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.

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):

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

[World] All Countries

Example Visualization of [World] All Countries

[Germany] Postal Code 1-digit

  • Number of Features: 10

  • Identifiers: PLZ

  • Source: visgato

[Germany] Postal Code 1-digit

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

[Germany] Postal Code 2-digit

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

[Germany] Postal Code 3-digit

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

[Germany] Postal Code 4-digit

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

[Germany] Postal Code 5-digit

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

[Germany] Federal States (NUTS1)

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

[Germany] Federal States (NUTS1)

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

NUTS Description

[Germany] NUTS2

  • Number of Features: 38

  • Identifiers: NUTS_LEVEL, NUTS_CODE, NUTS_NAME

  • Source: visgato

[Germany] NUTS2

Example Visualization of [Germany] NUTS2

NUTS Description

[Germany] NUTS3

  • Number of Features: 401

  • Identifiers: NUTS_LEVEL, NUTS_CODE, NUTS_NAME

  • Source: visgato

[Germany] NUTS3

Example Visualization of [Germany] NUTS3

NUTS Description

[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

[Germany] Government Districts

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

[Germany] Government Districts

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

[Germany] Government Districts

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

[Germany] Districts

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

[Germany] Districts

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

[Germany] Districts

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

[Germany] Districts

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

[Germany] Municipalities

Example Visualization of [Germany] Municipalities identified by NUTS CODE

[Germany] Municipalities

Example Visualization of [Germany] Municipalities identified by AGS

[Germany] Municipalities

Example Visualization of [Germany] Municipalities identified by GEN

[Germany] Health Insurance Districts (GKV)

  • Number of Features: 64

  • Identifiers: ID

  • Source: visgato

[Germany] Health Insurance Districts (GKV)

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

[Germany] Health Insurance Regions (GKV)

  • Number of Features: 17

  • Identifiers: ID

  • Source: visgato

[Germany] Health Insurance Regions (GKV)

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

[Germany] VRB 4 (Supply Regions GKV)

  • Number of Features: 305

  • Identifiers: ID

  • Source: visgato

[Germany] VRB 4 (Supply Regions GKV)

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

[Germany] VRB 5 (Supply Regions GKV)

  • Number of Features: 516

  • Identifiers: ID

  • Source: visgato

[Germany] VRB 5 (Supply Regions GKV)

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

[Indoor] Floorplan

Example Visualization of [Indoor] Floorplan

sometext

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.

='/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):

=someVariable

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

=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'))))))))