Used in conf/functions.R to link the year data was collected to the appropriate scenario year for a data layer. A dataframe is returned with both the data year and the corresponding scenario year. The scenario year is used to join data layers with different data years for use in models.
AlignDataYears(layer_nm, layers_obj = layers)
layer_nm | name of the data layer, e.g. "le_wage_cur_base_value" |
---|---|
ayers_obj | this is the OHI layers object created in calculate_scores.R which is a list of all the data layers and other model parameters needed to calculate OHI scores. |
Returns an internally used dataframe with the layer data and the data year with the corresponding scenario year. #'
The scenario year is typically the year the OHI assessment takes place. For example, in year 2018, the scenario year is 2018. However, because there are often lags in data collection, the year associated with the data may be 2016. To make matters more complicated (*sigh*), goal models are calculated using multiple datasets which may have different lag times. This function using the information provided in conf/scenario_data_years.csv to link the data years to the appropriate scenario year.
# NOT RUN { # }