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get_ine_demog() retrieves live population, births, and
deaths totals from INE via ineapir::get_data_table(), at
whichever geographic level (municipality or province) each indicator is
actually published at.get_ine_geo() retrieves municipality/province
geometries via mapSpain, with an option to shift the Canary
Islands next to the mainland for compact national maps.list_ine_indicators() and
update_ine_data() round out data discovery and local cache
refresh.plot_ine_map() provides a highlight-region diagnostic
map; general choropleths are covered by System B’s
map_indicator() below.get_ine_births(), get_ine_births_by_age(),
get_ine_deaths(), and get_ine_population()
retrieve province-level, age/sex-disaggregated data directly from INE’s
Tempus3 API, following the Spanish subnational Human Mortality Database
(SHMD) protocol. get_ine_births_by_age() retrieves
single-year age-of-mother birth counts, the input the fertility schedule
functions below need.compute_exposure(), compute_death_rates(),
and build_life_table()/ build_life_tables()
implement exposure-to-risk, central death rate (1x1, 5x1,
age-standardised), and single-year period life table construction per
HMD Methods Protocol V6 (Andreev-Kingkade a0 at age 0, Kannisto old-age
smoothing).build_abridged_life_table()/build_abridged_life_tables()
build standard abridged (5-year age group) period life tables directly
from the 5x1 central death rates, complementing the single-year tables
above - useful for comparing against other agencies’ published abridged
tables.download_ine_data() runs any subset of the pipeline and
writes results to CSV and/or HMD-format .txt files for use
outside R.validate_*() family
(validate_population(), validate_births(),
validate_births_by_age(), validate_deaths(),
validate_deaths_age(), validate_exposure(),
validate_death_rates(), validate_life_table(),
validate_abridged_life_table()) flags data-quality issues
(suppressed cells, non-monotonic life tables, implausible exposure)
without failing hard.age_dependency_ratio(), aging_index(), and
sex_ratio() compute population-structure indicators from
age-disaggregated province data.crude_birth_rate(), crude_death_rate(),
general_fertility_rate(),
infant_mortality_rate(), and
rate_of_natural_increase() compute CBR, CDR, GFR, IMR, and
RNI.age_specific_fertility_rate(),
total_fertility_rate(),
mean_age_at_childbearing(),
gross_reproduction_rate(), and
net_reproduction_rate() build the full age-specific
fertility schedule (ASFR/TFR/MAC/GRR/NRR) from age-of-mother birth
counts - a true total fertility rate, which
crude_birth_rate()/ general_fertility_rate()
cannot compute on their own.birth_death_ratio() computes births per death directly
from System A’s totals, needing no age breakdown.life_expectancy_summary() and
life_expectancy() extract e0/e65 from a period life
table.decompose_life_expectancy() attributes a difference in
life expectancy at birth between two life tables (two provinces, or one
province across two years) to age-specific contributions, via Arriaga’s
(1984, exact) and Pollard’s (1988, approximate) methods.plot_population_pyramid() and
plot_demog_trend() provide population pyramid and generic
indicator time-series charts.map_indicator() provides a general-purpose choropleth
(binned or continuous) for any geography-keyed tibble;
map_life_expectancy() is a thin wrapper bridging the
mortality pipeline’s life tables onto province geometry.plot_lexis_diagram() draws an age x year mortality
surface with birth-cohort diagonals.vignette("inedemogR-tutorial") is a single
comprehensive tutorial covering data retrieval/cleaning/storage (Part I)
and demographic analysis/visualization (Part II), with the exact
formulas implemented in code and worked examples reproducing the scripts
in examples/.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.