society_prognosis

The central module containing all code dealing with processing and forecast Zensus data.

class EgonHouseholdPrognosis(**kwargs)[source]

Bases: Base

households
year
zensus_population_id
class EgonPopulationPrognosis(**kwargs)[source]

Bases: Base

population
year
zensus_population_id
class SocietyPrognosis(dependencies)[source]

Bases: Dataset

name: str = 'SocietyPrognosis'

The name of the Dataset

sources: DatasetSources = DatasetSources(tables={'map_zensus_vg250': 'boundaries.egon_map_zensus_vg250', 'zensus_population': 'society.destatis_zensus_population_per_ha', 'zensus_households': 'society.egon_destatis_zensus_household_per_ha', 'demandregio_population': 'society.egon_demandregio_population', 'demandregio_households': 'society.egon_demandregio_household'}, files={}, urls={})

The sources used by the datasets. Could be tables, files and urls

targets: DatasetTargets = DatasetTargets(tables={'population_prognosis': 'society.egon_population_prognosis', 'household_prognosis': 'society.egon_household_prognosis'}, files={})

The targets created by the datasets. Could be tables and files

version: str = '0.0.5'

The Dataset’s version. Can be anything from a simple semantic versioning string like “2.1.3”, to a more complex string, like for example “2021-01-01.schleswig-holstein.0” for OpenStreetMap data. Note that the latter encodes the Dataset’s date, region and a sequential number in case the data changes without the date or region changing, for example due to implementation changes.

create_tables()[source]

Create table to map zensus grid and administrative districts (nuts3)

household_prognosis_per_year(prognosis_nuts3, zensus, year)[source]

Calculate household prognosis for a specitic year

zensus_household()[source]

Bring household prognosis from DemandRegio to Zensus grid

zensus_population()[source]

Bring population prognosis from DemandRegio to Zensus grid