def as_dict():
"""Return metadata as a dictionary.
This is a static method. You can use it to get the metadata in
dictionary format for an impact function.
:returns: A dictionary representing all the metadata for the
concrete impact function.
:rtype: dict
"""
dict_meta = {
'id': 'AshRasterLandCoverFunction',
'name': tr('Ash raster on land cover'),
'impact': tr('Be affected'),
'title': tr('Be affected'),
'function_type': 'qgis2.0',
'author': 'Rizky Maulana Nugraha ([email protected])',
'date_implemented': '24/05/2016',
'overview': tr(
'To assess the impact of each hazard zone on land cover.'),
'detailed_description': '',
'hazard_input': tr(
'The hazard layer must be an ash raster layer.'),
'exposure_input': tr(
'Vector polygon layer where each polygon represents a type of '
'land cover.'),
'output': tr(
'A vector layer of land cover polygons with each tagged '
'according to the hazard zone in which it falls.'),
'actions': tr(
'Provide details about how big area fall within '
'each hazard zone.'),
'limitations': [],
'citations': [
{
'text': None,
'link': None
}
],
'legend_title': '',
'legend_units': '',
'legend_notes': '',
'layer_requirements': {
'hazard': {
'layer_mode': layer_mode_continuous,
'layer_geometries': [layer_geometry_raster],
'hazard_categories': [
hazard_category_single_event,
hazard_category_multiple_event
],
'hazard_types': [hazard_volcanic_ash],
'continuous_hazard_units': [unit_centimetres],
'vector_hazard_classifications': [],
'raster_hazard_classifications': [],
'additional_keywords': []
},
'exposure': {
'layer_mode': layer_mode_classified,
'layer_geometries': [layer_geometry_polygon],
'exposure_types': [exposure_land_cover],
'exposure_units': [],
'exposure_class_fields': [],
'additional_keywords': []
}
},
'parameters': OrderedDict(
[
('group_threshold', threshold_group_parameter())
])
}
return dict_meta
def as_dict():
"""Return metadata as a dictionary.
This is a static method. You can use it to get the metadata in
dictionary format for an impact function.
:returns: A dictionary representing all the metadata for the
concrete impact function.
:rtype: dict
"""
dict_meta = {
'id': 'AshRasterPlacesFunction',
'name': tr('Ash raster on places'),
'impact': tr('Be affected'),
'title': tr('Be affected'),
'function_type': 'old-style',
'author': 'Etienne Trimaille',
'date_implemented': '13/07/2016',
'overview': tr(
'To assess the impact of each hazard zone on places.'),
'detailed_description': '',
'hazard_input': tr(
'The hazard layer must be an ash raster layer.'),
'exposure_input': tr(
'Vector point layer where each feature represents a place.'),
'output': tr(
'Map of places exposed to the highest hazard zone and a table '
'with the number of people in each hazard zone'),
'actions': tr(
'Provide details about how big area fall within '
'each hazard zone.'),
'limitations': [],
'citations': [
{
'text': None,
'link': None
}
],
'legend_title': '',
'legend_units': '',
'legend_notes': '',
'layer_requirements': {
'hazard': {
'layer_mode': layer_mode_continuous,
'layer_geometries': [layer_geometry_raster],
'hazard_categories': [
hazard_category_single_event,
hazard_category_multiple_event
],
'hazard_types': [hazard_volcanic_ash],
'continuous_hazard_units': [unit_centimetres],
'vector_hazard_classifications': [],
'raster_hazard_classifications': [],
'additional_keywords': []
},
'exposure': {
'layer_mode': layer_mode_classified,
'layer_geometries': [
layer_geometry_point,
],
'exposure_types': [exposure_place],
'exposure_units': [],
'exposure_class_fields': [structure_class_field],
'additional_keywords': []
}
},
'parameters': OrderedDict(
[
('group_threshold', threshold_group_parameter())
])
}
return dict_meta
def as_dict():
"""Return metadata as a dictionary.
This is a static method. You can use it to get the metadata in
dictionary format for an impact function.
:returns: A dictionary representing all the metadata for the
concrete impact function.
:rtype: dict
"""
dict_meta = {
'id':
'AshRasterLandCoverFunction',
'name':
tr('Ash raster on land cover'),
'impact':
tr('Be affected'),
'title':
tr('Be affected'),
'function_type':
'qgis2.0',
'author':
'Rizky Maulana Nugraha ([email protected])',
'date_implemented':
'24/05/2016',
'overview':
tr('To assess the impact of each hazard zone on land cover.'),
'detailed_description':
'',
'hazard_input':
tr('The hazard layer must be an ash raster layer.'),
'exposure_input':
tr('Vector polygon layer where each polygon represents a type of '
'land cover.'),
'output':
tr('A vector layer of land cover polygons with each tagged '
'according to the hazard zone in which it falls.'),
'actions':
tr('Provide details about how big area fall within '
'each hazard zone.'),
'limitations': [],
'citations': [{
'text': None,
'link': None
}],
'legend_title':
'',
'legend_units':
'',
'legend_notes':
'',
'layer_requirements': {
'hazard': {
'layer_mode':
layer_mode_continuous,
'layer_geometries': [layer_geometry_raster],
'hazard_categories': [
hazard_category_single_event,
hazard_category_multiple_event
],
'hazard_types': [hazard_volcanic_ash],
'continuous_hazard_units': [unit_centimetres],
'vector_hazard_classifications': [],
'raster_hazard_classifications': [],
'additional_keywords': []
},
'exposure': {
'layer_mode': layer_mode_classified,
'layer_geometries': [layer_geometry_polygon],
'exposure_types': [exposure_land_cover],
'exposure_units': [],
'exposure_class_fields': [],
'additional_keywords': []
}
},
'parameters':
OrderedDict([('group_threshold', threshold_group_parameter())])
}
return dict_meta
def as_dict():
"""Return metadata as a dictionary.
This is a static method. You can use it to get the metadata in
dictionary format for an impact function.
:returns: A dictionary representing all the metadata for the
concrete impact function.
:rtype: dict
"""
dict_meta = {
'id': 'AshRasterHazardPopulationFunctionMetadata',
'name': tr('Ash raster on population'),
'impact': tr('Be affected'),
'title': tr('Be affected'),
'function_type': 'old-style',
'author': 'Ismail Sunni',
'date_implemented': '13/07/2016',
'overview': tr(
'To assess the impact of each hazard zone on population.'),
'detailed_description': '',
'hazard_input': tr(
'The hazard layer must be an ash raster layer.'),
'exposure_input': tr(
'An exposure raster layer where each cell represents the '
'population count for that cell.'),
'output': tr(
'Map of population exposed to the highest hazard zone and a '
'table with the number of population in each hazard zone'),
'actions': tr(
'Provide details about how big area fall within '
'each hazard zone.'),
'limitations': [],
'citations': [
{
'text': None,
'link': None
}
],
'legend_title': '',
'legend_units': '',
'legend_notes': '',
'map_title': tr('Affected Population'),
'layer_name': tr('Population affected'),
'layer_requirements': {
'hazard': {
'layer_mode': layer_mode_continuous,
'layer_geometries': [layer_geometry_raster],
'hazard_categories': [
hazard_category_single_event,
hazard_category_multiple_event
],
'hazard_types': [hazard_volcanic_ash],
'continuous_hazard_units': [unit_centimetres],
'vector_hazard_classifications': [],
'raster_hazard_classifications': [],
'additional_keywords': []
},
'exposure': {
'layer_mode': layer_mode_continuous,
'layer_geometries': [layer_geometry_raster],
'exposure_types': [exposure_population],
'exposure_units': [count_exposure_unit],
'exposure_class_fields': [],
'additional_keywords': []
}
},
'parameters': OrderedDict(
[
('group_threshold', threshold_group_parameter()),
('postprocessors', OrderedDict([
('Gender', default_gender_postprocessor()),
('Age', age_postprocessor()),
('MinimumNeeds', minimum_needs_selector()),
])),
('minimum needs', default_minimum_needs())
])
}
return dict_meta
def as_dict():
"""Return metadata as a dictionary.
This is a static method. You can use it to get the metadata in
dictionary format for an impact function.
:returns: A dictionary representing all the metadata for the
concrete impact function.
:rtype: dict
"""
dict_meta = {
'id':
'AshRasterPopulationFunction',
'name':
tr('Ash raster on population'),
'impact':
tr('Be affected'),
'title':
tr('Be affected'),
'function_type':
'old-style',
'author':
'Ismail Sunni',
'date_implemented':
'13/07/2016',
'overview':
tr('To assess the impact of each hazard zone on population.'),
'detailed_description':
'',
'hazard_input':
tr('The hazard layer must be an ash raster layer.'),
'exposure_input':
tr('An exposure raster layer where each cell represents the '
'population count for that cell.'),
'output':
tr('Map of population exposed to the highest hazard zone and a '
'table with the number of population in each hazard zone'),
'actions':
tr('Provide details about how big area fall within '
'each hazard zone.'),
'limitations': [],
'citations': [{
'text': None,
'link': None
}],
'legend_title':
'',
'legend_units':
'',
'legend_notes':
'',
'layer_requirements': {
'hazard': {
'layer_mode':
layer_mode_continuous,
'layer_geometries': [layer_geometry_raster],
'hazard_categories': [
hazard_category_single_event,
hazard_category_multiple_event
],
'hazard_types': [hazard_volcanic_ash],
'continuous_hazard_units': [unit_centimetres],
'vector_hazard_classifications': [],
'raster_hazard_classifications': [],
'additional_keywords': []
},
'exposure': {
'layer_mode': layer_mode_continuous,
'layer_geometries': [layer_geometry_raster],
'exposure_types': [exposure_population],
'exposure_units': [count_exposure_unit],
'exposure_class_fields': [],
'additional_keywords': []
}
},
'parameters':
OrderedDict([('group_threshold', threshold_group_parameter()),
('postprocessors',
OrderedDict([
('Gender', default_gender_postprocessor()),
('Age', age_postprocessor()),
('MinimumNeeds', minimum_needs_selector()),
])), ('minimum needs', default_minimum_needs())])
}
return dict_meta