Package {inkaR}

Title:	Download and Analyze Spatial Development Data from 'INKAR'
Version:	0.7.0
Description:	A professional R interface to download and analyze spatial development indicators from the 'BBSR' 'INKAR' (Indicators and Maps for Spatial and Urban Development) database. Features a bilingual interactive wizard, fuzzy and normalized indicator search, multi-indicator downloads with automatic tidy merging (long/wide), guaranteed consistent output schema, robust disk caching with automatic retry, and 'ggplot2' themes for regional mapping. Map boundaries come from 'Eurostat' 'GISCO' https://ec.europa.eu/eurostat/web/gisco and match the territorial status used by 'INKAR'.
URL:	https://github.com/ofurkancoban/inkaR, https://ofurkancoban.github.io/inkaR/
BugReports:	https://github.com/ofurkancoban/inkaR/issues
License:	MIT + file LICENSE
Encoding:	UTF-8
Language:	en-US
LazyData:	true
RoxygenNote:	7.3.3
Imports:	httr2, jsonlite, tibble, dplyr, rlang, utils, cli, tidyr
Suggests:	callr, stringdist, testthat (≥ 3.0.0), withr, knitr, rmarkdown, sf, ggplot2, httptest2, pkgdown
VignetteBuilder:	knitr
Depends:	R (≥ 4.1.0)
Config/testthat/edition:	3
NeedsCompilation:	no
Packaged:	2026-10-30 13:26:04 UTC; ofurkancoban
Author:	Omer Furkan Coban [aut, cre]
Maintainer:	Omer Furkan Coban <oemer.furkan.coban@uni-oldenburg.de>
Repository:	CRAN
Date/Publication:	2026-10-30 15:30:07 UTC

inkaR: Access the INKAR Database of the BBSR

Description

The inkaR package provides a user-friendly interface to access, search, and download statistical indicators from the INKAR (Indikatoren und Karten zur Raum- und Stadtentwicklung) database provided by the Federal Institute for Research on Building, Urban Affairs and Spatial Development (BBSR).

Main Functions

• view_indicators(): Opens the list of available indicators in a viewer. Supports German ("de") and English ("en") modes. Sorted by active status.

• get_inkar_data(): API wrapper to fetch data for a specific indicator. Supports auto-saving to CSV (csv = TRUE).

• get_geographies(): Helper to list available spatial levels (e.g., Kreise, Gemeinden) or regions within a level.

• search_indicators(): Search for indicators by text pattern.

Usage Workflow

1. Explore: Use view_indicators() to find the Shortname (e.g., "001") or M_ID of the desired indicator.

2. Download: Use get_inkar_data("001", level="KRE", year=2021) or ranges (year=2010:2020) to fetch the data.

3. Export: Add csv = TRUE to get_inkar_data to save the result immediately.

Author(s)

Maintainer: Omer Furkan Coban oemer.furkan.coban@uni-oldenburg.de (ORCID)

See Also

Useful links:

• https://github.com/ofurkancoban/inkaR

• https://ofurkancoban.github.io/inkaR/

• Report bugs at https://github.com/ofurkancoban/inkaR/issues

Examples

if (interactive()) {
  # 1. View available indicators (German)
  view_indicators()

  # 2. View in English
  view_indicators("en")
}


  # 3. Search for "GDP" (Bruttoinlandsprodukt)
  try(search_indicators("GDP", lang = "en"))

  # 4. Download data for GDP (011) for Districts (KRE)
  #    Note: You can use Shortnames ("011"), numeric M_IDs (11), or simple codes ("bip")
  try(data <- get_inkar_data("011", level = "KRE", year = 2021, lang = "de", csv = FALSE))

  # 5. Download and save directly as CSV
  try(get_inkar_data("011", csv = TRUE, export_dir = tempdir()))

  # 6. Download data for a year range
  try(get_inkar_data("011", level = "KRE", year = 2010:2020))

Clear INKAR Cache

Description

Clears the persistent disk cache used for API responses (like time reference metadata).

Usage

clear_inkar_cache()

Value

No return value, called for side effects.

Filter Downloaded Data to Specific Districts

Description

A specialized wrapper around compare_regions() to filter a data frame returned by get_inkar_data() to rows matching specific district names or IDs (Kennziffer).

Usage

compare_districts(data, districts, exact = FALSE)

compare_district(data, districts, exact = FALSE)

Arguments

Value

A filtered tibble.

Examples

  df <- try(get_inkar_data("011", level = "KRE", year = 2021, lang = "en"))
  if (is.data.frame(df) && nrow(df) > 0) compare_districts(df, c("Berlin", "Hamburg"))

Filter Downloaded Data to Specific Regions

Description

Filters a data frame returned by get_inkar_data() to rows matching the supplied region names (partial, case-insensitive match by default).

Usage

compare_regions(data, regions, exact = FALSE)

compare_region(data, regions, exact = FALSE)

Arguments

Value

A filtered tibble.

Examples

  df <- try(get_inkar_data("011", level = "KRE", year = 2021, lang = "en"))
  if (is.data.frame(df) && nrow(df) > 0) compare_regions(df, c("Berlin", "Hamburg"))

Get Available Geographies or Region List

Description

Retrieves a list of available spatial levels (if geography is NULL) or a list of regions for a specific level (e.g., "KRE").

Usage

get_geographies(geography = NULL)

Arguments

Value

A data frame with ID and Name.

List Available Indicators

Description

Returns a data frame of available indicators with bilingual support.

Usage

get_indicators(lang = c("de", "en"))

Arguments

Value

A tibble containing indicator IDs, names, and descriptions.

Download Data from INKAR

Description

Retrieves statistical data for a given variable and spatial level. Automatically handles time reference lookup.

Usage

get_inkar_data(
  variable,
  level = "KRE",
  year = NULL,
  lang = c("de", "en"),
  format = c("long", "wide"),
  digits = NULL,
  csv = FALSE,
  export_dir = NULL
)

Arguments

Value

A tibble containing the data.

Get Administrative Boundaries Matching INKAR

Description

Returns sf polygons for a spatial level with a Kennziffer column in the same format as get_inkar_data(), so the two can be joined directly. Boundaries come from Eurostat GISCO LAU (Gemeinden), whose territorial status matches INKAR. Higher levels are built by dissolving the Gemeinden; Gemeindeverbaende use the Destatis Gemeindeverzeichnis to assign each Gemeinde to its Verband.

Usage

get_inkar_geometry(
  level = c("KRE", "BND", "BLD", "GVB", "GEM"),
  refresh = FALSE
)

Arguments

Details

The GISCO file (about 43 MB) is downloaded once and the German polygons are cached. In interactive sessions the cache persists across sessions; see clear_inkar_cache().

Source: (c) EuroGeographics for the administrative boundaries. Please keep this attribution in published maps.

Value

An sf object (CRS ETRS89-LAEA, EPSG:3035) with columns Kennziffer and geometry (plus name for "GEM").

Examples

# Downloads about 43 MB on first use, so it only runs interactively
if (interactive() && requireNamespace("sf", quietly = TRUE)) {
  kreise <- get_inkar_geometry("KRE")
}

List Available Indicator Themes

Description

Returns the unique theme/domain values present in the local indicators dataset. Pass one of these values to the theme argument of search_indicators() or view_indicators() to narrow results.

Usage

get_themes()

Value

A sorted character vector of theme names.

Examples

get_themes()

INKAR Indicators Metadata

Description

A comprehensive list of available indicators from the INKAR database. This dataset is used to lookup indicator IDs, names, and descriptions.

Usage

indicators

Format

A data frame with the following columns:

ID

Short identifier from the INKAR indicator overview (e.g., "q_alo"), or the M_ID as text where INKAR publishes none

M_ID

Numeric key the INKAR API expects (the wizard "Gruppe")

IndID

Official INKAR indicator number from the indicator overview. It differs from M_ID for most indicators (e.g. 1101 vs 12) and is accepted by get_inkar_data() as well

Name_DE

German name of the indicator

Short_DE

Official German short name (e.g. "Arbeitslosenquote")

Name_EN

English name (translated or placeholder)

Description_DE

Detailed German description

Description_EN

Detailed English description (missing for about a quarter of the indicators)

Theme

Topic area of the INKAR wizard in German (e.g. "Arbeitslosigkeit"); see get_themes()

Active

Logical. TRUE if the indicator is offered by the INKAR API. FALSE marks discontinued indicators kept for backward compatibility

Algorithmus

Algorithm used (if any)

Anmerkungen

Notes in German

Anmerkungen_EN

Notes in English

Gemeinden

Availability for Municipalities

Kreise

Availability for Districts

Statistische Grundlagen

Statistical basis (DE)

Stat_Grund_EN

Statistical basis (EN)

Unit_DE

Unit of measurement (DE)

Unit_EN

Unit of measurement (EN)

Source

https://www.inkar.de/

Download Data from INKAR (Interactive Alias)

Description

A full-featured alias for get_inkar_data() with bilingual support and an interactive wizard when called without arguments (in interactive sessions). Call inkaR("011") to download directly, or inkaR() to open the wizard.

Usage

inkaR(
  variable = NULL,
  level = NULL,
  year = NULL,
  lang = c("de", "en"),
  digits = NULL,
  ...
)

Arguments

Details

For a simpler English-first shortcut, see inkar().

Value

A tibble containing the downloaded data, or NULL if selection was cancelled.

Examples

if (interactive()) {
  df <- inkaR()  # opens interactive menu
}


  try(df <- inkaR("bip", level = "KRE", year = 2021))
  try(df <- inkaR("Bruttoinlandsprodukt", level = "KRE"))

Download INKAR Data (English Shortcut)

Description

A convenience wrapper around get_inkar_data() with English output and year = "latest" as defaults. Equivalent to calling get_inkar_data(variable, level, year = "latest", lang = "en").

Usage

inkar(
  variable,
  level = "KRE",
  year = "latest",
  lang = "en",
  digits = NULL,
  ...
)

Arguments

Value

A tibble with English column names.

Examples

  try(df <- inkar("011", level = "KRE"))
  try(df <- inkar("011", level = "KRE", year = 2019:2021))

Plot Time Series Trends for INKAR Indicators

Description

Creates a ggplot2 line chart showing how indicator values change over time for selected regions. Input must be a long-format data frame from get_inkar_data().

Usage

inkar_trends(data, regions = NULL, title = NULL, mode = c("light", "dark"))

Arguments

Value

A ggplot2 object.

Examples

  df <- try(get_inkar_data("011", level = "KRE", lang = "en"))
  if (is.data.frame(df) && nrow(df) > 0) {
    inkar_trends(df, regions = c("Berlin", "Hamburg", "München"))
  }

Plot INKAR Data on German Maps

Description

Automatically projects regional INKAR data onto administrative boundaries of Germany. Supports Bund (BND), Bundeslaender (BLD), Kreise (KRE), Gemeindeverbaende (GVB) and Gemeinden (GEM). Boundaries come from Eurostat GISCO with the same territorial status as INKAR (see get_inkar_geometry()); they are downloaded once and cached. Alternatively, a custom sf geometry can be provided, for example for Raumordnungsregionen (ROR).

Usage

plot_inkar(
  data,
  variable = NULL,
  year = NULL,
  mode = c("light", "dark"),
  highlight = NULL,
  breaks = c("equal", "quantile"),
  title = NULL,
  geom = NULL
)

Arguments

Value

A ggplot2 object displaying the mapped data.

Search Indicators and Print Results

Description

Search for indicators by keyword. Prints a formatted table and invisibly returns the matches so you can copy the ID for use in inkaR().

Usage

search_indicators(pattern, lang = c("de", "en"), theme = NULL)

Arguments

Value

A filtered tibble of indicators (invisibly).

Interactively Select an Indicator

Description

Opens a GUI selection list (e.g., in RStudio) to browse and pick an indicator. For code-based workflows, use inkaR("name") or search_indicators() instead.

Usage

select_indicator(pattern = NULL, lang = c("de", "en"))

Arguments

Value

Character. The selected indicator ID, or NULL if cancelled.

Interactively Select a Spatial Level

Description

Provides an interactive console menu to choose an INKAR spatial level. If a variable ID is provided, it probes the live API to find which levels actually have data for that indicator.

Usage

select_level(variable = NULL)

Arguments

Value

Character. The selected level ID, e.g., "KRE".

Interactively Select Years

Description

Probes the API for available years for a specific indicator and level, then allows the user to select one or more years.

Usage

select_years(variable, level)

Arguments

Value

Character vector of years.

Premium ggplot2 theme for inkaR

Description

Premium ggplot2 theme for inkaR

Usage

theme_inkaR(mode = c("light", "dark"), base_size = 11)

Arguments

Refresh Local Indicators Metadata

Description

Checks the INKAR API for indicators that are not in the local indicators dataset. The check is informational only; install a newer package version to add them to the local metadata. New indicators can still be downloaded by their numeric M_ID with get_inkar_data().

Usage

update_indicators(lang = c("de", "en"))

Arguments

Value

Invisibly returns the local indicators tibble. Indicators the API offers but the local metadata lacks are attached as attribute "new_indicators" (M_ID, Name, Bereich); active local indicators the API no longer offers as "removed_indicators".

View Indicators in RStudio Viewer

Description

Opens the available indicators in the RStudio data viewer for easy filtering and searching.

Usage

view_indicators(lang = c("de", "en"), theme = NULL)

Arguments

Value

Invokes View() on the data frame.