Package index • localintel

Package Overview

localintel-package localintel: Local Intelligence for Subnational Data Analysis

Eurostat — Indicator Registry

Curated registries of Eurostat dataset codes across 14 thematic domains — 150+ indicators ready for seamless fetching and processing.

all_regional_codes(): All Regional Indicator Dataset Codes
indicator_count(): Count Available Regional Indicators
economy_codes(): Economy and Regional Accounts Dataset Codes
demography_codes(): Demography Dataset Codes
education_codes(): Education Dataset Codes
labour_codes(): Labour Market Dataset Codes
health_system_codes() causes_of_death_codes(): Eurostat Dataset Code Lists
tourism_codes(): Tourism Dataset Codes
transport_codes(): Transport Dataset Codes
environment_codes(): Environment and Energy Dataset Codes
science_codes(): Science and Technology Dataset Codes
poverty_codes(): Poverty and Social Exclusion Dataset Codes
agriculture_codes(): Agriculture Dataset Codes
business_codes(): Business Statistics Dataset Codes
information_society_codes(): Information Society Dataset Codes
crime_codes(): Crime Dataset Codes

Eurostat — Data Fetching

Robust wrappers for the Eurostat API — fetch single or batch datasets at any NUTS level with automatic retry and caching.

get_nuts2() get_nuts_level() get_nuts_level_robust() get_nuts_level_safe() fetch_eurostat_batch() drop_empty(): Eurostat Data Fetching Functions
clear_localintel_cache(): Clear Session Cache

Eurostat — Reference Data

NUTS boundary geometries, hierarchical lookup tables, and population data for spatial joins and cascading.

get_nuts2_ref() get_nuts_geo() get_nuts_geopolys() get_nuts2_names() get_population_nuts2(): NUTS Reference Data Functions
keep_eu27() eu27_codes() nuts_country_names() add_country_name(): EU27 Country Filtering and Naming Functions

Eurostat — Data Processing

Transform raw Eurostat downloads into analysis-ready tables. Use the generic processor for any dataset, or domain-specific convenience functions for common indicators.

process_eurostat(): Process Any Eurostat Dataset
process_gdp(): Process GDP Data
process_employment(): Process Employment Data
process_unemployment_rate(): Process Unemployment Rate Data
process_population(): Process Population Data
process_life_expectancy(): Process Life Expectancy Data
process_tourism_nights(): Process Tourism Nights Spent Data
process_rd_expenditure(): Process R&D Expenditure Data
process_education_attainment(): Process Education Attainment Data
process_poverty_rate(): Process Poverty Rate Data
process_waste(): Process Municipal Waste Data
process_beds() process_physicians() process_los() process_hos_days() process_disch_inp() process_disch_day() process_cod() process_health_perceptions() merge_datasets() compute_composite() transform_and_score(): Data Processing Functions

Eurostat — Data Cascading

Fill missing regional data by propagating from parent NUTS levels (NUTS 0 → NUTS 1 → NUTS 2) with source-level tracking.

cascade_to_nuts2(): Cascade Data to NUTS2 (Generic / Domain-Agnostic)
cascade_to_nuts2_and_compute() cascade_to_nuts2_light() balance_panel(): Data Cascading Functions

Eurostat — Econometric Imputation

Advanced time series imputation combining PCHIP interpolation for internal gaps with autoregressive ETS forecasting for future periods — with flag-based provenance tracking.

interp_pchip_flag(): PCHIP Interpolation with Constant Endpoints
forecast_autoregressive(): Autoregressive Forecast for Future Observations
impute_series(): Full Imputation Pipeline

Eurostat — Visualization & Mapping

Build spatial objects and render publication-ready tmap facets — automatic best-level selection per country-year.

build_display_sf() lc_build_display_sf() plot_best_by_country_level() build_multi_var_sf() level_col_for() level_cols_for(): Visualization Functions

Eurostat — Export & Labels

Export enriched GeoJSON for Tableau, multi-sheet Excel workbooks, RDS snapshots, and multi-page PDF map books. Includes label registries for all 14 domains.

export_to_geojson() export_to_excel() export_to_rds() save_maps_to_pdf() enrich_for_tableau() health_var_labels() health_pillar_mapping() cod_labels(): Export Functions
regional_var_labels(): Regional Variable Labels (All Domains)
regional_domain_mapping(): Regional Domain Mapping (All Domains)

DHS — Indicator Registry

Curated registries of DHS indicator codes across 8 thematic domains covering mortality, nutrition, health, WASH, education, HIV, gender, and wealth for Sub-Saharan Africa.

all_dhs_codes(): All DHS Indicator Codes
dhs_indicator_count(): Count Available DHS Indicators
dhs_mortality_codes(): DHS Mortality Indicator Codes
dhs_nutrition_codes(): DHS Nutrition Indicator Codes
dhs_health_codes(): DHS Health Indicator Codes
dhs_wash_codes(): DHS Water, Sanitation & Hygiene (WASH) Indicator Codes
dhs_education_codes(): DHS Education Indicator Codes
dhs_hiv_codes(): DHS HIV/AIDS Indicator Codes
dhs_gender_codes(): DHS Gender Indicator Codes
dhs_wealth_codes(): DHS Wealth and Asset Indicator Codes
dhs_var_labels(): DHS Indicator Variable Labels
dhs_domain_mapping(): DHS Indicator Domain Mapping

DHS — Data Fetching

Fetch DHS indicator data from the DHS Program API with country filtering, survey discovery, and batch downloads.

get_dhs_data(): Fetch Data from DHS Program API
get_dhs_countries(): Get DHS Countries for a Region
get_dhs_surveys(): Get Available DHS Surveys for Countries
fetch_dhs_batch(): Batch Fetch DHS Indicators

DHS — Reference Data & Geography

SSA country codes, Admin-1 reference skeletons, and GADM boundary geometries for spatial analysis and mapping.

ssa_codes(): Sub-Saharan Africa DHS Country Codes
tier1_codes(): Tier 1 DHS Country Codes
keep_ssa(): Filter to SSA Countries
get_admin1_ref(): Get Admin 1 Reference Table
get_admin0_geo(): Get Admin 0 (Country) Geometries
get_admin1_geo(): Get Admin 1 Geometries for SSA Countries
add_dhs_country_name(): Add DHS Country Name

DHS — Data Processing

Process raw DHS API responses into standardized long-format tables with region codes, harmonized names, and indicator columns.

process_dhs(): Process Raw DHS Data
process_dhs_batch(): Process a Batch of DHS Indicators

DHS — Gap-Filling

GAM-based temporal interpolation and forecasting for irregularly spaced DHS survey data. Produces smooth continuous time series with uncertainty bounds and provenance flags.

gapfill_series(): Gap-Fill a Single Region-Indicator Time Series
gapfill_indicator(): Gap-Fill All Regions for One Indicator
gapfill_all_dhs(): Gap-Fill All DHS Indicators Across SSA

DHS — Panel Assembly & Cascading

Assemble gap-filled indicators into a balanced Admin-1 panel with national-level fallback, imputation flags, and source tracking.

cascade_to_admin1(): Assemble DHS Gap-Filled Data into Admin 1 Panel
balance_dhs_panel(): Balance DHS Admin 1 Panel
dhs_pipeline(): Full DHS Pipeline: Fetch, Process, Gap-Fill, and Cascade

DHS — Visualization & Export

Build spatial objects for DHS Admin-1 data and render choropleth maps. Export Tableau-ready GeoJSON with country names and labels.

build_dhs_display_sf(): Build Display SF for DHS Admin 1 Data
build_dhs_multi_var_sf(): Build Multi-Indicator SF for DHS Data
plot_dhs_map(): Plot DHS Indicator as Choropleth Map
enrich_dhs_for_tableau(): Enrich DHS Data for Tableau Export

Utilities

Helper functions for safe transformations, min-max scaling, interpolation, filtering, and country-name enrichment.

keep_eu27() eu27_codes() nuts_country_names() add_country_name(): EU27 Country Filtering and Naming Functions
safe_log10() safe_log2() scale_0_100() rescale_minmax(): Safe Logarithm and Scaling Functions
interp_const_ends_flag() standardize_time(): Data Interpolation and Time Utilities
normalize_eurostat_cols(): Normalize Eurostat Column Names