def __init__(self):
model.InVESTModel.__init__(self,
label=u'Coastal Blue Carbon Preprocessor',
target=preprocessor.execute,
validator=preprocessor.validate,
localdoc=u'coastal_blue_carbon.html')
self.lulc_lookup_uri = inputs.File(
args_key=u'lulc_lookup_uri',
helptext=(u"A CSV table used to map lulc classes to their values "
u"in a raster, as well as to indicate whether or not "
u"the lulc class is a coastal blue carbon habitat."),
label=u'LULC Lookup Table (CSV)',
validator=self.validator)
self.add_input(self.lulc_lookup_uri)
self.lulc_snapshot_list = inputs.Multi(
args_key=u'lulc_snapshot_list',
callable_=functools.partial(inputs.File, label="Input"),
label=u'Land Use/Land Cover Rasters (GDAL-supported)',
link_text=u'Add Another')
self.add_input(self.lulc_snapshot_list)
def __init__(self):
model.InVESTModel.__init__(
self,
label='Habitat Risk Assessment Preprocessor',
target=hra_preprocessor.execute,
validator=hra_preprocessor.validate,
localdoc='../documentation/habitat_risk_assessment.html')
self.habs_dir = inputs.File(
args_key='habitats_dir',
helptext=(
"Checking this box indicates that habitats should be "
"used as a base for overlap with provided stressors. "
"If checked, the path to the habitat layers folder "
"must be provided."),
hideable=True,
label='Calculate Risk to Habitats?',
validator=self.validator)
self.add_input(self.habs_dir)
self.species_dir = inputs.File(
args_key='species_dir',
helptext=(
"Checking this box indicates that species should be "
"used as a base for overlap with provided stressors. "
"If checked, the path to the species layers folder "
"must be provided."),
hideable=True,
label='Calculate Risk to Species?',
validator=self.validator)
self.add_input(self.species_dir)
self.stressor_dir = inputs.Folder(
args_key='stressors_dir',
helptext='This is the path to the stressors layers folder.',
label='Stressors Layers Folder',
validator=self.validator)
self.add_input(self.stressor_dir)
self.cur_lulc_box = inputs.Container(
expandable=False,
label='Criteria')
self.add_input(self.cur_lulc_box)
self.help_label = inputs.Label(
text=(
"(Choose at least 1 criteria for each category below, "
"and at least 4 total.)"))
self.exp_crit = inputs.Multi(
args_key='exposure_crits',
callable_=functools.partial(inputs.Text, label="Input Criteria"),
label='Exposure',
link_text='Add Another')
self.cur_lulc_box.add_input(self.exp_crit)
self.sens_crit = inputs.Multi(
args_key='sensitivity_crits',
callable_=functools.partial(inputs.Text, label="Input Criteria"),
label='Consequence: Sensitivity',
link_text='Add Another')
self.cur_lulc_box.add_input(self.sens_crit)
self.res_crit = inputs.Multi(
args_key='resilience_crits',
callable_=functools.partial(inputs.Text, label="Input Criteria"),
label='Consequence: Resilience',
link_text='Add Another')
self.cur_lulc_box.add_input(self.res_crit)
self.crit_dir = inputs.File(
args_key='criteria_dir',
helptext=(
"Checking this box indicates that model should use "
"criteria from provided shapefiles. Each shapefile in "
"the folder directories will need to contain a "
"'Rating' attribute to be used for calculations in the "
"HRA model. Refer to the HRA User's Guide for "
"information about the MANDATORY layout of the "
"shapefile directories."),
hideable=True,
label='Use Spatially Explicit Risk Score in Shapefiles',
validator=self.validator)
self.add_input(self.crit_dir)
def __init__(self):
model.InVESTModel.__init__(
self,
label='Coastal Blue Carbon',
target=coastal_blue_carbon.execute,
validator=coastal_blue_carbon.validate,
localdoc='coastal_blue_carbon.html')
self.lulc_lookup_uri = inputs.File(
args_key='lulc_lookup_uri',
helptext=(
"A CSV table used to map lulc classes to their values "
"in a raster and to indicate whether or not the lulc "
"class is a coastal blue carbon habitat."),
label='LULC Lookup Table (CSV)',
validator=self.validator)
self.add_input(self.lulc_lookup_uri)
self.lulc_transition_matrix_uri = inputs.File(
args_key='lulc_transition_matrix_uri',
helptext=(
"Generated by the preprocessor. This file must be "
"edited before it can be used by the main model. The "
"left-most column represents the source lulc class, "
"and the top row represents the destination lulc "
"class."),
label='LULC Transition Effect of Carbon Table (CSV)',
validator=self.validator)
self.add_input(self.lulc_transition_matrix_uri)
self.carbon_pool_initial_uri = inputs.File(
args_key='carbon_pool_initial_uri',
helptext=(
"The provided CSV table contains information related "
"to the initial conditions of the carbon stock within "
"each of the three pools of a habitat. Biomass "
"includes carbon stored above and below ground. All "
"non-coastal blue carbon habitat lulc classes are "
"assumed to contain no carbon. The values for "
"‘biomass’, ‘soil’, and ‘litter’ should be given in "
"terms of Megatonnes CO2e/ha."),
label='Carbon Pool Initial Variables Table (CSV)',
validator=self.validator)
self.add_input(self.carbon_pool_initial_uri)
self.carbon_pool_transient_uri = inputs.File(
args_key='carbon_pool_transient_uri',
helptext=(
"The provided CSV table contains information related "
"to the transition of carbon into and out of coastal "
"blue carbon pools. All non-coastal blue carbon "
"habitat lulc classes are assumed to neither sequester "
"nor emit carbon as a result of change. The "
"‘yearly_accumulation’ values should be given in terms "
"of Megatonnes of CO2e/ha-yr. The ‘half-life’ values "
"must be given in terms of years. The ‘disturbance’ "
"values must be given as a decimal percentage of stock "
"distrubed given a transition occurs away from a lulc- "
"class."),
label='Carbon Pool Transient Variables Table (CSV)',
validator=self.validator)
self.add_input(self.carbon_pool_transient_uri)
self.lulc_baseline_map_uri = inputs.File(
args_key='lulc_baseline_map_uri',
helptext=(
"A GDAL-supported raster representing the baseline "
"landscape/seascape."),
label='Baseline LULC Raster (GDAL-supported)',
validator=self.validator)
self.add_input(self.lulc_baseline_map_uri)
self.lulc_baseline_year = inputs.Text(
args_key='lulc_baseline_year',
label='Year of baseline LULC raster',
validator=self.validator)
self.add_input(self.lulc_baseline_year)
self.lulc_transition_maps_list = inputs.Multi(
args_key='lulc_transition_maps_list',
callable_=functools.partial(inputs.File, label="Input"),
label='LULC Transition ("Snapshot") Rasters (GDAL-supported)',
link_text='Add Another')
self.add_input(self.lulc_transition_maps_list)
self.lulc_transition_years_list = inputs.Multi(
args_key='lulc_transition_years_list',
callable_=functools.partial(inputs.Text, label="Input"),
label='LULC Transition ("Snapshot") Years',
link_text='Add Another')
self.add_input(self.lulc_transition_years_list)
self.analysis_year = inputs.Text(
args_key='analysis_year',
helptext=(
"An analysis year extends the transient analysis "
"beyond the transition years."),
label='Analysis Year (Optional)',
validator=self.validator)
self.add_input(self.analysis_year)
self.do_economic_analysis = inputs.Container(
args_key='do_economic_analysis',
expandable=True,
expanded=True,
label='Calculate Net Present Value of Sequestered Carbon')
self.add_input(self.do_economic_analysis)
self.do_price_table = inputs.Checkbox(
args_key='do_price_table',
helptext='',
label='Use Price Table')
self.do_economic_analysis.add_input(self.do_price_table)
self.price = inputs.Text(
args_key='price',
helptext='The price per Megatonne CO2e at the base year.',
label='Price',
validator=self.validator)
self.do_economic_analysis.add_input(self.price)
self.inflation_rate = inputs.Text(
args_key='inflation_rate',
helptext="Annual change in the price per unit of carbon",
label='Interest Rate (%)',
validator=self.validator)
self.do_economic_analysis.add_input(self.inflation_rate)
self.price_table_uri = inputs.File(
args_key='price_table_uri',
helptext=(
"Can be used in place of price and interest rate "
"inputs. The provided CSV table contains the price "
"per Megatonne CO2e sequestered for a given year, for "
"all years from the original snapshot to the analysis "
"year, if provided."),
interactive=False,
label='Price Table (CSV)',
validator=self.validator)
self.do_economic_analysis.add_input(self.price_table_uri)
self.discount_rate = inputs.Text(
args_key='discount_rate',
helptext=(
"The discount rate on future valuations of "
"sequestered carbon, compounded yearly."),
label='Discount Rate (%)',
validator=self.validator)
self.do_economic_analysis.add_input(self.discount_rate)
# Set interactivity, requirement as input sufficiency changes
self.do_price_table.sufficiency_changed.connect(
self._price_table_sufficiency_changed)