#######################
Maps & Geospatial Data
#######################
The extension contains different maps and geospatial data. All data is stored inside the extension directory under data/geojson in GeoJSON format within coordinate reference system EPSG:4326 (CRS). Geometries are encoded as polygons, each file has different identifiers for these polygons.

.. list-table::
   :header-rows: 1

   * - Name
     - Description
     - File & Identifiers
   * - [World] All Countries
     - 245 countries of the world
     - data/geojson/world/WORLD.geojson
        - ID: AD, AE, AF, AI, [...]
        - ISO3166-1-Alpha-3: AND, ARE, AFG, AIA, [...]
        - ISO3166-1-numeric: 020 784, 003, 660, [...]
        - ISO3166-1-Alpha-2: AD, AE, AF, AI,, [...]
        - Official Name: Andorra, United Arab Emirates, Afghanistan, Anguilla, [...]
        - Region Name: Europe, Asia, Americas, Oceania, [...]
        - Sub-region Name: Sourthern Europe, Western Asia, Southern Asia, Latin America and the Caribbean, [...]
        - Capital: Andorra la Vella, Abu Dhabi, Kabul, The Valley, [...]
        - Continent: EU, AS, NA, [...]
        - TLD: .ad, .ae, .af, .ai, [...]
   * - [Germany] Postal Code 1-digit
     - 10 regions of germany identified by 1-digit post code
     - data/geojson/germany/PLZ_1.geojson
        - PLZ: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9
   * - [Germany] Postal Code 2-digit
     - 95 regions of germany identified by 2-digit post code
     - data/geojson/germany/PLZ_2.geojson
        - PLZ: 01-99 (except 05, 11, 43, 62)
   * - [Germany] Postal Code 3-digit
     - 671 regions of germany identified by 3-digit post code
     - data/geojson/germany/PLZ_3.geojson
        - PLZ: 010 - 999
   * - [Germany] Postal Code 4-digit
     - 3.119 regions of germany identified by 4-digit post code
     - data/geojson/germany/PLZ_4.geojson
        - PLZ: 0106, 0109, 0110, 0112 - 9999
   * - [Germany] Postal Code 5-digit
     - 8.170 regions of germany identified by 5-digit post code
     - data/geojson/germany/PLZ_5.geojson
        - PLZ: 01067, 01069, 01099 - 99998
   * - [Germany] Federal States (NUTS1)
     - 16 federal states of germany (Nomenclature des unités territoriales statistiques) with multiple identifiers
     - data/geojson/germany/2500_NUTS1.geojson
        - NUTS_LEVEL: 1
        - NUTS_CODE: DE1, DE2, DE3, DE4, DE5 - DE9, DEA, DEB, DEC, DED, DE, DEF, DEG
        - NUTS_NAME: Baden-Württemberg, Bayern, Berlin, Brandenburg, Bremen, Hamburg, Hessen, Mecklenburg-Vorpommern, Niedersachsen, Rheinland-Pfalz, Saarland, Sachsen, Sachsen-Anhalt, Schleswig-Holstein, Thüringen
   * - [Germany] NUTS2
     - 38 regions of germany (Nomenclature des unités territoriales statistiques) with multiple identifiers
     - data/geojson/germany/2500_NUTS2.geojson
        - NUTS_LEVEL: 2
        - NUTS_CODE: DE11 - DE14, DE21 - DE27, DE30, DE40, DE60, DE60, DE71 - DE73, DE80, DE91 - DE94, DEA1 - DEA5, DEB1 - DEB3, DEC0, DED2, DED4, DED5, DEE0, DEF0, DEG0
        - NUTS_NAME: Arnsberg, Berlin, Brandenburg, Braunschweig, Bremen, Chemnitz, Darmstadt, Detmold, Dresden, Düsseldorf, Freiburg, Gießen, Hamburg, Hannover, Karlsruhe, Kassel, Koblenz, Köln, Leipzig, Lüneburg, Mecklenburg-Vorpommern, Mittelfranken, Münstrer, Niederbayern, Oberbayern, Oberfranken, Oberpfalz, Rheinhessen-Pfalz, Saarland, Sachsen-Anhalt, Schleswig-Holstein, Schwaben, Stuttgart, Thüringen, Trier, Tübingen, Unterfranken, Weser-Ems
   * - [Germany] NUTS3
     - 401 regions of germany (Nomenclature des unités territoriales statistiques) with multiple identifiers
     - data/geojson/germany/2500_NUTS3.geojson
        - NUTS_LEVEL: 3
        - NUTS_CODE: DE111, DE112, DE113, DE115 - DE119, DE11A, DE11B, DE11C, DE11D, DE121 - DE129, DE12A, DE12B, DE12C, DE131 - DE139, DE13A, DE141 - DE149, DE211 - DE219, DE21A - DE21N, DE221 - DE229, DE22A - DE22C, DE231 - DE239, DE23A, DE241 - DE249, DE24A - DE24D, [...]
        - NUTS_NAME: Ahrweiler, Aichach-Friedberg, Alb-Donau-Kreis, Altenburger Land, Altenkirchen (Westerwald), Altmarkkreis Salzwedel, Altötting, Alzey-Worm, "Amberg, Kreisfreie Stadt", Amberg-Sulzbach, Ammerland, Anhalt-Bitterfled, "Ansbach, Kreisfreie Stadt", "Ansbach, Landkreis", "Aschaffenburg, Kreisfreie Stadt", "Aschaffenburg, Landkreis", "Augsburg, Kreisfreie Stadt", "Augsburg, Landkreis", Aurich, Bad Dürkheim, Bad Kissingen, Bad Kreuznach, [...]
   * - [Germany] Government Districts
     - 20 government districts of germany with multiple identifiers
     - data/geojson/germany/VG250_RBZ.geojson
        - ADE: 3
        - GF: 2, 4
        - BSG: 1
        - ARS: 051, 053, 055, 057, 059, 064, 065, 066, 081, 082, 083, 084, 091, 092, 093, 094, 095, 096, 097
        - AGS: 051, 053, 055, 057, 059, 064, 065, 066, 081, 082, 083, 084, 091, 092, 093, 094, 095, 096, 097
        - SDV_ARS: 051110000000, 053150000000, 055150000000, 057660020020, 059580004004, 064110000000, 065310005005, 066110000000, 081110000000, 082120000000, 083110000000, 084160041041, 091620000000, 092610000000, 093620000000, 094620000000, 095610000000, 096630000000, 097610000000
        - GEN: Arnsberg, Darmstadt, Detmold, Düsseldorf, Freiburg, Gießen, Karlsruhe, Kassel, Köln, Mittelfranken, Münster, Niederbayern, Oberbayern, Oberfranken, Oberpfalz, Schwaben, Stuttgart, Tübingen, Unterfranken
        - BEZ: Regierungsbezirk
        - IBZ: 30
        - BEM: --
        - NBD: ja
        - SN_L: 05, 06, 08, 09
        - SN_R: 1, 2, 3, 4, 5, 6, 7, 9
        - SN_K: 00
        - SN_V1: 00
        - SN_V2: 00
        - SN_G: 000
        - FK_S3: R
        - NUTS: DE11, DE12, DE13, DE14, DE21, DE22, DE23, DE24, DE25, DE26, DE27, DE71, DE72, DE73, DEA1, DEA2, DEA3, DEA4, DEA5
        - ARS_0: 051000000000, 053000000000, 055000000000, 057000000000, 059000000000, 064000000000, 065000000000, 066000000000, 081000000000, 082000000000, 083000000000, 084000000000, 091000000000, 092000000000, 093000000000, 094000000000, 095000000000, 096000000000, 097000000000
        - AGS_0: 05100000, 05300000, 05500000, 05700000, 05900000, 06400000, 06500000, 06600000, 08100000, 08200000, 08300000, 08400000, 09100000, 09200000, 09300000, 09400000, 09500000, 09600000, 09700000
        - WSK: 1973-01-01, 1975-01-01, 1983-06-21, 1997-01-01, 1998-04-01, 2004-12-31, 2009-01-01, 2009-11-01, 2011-07-01, 2015-01-01, 2017-03-13, 2017-07-01
        - DEBKG_ID: DEBKGDL20000DZXT, DEBKGDL20000E0QO, DEBKGDL20000E3LX, DEBKGDL20000E3WA, DEBKGDL20000E3WC, DEBKGDL20000E3WH, DEBKGDL20000E44I, DEBKGDL20000E44O, DEBKGDL20000E5W7, DEBKGDL20000E5Z4, DEBKGDL20000E5ZV, DEBKGDL20000E65Q, DEBKGDL20000E676, DEBKGDL20000E6GA, DEBKGDL20000E6HW, DEBKGDL20000E6PY, DEBKGDL20000E6X5, DEBKGDL20000E6Z2, DEBKGDL20000E6ZN, DEBKGDL20000JP20
        - RS: 051, 053, 055, 057, 059, 064, 065, 066, 081, 082, 083, 084, 091, 092, 093, 094, 095, 096, 097
        - SDV_RS: 051110000000, 053150000000, 055150000000, 057660020020, 059580004004, 064110000000, 065310005005, 066110000000, 081110000000, 082120000000, 083110000000, 084160041041, 091620000000, 092610000000, 093620000000, 094620000000, 095610000000, 096630000000, 097610000000
        - RS_0: 051000000000, 053000000000, 055000000000, 057000000000, 059000000000, 064000000000, 065000000000, 066000000000, 081000000000, 082000000000, 083000000000, 084000000000, 091000000000, 092000000000, 093000000000, 094000000000, 095000000000, 096000000000, 097000000000
   * - [Germany] Districts
     - 431 districts of germany with multiple identifiers
     - data/geojson/germany/VB2500_KRS.geojson
        - ADE: 4
        - GF: 2, 4
        - BSG: 1
        - ARS: 01001, 01002, 01003, 01004, 01051, 01053, 01054, 01055, 01056, 01057, 01058, 01059, 01060, 01061, 01062, 02000, 03101, 03102, 03103, 03151, 03154, 03155, 03157, 03158, 03159, 03241, 03251, 03254, 03255, 03256, 03257, 03351, 03352, 03353, 03354, 03355, 03356, 03357, 03358, 03359, 03360, 03361, 03401, 03402, 03403, 03404, [...]
        - AGS: 01001, 01002, 01003, 01004, 01051, 01053, 01054, 01055, 01056, 01057, 01058, 01059, 01060, 01061, 01062, 02000, 03101, 03102, 03103, 03151, 03154, 03155, 03157, 03158, 03159, 03241, 03251, 03254, 03255, 03256, 03257, 03351, 03352, 03353, 03354, 03355, 03356, 03357, 03358, 03359, 03360, 03361, 03401, 03402, 03403, 03404, [...]
        - SDV_ARS: 010010000000, 010020000000, 010030000000, 010040000000, 010510044044, 010530100100, 010540056056, 010550012012, 010560039039, 010570057057, 010580135135, 010590075075, 010600005005, 010610046046, 010620004004, 020000000000, 031010000000, 031510009009, 031530017017, 031540028028, 031550011011, 032510012012, 032520006006, [...]
        - GEN: Flensburg, Kiel, Lübeck, Neumünster, Dithmarschen, Herzogtum Lauenburg, Nordfriesland, Ostholstein, Pinneberg, Plön, Rendsburg-Eckernförde, Schleswig-Flensburg, Segeberg, Hamburg, Braunschweig, Salzgitter, Wolfsburg, Gifhorn, Goslar, Helmstedt, Northeim, [...]
        - BEZ: Kreisfreie Stadt, Landkreis
        - IBZ: 40, 41, 42, 43, 45
        - BEM: --, Sonderverband
        - NBD: ja, nein
        - SN_L: 01, 02, 03, 04, 05, 06, 07, 08, 09, 10, 11, 12
        - SN_R: 0, 1, 2, 3, 4, 5, 6, 9
        - SN_K: 00, 01, 02, 03, 04, 05, 11, 12, 13, 14, 15, [...]
        - SN_V1: 00
        - SN_V2: 00
        - SN_G: 000
        - FK_S3: R, K
        - NUTS: D111, DE112, DE113, DE114, DE115, DE116, DE117, DE118, DE119, DE11A, DE11B, DE11C, DE11D, DE121, DE122, DE123, DE123, [...]
        - ARS_0: 010010000000, 010020000000, 010030000000, 010040000000, 010510000000, 010530000000, 010540000000, 010550000000, [...]
        - AGS_0: 01001000, 01002000, 01003000, 01004000, 01051000, 01053000, 01054000, 01055000, 01056000, 01057000, [...]
        - WSK: 1968-10-01, 1969-06-07, 1969-08-01, 1970-04-26, 1970-11-07, 1972-04-22, 1972-07-01, [...]
        - DEBKG_ID: DEBKGDL20000001Q, DEBKGDL20000001T, DEBKGDL200000026, DEBKGDL20000002K, DEBKGDL20000002N, [...]
        - RS: 01001, 01002, 01003, 01004, [...]
        - SDV_RS: 010010000000, 010010000000, 010020000000, 010020000000, [...]
        - RS_0: 010010000000, 010020000000, 010030000000, 010040000000, [...]
   * - [Germany] Municipalities
     - 11.135 municipalities of germany with multiple identifiers
     - data/geojson/germany/VB2500_GEM.geojson
        - ADE: 6
        - GF: 2, 4
        - BSG: 1
        - ARS: 010010000000, 010020000000, 010030000000, 010040000000, 010510011011, [...]
        - AGS: 01001000, 01002000, 01003000, 01004000, 01051011, [...]
        - SDV_ARS: 010010000000, 010020000000, 010030000000, 010040000000, 010510011011, [...]
        - GEN: Flensburg, Kiel, Lübeck, Neumünster, Brunsbüttel, [...]
        - BEZ: Gemeinde, Gemeindefreies Land, Stadt
        - IBZ: 61, 62, 63, 64, 65
        - BEM: --, gemeinschaftsangehörig, kreisfrei
        - NBD: ja, nein
        - SN_L: 01, 02, 03, 04, 05, 06, 07, 08, 09, 10, 11, 12, 13, 14, 15, 16
        - SN_R: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9
        - SN_K: 01 - 91
        - SN_V1: 00, 01, 02, 03, 04, 05, 06, 50, 51, 52, [...]
        - SN_V2: 00 - 99
        - SN_G: 000, 001, [...]
        - FK_S3: K, R
        - NUTS: DEF01, DEF02, DEF03, DEF04, DEF05, [...]
        - ARS_0: 010010000000, 010020000000, 010030000000, 010040000000, 010510011011, [...]
        - AGS_0: 01001000, 01002000, 01003000, 01004000, 01051011, [...]
        - WSK: 2008-01-01, 2006-01-01, 2006-02-01, 1970-04-26, 2009-01-01, [...]
        - DEBKG_ID: DEBKGDL20000E5MA, DEBKGDL20000004J, DEBKGDL20000DYMA, DEBKGDL20000E4SA, [...]
        - RS: 010010000000, 010020000000, 010030000000, 010040000000, [...]
        - SDV_RS: 010010000000, 010020000000, 010030000000, 010040000000, [...]
        - RS_0: 010010000000, 010020000000, 010030000000, 010040000000, [...]
   * - [Germany] Health Insurance Districts (GKV)
     - 42 statutory health insurance districts of germany identified by name
     - data/geojson/germany/GKV_DISTRICTS.geojson
        - ID: Baden-Baden, Berlin, Brandenburg, Bremen, Chemnitz, Darmstadt, Dortmund, Dresden, Düsseldorf, Frankfurt a.M., Freiburg, Gießen, Halle, Hamburg, Karlsruhe, Kassel, Koblenz-Trier, Köln, Konstanz, Leipzig, Magdeburg-Dessau, Mannheim, Mecklenburg-Vorpommern, Mittelfranken, München, Münster, Niederbayern, Niedersachsen, Oberbayern, Oberfranken, Oberpfalz, Offenburg, Pforzheim, Rheinhessen-Pfalz, Saarland, Schleswig-Holstein, Schwaben, Stuttgart, Thüringen, Unterfranken
   * - [Germany] Health Insurance Regions (GKV)
     - 17 statutory health insurance regions of germany identified by name
     - data/geojson/germany/GKV_REGIONS.geojson
        - ID: Baden-Württemberg, Bayern, Berlin, Brandenburg, Bremen, Hamburg, Hessen, Mecklenburg-Vorpommern, Niedersachsen, Nordrhein, Rheinland-Pfalz, Saarland, Sachsen, Sachsen-Anhalt, Schleswig-Holstein, Thüringen, Westfalen-Lippe
   * - [Germany] VRB 4 (Supply Regions GKV)
     - 305 supply regions of german health insurance (gkv)
     - data/geojson/germany/VRB_4.geojson
         - ID: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, [...]
   * - [Germany] VRB 5 (Supply Regions GKV)
     - 516 supply regions of german health insurance (gkv)
     - data/geojson/germany/VRB_5.geojson
         - ID: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, [...]
   * - [Indoor] Floorplan Example
     - example indoor map / floorplan visualization, one building, 2 level, rooms are identified by room number or room name
     - data/geojson/indoor/sample/
        - eg00/EG00_POLY.geojson (level 0)
            - ID: A0001, A0002, A0002.1, A0003, A0004, A0006, A0008, A0009, A0009.1, A0009.2, A0009.4, A0010, A0011, A0012, A0013, A0014, [...]
            - R_NAME: Abstellraum, Anmeldung, Angiografie 1, Angiografie 2, Anmeldung ambulant, Anmeldung ZPM, Arztzimmer, Archiv, [...]
        - og01/OG01_POLY.geojson (level 1)
            - ID: A1001, A1002, A1002.1, A1003, A004, A1005, A1005.1, A1006 - A1011, [...], B1078, B1079, B1080, [...]
            - R_NAME: 2-Bett-Zim, 3-Bett-Zim, Abschiedsr, Abstellrau, Anmeldung, Arbeitsrau, Archiv, [...]

A complete overview of the dataset and attributes can be found in excel files within the corresponding data directory (these files only serve as information about which data is included and are not read/loaded by the extension, modifying the data in excel files will have no effects; all attributes are include within the corresponding geojson files):

.. list-table::
   :header-rows: 1

   * - Name
     - Data File
   * - [World] All Countries
     - data/geojson/world/WORLD.xlsx
   * - [Germany] Postal Code 1-digit
     - data/geojson/germany/PLZ_1.xlsx
   * - [Germany] Postal Code 2-digit
     - data/geojson/germany/PLZ_2.xlsx
   * - [Germany] Postal Code 3-digit
     - data/geojson/germany/PLZ_3.xlsx
   * - [Germany] Postal Code 4-digit
     - data/geojson/germany/PLZ_4.xlsx
   * - [Germany] Postal Code 5-digit
     - data/geojson/germany/PLZ_5.xlsx
   * - [Germany] Federal States (NUTS1)
     - data/geojson/germany/2500_NUTS1.xlsx
   * - [Germany] NUTS2
     - data/geojson/germany/2500_NUTS2.xlsx
   * - [Germany] NUTS3
     - data/geojson/germany/2500_NUTS3.xlsx
   * - [Germany] Government Districts
     - data/geojson/germany/VG250_RBZ.xlsx
   * - [Germany] Districts
     - data/geojson/germany/VB2500_KRS.xlsx
   * - [Germany] Municipalities
     - data/geojson/germany/VB2500_GEM.xlsx
   * - [Germany] Health Insurance Districts (GKV)
     - data/geojson/germany/GKV_DISTRICTS.xlsx
   * - [Germany] Health Insurance Regions (GKV)
     - data/geojson/germany/GKV_REGIONS.xlsx
   * - [Germany] VRB 4 (Supply Regions GKV)
     - data/geojson/germany/VRB_4.xlsx
   * - [Germany] VRB 5 (Supply Regions GKV)
     - data/geojson/germany/VRB_5.xlsx
   * - [Indoor] Floorplan Example
     -
        - data/geojson/indoor/sample/eg00/eg00.xlsx
        - data/geojson/indoor/sample/og01/og01.xlsx

***********************************************
Map & Geodata Preview / Data Set Description
***********************************************

A preview of the maps and datasets (including number of features, identifiers and sources/references) can be found within this section.

[World] All Countries
====================================

- Number of Features: 245
- Identifiers: ID, ISO3166-1-Alpha-3, ISO3166-1-numeric, ISO3166-1-Alpha-2, Official Name, Region Name, Sub-region Name, Capital, Continent, TLD
- Source: visgato

.. figure:: ../images/map-world.jpg
  :alt: [World] All Countries
  :height: 400

  Example Visualization of [World] All Countries

[Germany] Postal Code 1-digit
====================================

- Number of Features: 10
- Identifiers: PLZ
- Source: visgato

.. figure:: ../images/map-plz-1digit.jpg
  :alt: [Germany] Postal Code 1-digit
  :height: 400

  Example Visualization of [Germany] Postal Code 1-digit with Labels and Popups

[Germany] Postal Code 2-digit
====================================

- Number of Features: 95
- Identifiers: PLZ
- Source: visgato

.. figure:: ../images/map-plz-2digit.jpg
  :alt: [Germany] Postal Code 2-digit
  :height: 400

  Example Visualization of [Germany] Postal Code 2-digit with Labels and Popups

[Germany] Postal Code 3-digit
====================================

- Number of Features: 671
- Identifiers: PLZ
- Source: visgato

.. figure:: ../images/map-plz-3digit.jpg
  :alt: [Germany] Postal Code 3-digit
  :height: 400

  Example Visualization of [Germany] Postal Code 3-digit with Labels and Popups

[Germany] Postal Code 4-digit
====================================

- Number of Features: 3.119
- Identifiers: PLZ
- Source: visgato

.. figure:: ../images/map-plz-4digit.jpg
  :alt: [Germany] Postal Code 4-digit
  :height: 400

  Example Visualization of [Germany] Postal Code 4-digit with Labels and Popups

[Germany] Postal Code 5-digit
====================================

- Number of Features: 8.170
- Identifiers: PLZ
- Source: visgato

.. figure:: ../images/map-plz-5digit.jpg
  :alt: [Germany] Postal Code 5-digit
  :height: 400

  Example Visualization of [Germany] Postal Code 5-digit with Labels and Popups

[Germany] Federal States (NUTS1)
====================================

- Number of Features: 16
- Identifiers: NUTS_LEVEL, NUTS_CODE, NUTS_NAME
- Source: visgato

.. figure:: ../images/map-federal-states-nuts1.jpg
  :alt: [Germany] Federal States (NUTS1)
  :height: 400

  Example Visualization of [Germany] Federal States (NUTS1) with Labels and Popups

.. figure:: ../images/map-federal-districts.jpg
  :alt: [Germany] Federal States (NUTS1)
  :height: 400

  Example Visualization of [Germany] Federal States (NUTS1) with OSM Background Map and Popups

`NUTS Description <https://www.destatis.de/Europa/DE/Methoden-Metadaten/Klassifikationen/UebersichtKlassifikationen_NUTS.html>`_

[Germany] NUTS2
====================================

- Number of Features: 38
- Identifiers: NUTS_LEVEL, NUTS_CODE, NUTS_NAME
- Source: visgato

.. figure:: ../images/map-nuts2.jpg
  :alt: [Germany] NUTS2
  :height: 400

  Example Visualization of [Germany] NUTS2

`NUTS Description <https://www.destatis.de/Europa/DE/Methoden-Metadaten/Klassifikationen/UebersichtKlassifikationen_NUTS.html>`_

[Germany] NUTS3
====================================

- Number of Features: 401
- Identifiers: NUTS_LEVEL, NUTS_CODE, NUTS_NAME
- Source: visgato

.. figure:: ../images/map-nuts3.jpg
  :alt: [Germany] NUTS3
  :height: 400

  Example Visualization of [Germany] NUTS3

`NUTS Description <https://www.destatis.de/Europa/DE/Methoden-Metadaten/Klassifikationen/UebersichtKlassifikationen_NUTS.html>`_

[Germany] Government Districts
====================================

- Number of Features: 20
- Identifiers: ADE, GF, BSG, ARS, AGS, SDV_ARS, GEN, BEZ, IBZ, BEM, NBD, SN_L, SN_R, SN_K, SN_V1, SN_V2, SN_G, FK_S3, NUTS, ARS_0, AGS_0, WSK, DEBKG_ID, RS, SDV_RS, RS_0
- Source: visgato

.. figure:: ../images/map-vg250-rbz-nuts-code.jpg
  :alt: [Germany] Government Districts
  :height: 400

  Example Visualization of [Germany] Government Districts identified by NUTS CODE (with labels)

.. figure:: ../images/map-vg250-rbz-ags.jpg
  :alt: [Germany] Government Districts
  :height: 400

  Example Visualization of [Germany] Government Districts identified by AGS (with labels)

.. figure:: ../images/map-vg250-rbz-gen.jpg
  :alt: [Germany] Government Districts
  :height: 400

  Example Visualization of [Germany] Government Districts identified by GEN (with labels)

[Germany] Districts
====================================

- Number of Features: 431
- Identifiers: ADE, GF, BSG, ARS, AGS, SDV_ARS, GEN, BEZ, IBZ, BEM, NBD, SN_L, SN_R, SN_K, SN_V1, SN_V2, SN_G, FK_S3, NUTS, ARS_0, AGS_0, WSK, DEBKG_ID, RS, SDV_RS, RS_0
- Source: visgato

.. figure:: ../images/map-vg250-krs-nuts.jpg
  :alt: [Germany] Districts
  :height: 400

  Example Visualization of [Germany] Districts  identified by NUTS CODE (with labels)

.. figure:: ../images/map-vg250-krs-ags.jpg
  :alt: [Germany] Districts
  :height: 400

  Example Visualization of [Germany] Districts identified by AGS (with labels)

.. figure:: ../images/map-vg250-krs-ars.jpg
  :alt: [Germany] Districts
  :height: 400

  Example Visualization of [Germany] Districts identified by ARS (with labels)

.. figure:: ../images/map-vg250-krs-gen.jpg
  :alt: [Germany] Districts
  :height: 400

  Example Visualization of [Germany] Districts identified by GEN (with labels)

[Germany] Municipalities
====================================

- Number of Features: 350
- Identifiers: ADE, GF, BSG, ARS, AGS, SDV_ARS, GEN, BEZ, IBZ, BEM, NBD, SN_L, SN_R, SN_K, SN_V1, SN_V2, SN_G, FK_S3, NUTS, ARS_0, AGS_0, WSK, DEBKG_ID, RS, SDV_RS, RS_0
- Source: visgato

.. figure:: ../images/map-vg250-gem-nuts.jpg
  :alt: [Germany] Municipalities
  :height: 400

  Example Visualization of [Germany] Municipalities identified by NUTS CODE

.. figure:: ../images/map-vg250-gem-ags.jpg
  :alt: [Germany] Municipalities
  :height: 400

  Example Visualization of [Germany] Municipalities identified by AGS

.. figure:: ../images/map-vg250-gem-gen.jpg
  :alt: [Germany] Municipalities
  :height: 400

  Example Visualization of [Germany] Municipalities identified by GEN


[Germany] Health Insurance Districts (GKV)
====================================

- Number of Features: 64
- Identifiers: ID
- Source: visgato

.. figure:: ../images/map-gkv-districts.jpg
  :alt: [Germany] Health Insurance Districts (GKV)
  :height: 400

  Example Visualization of [Germany] Health Insurance Districts (GKV)

[Germany] Health Insurance Regions (GKV)
=========================================

- Number of Features: 17
- Identifiers: ID
- Source: visgato

.. figure:: ../images/map-gkv-regions.jpg
  :alt: [Germany] Health Insurance Regions (GKV)
  :height: 400

  Example Visualization of [Germany] Health Insurance Regions (GKV)

[Germany] VRB 4 (Supply Regions GKV)
=========================================

- Number of Features: 305
- Identifiers: ID
- Source: visgato

.. figure:: ../images/map-vrb-4.jpg
  :alt: [Germany] VRB 4 (Supply Regions GKV)
  :height: 400

  Example Visualization of [Germany] VRB 4 (Supply Regions GKV)

[Germany] VRB 5 (Supply Regions GKV)
=========================================

- Number of Features: 516
- Identifiers: ID
- Source: visgato

.. figure:: ../images/map-vrb-5.jpg
  :alt: [Germany] VRB 5 (Supply Regions GKV)
  :height: 400

  Example Visualization of [Germany] VRB 5 (Supply Regions GKV)

[Indoor] Floorplan Example
=========================================

- Number of Features:
    - EG00_POLY.geojson: 459
    - OG01_POLY.geojson: 486
- Identifiers: ID, R_NAME
- Source: visgato

.. figure:: ../images/map-indoor.jpg
  :alt: [Indoor] Floorplan
  :height: 400

   [Indoor] Floorplan

*******************************
Custom Maps & Geospatial Data
*******************************

Custom maps and geodata can also be included as GeoJSON files. The coordinate reference system (CRS) therefore also needs to be EPSG:4326. Created .geojson files should be placed within the data/geojson directory and can be loaded by using an expression inside the "Geodata" properties panel.

.. code-block::

    ='/data/geojson/germany/PLZ_1.geojson'

Switching the map file by using a expression which returns the file path (where someVariable references /data/geojson/germany/PLZ_1.geojson):

.. code-block::

    =someVariable

Switching the map file by using an expression with if-Switch:

.. code-block::

    =if(someVariable=1,'/data/geojson/germany/PLZ_1.geojson',
     if(someVariable=2,'/data/geojson/germany/PLZ_2.geojson',
     if(someVariable='someString1','/data/geojson/germany/2500_NUTS1.geojson',
     if(someVariable='someString2','/data/geojson/germany/GKV_REGIONS.geojson',
     if(someVariable='someString3','/data/geojson/germany/GKV_DISTRICTS.geojson',
     if(someVariable='someString4','/data/geojson/germany/VRB_4.geojson',
     if(someVariable='someString5','/data/geojson/germany/VRB_5.geojson',
     if(someVariable='someString6','/data/geojson/germany/VG250_GEM.geojson',
     '/data/geojson/germany/PLZ_5.geojson'))))))))