+
+  params = {'LAYERS': merging_layers,
+            'CRS': None,
+            'OUTPUT': mergeded_layer_path}
+
+  processing.run("native:mergevectorlayers", params)
\ No newline at end of file
diff --git a/scrub_layer.py b/scrub_layer.py
new file mode 100644
index 0000000..087fe73
--- /dev/null
+++ b/scrub_layer.py
@@ -0,0 +1,268 @@
+"""
+scrub_layer_class module
+PyQGIS functionalities that are needed in the cleaning and updating
+Montreal Buildings dataset project, gathered in one class.
+Project Developer: Alireza Adli alireza.adli@concordia.ca
+"""
+
+from qgis.core import QgsApplication, QgsField, QgsProject, \
+  QgsProcessingFeedback, QgsVectorLayer, QgsVectorDataProvider, \
+  QgsExpressionContext, QgsExpressionContextUtils, edit, QgsFeatureRequest, \
+  QgsExpression, QgsVectorFileWriter, QgsCoordinateReferenceSystem
+from qgis.PyQt.QtCore import QVariant
+from qgis.analysis import QgsNativeAlgorithms
+from basic_functions import *
+import processing
+
+
+class ScrubLayer:
+  def __init__(self, qgis_path, layer_path, layer_name):
+
+    self.qgis_path = qgis_path
+    # Set the path to QGIS installation
+    QgsApplication.setPrefixPath(self.qgis_path, True)
+
+    self.layer_path = layer_path
+    self.layer_name = layer_name
+    self.layer = self.load_layer()
+    self.data_count = self.layer.featureCount()
+
+  def duplicate_layer(self, output_path):
+    options = QgsVectorFileWriter.SaveVectorOptions()
+    options.driverName = 'ESRI Shapefile'
+
+    duplication = QgsVectorFileWriter.writeAsVectorFormat(
+      self.layer,
+      output_path,
+      options
+    )
+
+    if duplication == QgsVectorFileWriter.NoError:
+      print(f"Shapefile successfully duplicated")
+    else:
+      print(f"Error duplicating shapefile: {duplication}")
+
+  def get_cell(self, fid, field_name):
+    return self.layer.getFeature(fid)[field_name]
+
+  def select_cells(
+          self,
+          field_name, field_value, required_field,
+          return_one_value=False):
+    """Returns the value of a field
+    based on the value of another field in the same record"""
+    expression = QgsExpression(f'{field_name} = {field_value}')
+    request = QgsFeatureRequest(expression)
+    features = self.layer.getFeatures(request)
+    field_field_values = []
+    for feature in features:
+      field_field_values.append(feature[required_field])
+      if return_one_value and field_field_values:
+        return field_field_values[0]
+    return field_field_values
+
+  def load_layer(self):
+    the_layer = QgsVectorLayer(self.layer_path, self.layer_name, 'ogr')
+    if not the_layer.isValid():
+      raise ValueError(f'Failed to load layer {self.layer_name} from {self.layer_path}')
+    else:
+      QgsProject.instance().addMapLayer(the_layer)
+    return the_layer
+
+  def features_to_layers(self, layers_dir, crs):
+    create_folders(layers_dir, self.data_count)
+    target_crs = QgsCoordinateReferenceSystem(crs)
+    for feature in self.layer.getFeatures():
+      new_layer = QgsVectorLayer(f'Polygon?crs={crs}', "feature_layer", "memory")
+      new_layer.setCrs(target_crs)
+
+      new_provider = new_layer.dataProvider()
+      new_provider.addFeatures([feature])
+
+      feature_id = feature.id()
+      output_path = f'{layers_dir}layer_{feature_id}/layer_{feature_id}.shp'
+
+      QgsVectorFileWriter.writeAsVectorFormat(
+        new_layer,
+        output_path,
+        'utf-8',
+        new_layer.crs(),
+        'ESRI Shapefile'
+      )
+    print('Shapefiles created for each feature.')
+
+  def fix_geometries(self, fixed_layer):
+    QgsApplication.processingRegistry().addProvider(QgsNativeAlgorithms())
+    fix_geometries_params = {
+      'INPUT': self.layer,
+      'METHOD': 0,
+      'OUTPUT': fixed_layer
+    }
+    processing.run("native:fixgeometries", fix_geometries_params)
+
+  def create_spatial_index(self):
+    QgsApplication.processingRegistry().addProvider(QgsNativeAlgorithms())
+    create_spatial_index_params = {
+      'INPUT': self.layer,
+      'OUTPUT': 'Output'
+    }
+    processing.run("native:createspatialindex", create_spatial_index_params)
+    print(f'Creating Spatial index for {self.layer_name} is completed.')
+
+  def spatial_join(self, joining_layer_path, joined_layer_path):
+    """In QGIS, it is called 'Join attributes by Location'"""
+    params = {'INPUT': self.layer,
+              'PREDICATE': [0],
+              'JOIN': joining_layer_path,
+              'JOIN_FIELDS': [],
+              'METHOD': 0,
+              'DISCARD_NONMATCHING': False,
+              'PREFIX': '',
+              'OUTPUT': joined_layer_path}
+
+    feedback = QgsProcessingFeedback()
+    processing.run('native:joinattributesbylocation', params, feedback=feedback)
+    print(f'Spatial Join with input layer {self.layer_name} is completed.')
+
+  def clip_layer(self, overlay_layer, clipped_layer):
+    """This must be tested"""
+    QgsApplication.processingRegistry().addProvider(QgsNativeAlgorithms())
+    clip_layer_params = {
+      'INPUT': self.layer_path,
+      'OVERLAY': overlay_layer,
+      'FILTER_EXPRESSION': '',
+      'FILTER_EXTENT': None,
+      'OUTPUT': clipped_layer
+    }
+    processing.run("native:clip", clip_layer_params)
+    print(f'Clipping of {self.layer_name} is completed.')
+
+  def clip_by_predefined_zones(self):
+    pass
+
+  def clip_by_multiple(self, number_of_partitions, overlay_layers_dir, clipped_layers_dir):
+    create_folders(clipped_layers_dir, number_of_partitions)
+    for layer in range(number_of_partitions):
+      overlay = overlay_layers_dir + f'/layer_{layer}/layer_{layer}.shp'
+      clipped = clipped_layers_dir + f'/layer_{layer}/layer_{layer}.shp'
+      self.clip_layer(overlay, clipped)
+      clipped_layer = ScrubLayer(self.qgis_path, clipped, 'Temp Layer')
+      clipped_layer.create_spatial_index()
+
+  def split_layer(self, number_of_layers, splitted_layers_dir):
+    number_of_layers -= 1
+    QgsApplication.processingRegistry().addProvider(QgsNativeAlgorithms())
+    create_folders(splitted_layers_dir, number_of_layers)
+    intervals = self.data_count // number_of_layers
+    for part in range(number_of_layers):
+      output_layer_path = \
+        splitted_layers_dir + f'/layer_{part}/layer_{part}.shp'
+      params = {'INPUT': self.layer,
+                'EXPRESSION': f'$id >= {part * intervals} '
+                              f'AND $id < {(part + 1) * intervals}\r\n',
+                'OUTPUT': output_layer_path}
+
+      processing.run("native:extractbyexpression", params)
+
+      new_layer = ScrubLayer(self.qgis_path, output_layer_path, 'Temp Layer')
+      new_layer.create_spatial_index()
+
+    # Adding a folder for the remaining features
+
+    os.makedirs(splitted_layers_dir + f'/layer_{number_of_layers}')
+    output_layer_path = splitted_layers_dir + \
+        f'/layer_{number_of_layers}/layer_{number_of_layers}.shp'
+    params = {'INPUT': self.layer,
+              'EXPRESSION': f'$id >= {number_of_layers * intervals}\r\n',
+              'OUTPUT': output_layer_path}
+
+    processing.run("native:extractbyexpression", params)
+    new_layer = ScrubLayer(self.qgis_path, output_layer_path, 'Temp Layer')
+    new_layer.create_spatial_index()
+
+  @staticmethod
+  def merge_layers(layers_path, mergeded_layer_path):
+    merging_layers = find_shp_files(layers_path)
+    QgsApplication.processingRegistry().addProvider(QgsNativeAlgorithms())
+
+    params = {'LAYERS': merging_layers,
+              'CRS': None,
+              'OUTPUT': mergeded_layer_path}
+
+    processing.run("native:mergevectorlayers", params)
+
+  def multipart_to_singleparts(self, singleparts_layer_path):
+    QgsApplication.processingRegistry().addProvider(QgsNativeAlgorithms())
+    params = {'INPUT': self.layer,
+              'OUTPUT': singleparts_layer_path}
+    processing.run("native:multiparttosingleparts", params)
+
+  def delete_duplicates(self, deleted_duplicates_layer):
+    QgsApplication.processingRegistry().addProvider(QgsNativeAlgorithms())
+    params = {'INPUT': self.layer_path,
+              'OUTPUT': deleted_duplicates_layer}
+    processing.run("native:deleteduplicategeometries", params)
+
+  def delete_field(self, field_name):
+    QgsApplication.processingRegistry().addProvider(QgsNativeAlgorithms())
+    with edit(self.layer):
+      # Get the index of the column to delete
+      idx = self.layer.fields().indexFromName(field_name)
+
+      # Delete the field
+      self.layer.deleteAttribute(idx)
+
+      # Update layer fields
+      self.layer.updateFields()
+
+  def delete_record_by_index(self, record_index):
+    self.layer.startEditing()
+
+    if self.layer.deleteFeature(record_index):
+      print(f"Feature with ID {record_index} has been successfully removed.")
+    else:
+      print(f"Failed to remove feature with ID {record_index}.")
+
+    self.layer.commitChanges()
+
+  def conditional_delete_record(self, field_name, operator, condition):
+    request = QgsFeatureRequest().setFilterExpression(
+      f'{field_name} {operator} {str(condition)}')
+    with edit(self.layer):
+      for feature in self.layer.getFeatures(request):
+        self.layer.deleteFeature(feature.id())
+    self.layer.commitChanges()
+
+  def add_field(self, new_field_name):
+    functionalities = self.layer.dataProvider().capabilities()
+
+    if functionalities & QgsVectorDataProvider.AddAttributes:
+      new_field = QgsField(new_field_name, QVariant.Double)
+      self.layer.dataProvider().addAttributes([new_field])
+      self.layer.updateFields()
+
+  def assign_area(self, field_name):
+    self.layer.startEditing()
+    idx = self.layer.fields().indexFromName(field_name)
+
+    context = QgsExpressionContext()
+    context.appendScopes(
+      QgsExpressionContextUtils.globalProjectLayerScopes(self.layer))
+
+    for feature in self.layer.getFeatures():
+      area = feature.geometry().area()
+      feature[idx] = area
+      self.layer.updateFeature(feature)
+
+    self.layer.commitChanges()
+
+  def __str__(self):
+    return f'The {self.layer_name} has {self.data_count} records.'
+
+  @staticmethod
+  def cleanup():
+    QgsApplication.exitQgis()
+
+
+
+
diff --git a/scrub_mtl.py b/scrub_mtl.py
new file mode 100644
index 0000000..9dae53c
--- /dev/null
+++ b/scrub_mtl.py
@@ -0,0 +1,130 @@
+"""
+scrub_mtl_class module
+The workflow of cleaning and updating the Montreal Buildings dataset.
+The development of this class has been stopped but the whole workflow
+can be found in a module namely handle_mtl_ds_workflow, in the same project.
+Project Developer: Alireza Adli alireza.adli@concordia.ca
+"""
+
+from scrub_layer_class import *
+from basic_functions import *
+
+
+class ScrubMTL:
+  def __init__(self, qgis_path, nrcan, geo_index, property_assessment,
+               montreal_boundary, output_paths_dir):
+    self.qgis_path = qgis_path
+    self.nrcan = self.initialize_layer(nrcan, 'NRCan')
+    self.geo_index = self.initialize_layer(geo_index, 'GeoIndex')
+    self.property_assessment = \
+        self.initialize_layer(property_assessment, 'Property Assessment')
+    self.montreal_boundary = montreal_boundary
+    self.output_paths_dir = output_paths_dir
+    self.input_paths = {
+      'NRCan': nrcan,
+      'GeoIndex': geo_index,
+      'Property Assessment': property_assessment,
+      'Montreal Boundary': montreal_boundary
+     }
+    self.output_paths = {
+      'Fixed NRCan': '',
+      'Fixed GeoIndex': '',
+      'Clipped Fixed GeoIndex': '',
+      'Splitted NRCans': '',
+      'Pairwise Clipped Property Assessment Partitions': '',
+      'Pairwise Clipped Merged Property Assessment': '',
+      'Property Assessment and NRCan': '',
+      'Property Assessment and NRCan and GeoIndex': '',
+      'Deleted Duplicates Layer': '',
+      'Singled Parts Layer': ''
+    }
+
+  @staticmethod
+  def merge_layers(layers_path, mergeded_layer_path):
+    merging_layers = find_shp_files(layers_path)
+    QgsApplication.processingRegistry().addProvider(QgsNativeAlgorithms())
+
+    params = {'LAYERS': merging_layers,
+              'CRS': None,
+              'OUTPUT': mergeded_layer_path}
+
+    processing.run("native:mergevectorlayers", params)
+
+  def generate_output_paths(self):
+    for path in self.output_paths.keys():
+      new_folder = path.lower().replace(' ', '_')
+      output_path = self.output_paths_dir + '/' + new_folder
+      os.mkdir(output_path)
+      if path[-1] != 's':
+        self.output_paths[path] = output_path + f'/{new_folder}.shp'
+      else:
+        self.output_paths[path] = output_path
+
+  def initialize_layer(self, layer_path, layer_name):
+    return ScrubLayer(self.qgis_path, layer_path, layer_name)
+
+  def process_nrcan(self):
+    print(f'Data Count of the NRCan layer: {self.nrcan.data_count}')
+    self.nrcan.create_spatial_index()
+    self.nrcan.fix_geometries(self.output_paths['Fixed NRCan'])
+    nrcan_fixed = \
+        self.initialize_layer(self.output_paths['Fixed NRCan'],
+                              'Fixed NRCan')
+    nrcan_fixed.create_spatial_index()
+    print(f'Data Count of the NRCan layer ({nrcan_fixed.layer_name}) '
+          f'after fixing geometries: {nrcan_fixed.layer.featureCount()}')
+
+  def process_geo_index(self):
+    print(f'Data Count of the GeoIndex layer: {self.geo_index.data_count}')
+    self.geo_index.create_spatial_index()
+    self.geo_index.fix_geometries(self.output_paths['Fixed GeoIndex'])
+    geo_index_fixed = \
+        self.initialize_layer(self.output_paths['Fixed GeoIndex'],
+                              'Fixed GeoIndex')
+    geo_index_fixed.create_spatial_index()
+    print(f'Data Count of the GeoIndex layer ({geo_index_fixed.layer_name}) '
+          f'after fixing geometries: {geo_index_fixed.layer.featureCount()}')
+    geo_index_fixed.clip_layer(self.montreal_boundary,
+                               self.output_paths['Clipped Fixed GeoIndex'])
+    geo_index_clipped = \
+        self.initialize_layer(self.output_paths['Clipped Fixed GeoIndex'],
+                              'Clipped Fixed GeoIndex')
+    geo_index_clipped.create_spatial_index()
+    print(f'Data Count of the {geo_index_fixed.layer_name} '
+          f'({geo_index_clipped.layer_name}) after clipping it '
+          f'based on the Montreal Boundary layer: '
+          f'{geo_index_clipped.layer.featureCount()}')
+
+  def process_property_assesment(self):
+    print(f'Data Count of the Property Assessment layer: '
+          f'{self.property_assessment.data_count}')
+    self.property_assessment.create_spatial_index()
+
+  def the_cleaning_workflow(self):
+    """It carries out all the steps to clean the dataset."""
+    self.generate_output_paths()
+    self.process_nrcan()
+    self.process_geo_index()
+    self.process_property_assesment()
+    self.property_assessment.clip_by_multiple(120,
+                                              self.output_paths['Fixed NRCan'],
+                                              self.output_paths['Splitted NRCans'],
+                                              self.output_paths
+                                              ['Pairwise Clipped Property Assessment Partitions']
+                                              )
+    prop_a = ScrubLayer(self.qgis_path, self.input_paths['Property Assessment'],
+                        'Property Aim')
+
+    prop_a.\
+        clip_by_multiple(120, 'the path',
+                         self.output_paths['Splitted NRCans'])
+
+  def refine_heights(self):
+    pass
+
+  def remove_redundant_fields(self):
+    pass
+
+  def remove_records_by_area(self, area_limitation):
+    """Area limitation can be assigned in the constructor"""
+    pass