Style | Dark Blue |
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Formats | AI (CS4), PDF (v1.5), PNG PNG Print |
Dimensions | 77.1 x 89.5 cm (30.4″ x 35.2″) 4554 x 5287 px 77.1 x 89.5 cm (30.4″ x 35.2″) |
Scale | 1:20.000 |
Coordinates | 51° 2' 33'' N | 11° 34' 55'' E |
Projection | Transverse Mercator (ETRS89 / UTM zone 32N) |
Layers | Administrative Boundaries, Aeroways, Area Features, Background, Buildings, Landuse/Natural Areas, Line Features, Railroads, Roads, Roads\Railroads Tunnels, Water Areas, Water Lines None Administrative Boundaries, Aeroways, Area Features, Background, Buildings, Landuse/Natural Areas, Line Features, Railroads, Roads, Roads\Railroads Tunnels, Water Areas, Water Lines |
Fonts | Arial |
Data Sources | OpenStreetMap |
Package Size | 7.63 MB 1.66 MB N/A |
Date Created | 2024-01-27 |
Places | Towns: Villages: , Beutnitz, Closewitz, Darnstedt, Dornburg, Dorndorf, Eberstedt, Eckolstädt, Flurstedt, Gebstedt, Gernstedt, Golmsdorf, Großheringen, Großromstedt, Hainichen, Hermstedt, Herressen, Herressen-Sulzbach, Hirschroda, Hohlstedt, Isserstedt, Kaatschen, Kapellendorf, Kleinheringen, Kleinromstedt, Ködderitzsch, Kösnitz, Kötschau, Krippendorf, Lachstedt, Mattstedt, Münchengosserstädt, Nauendorf, Naura, Nerkewitz, Neustedt, Niederroßla, Niedertrebra, Nirmsdorf, Oberndorf, Oberroßla, Obertrebra, Pfuhlsborn, Porstendorf, Rannstedt, Rehehausen, Reisdorf, Rödigen, Schmiedehausen, Schöten, Seena, Sonnendorf, Steudnitz, Stiebritz, Stöben, Stobra, Sulzbach, Taugwitz, Thüsdorf, Tromsdorf, Utenbach, Vierzehnheiligen, Wichmar, Wickerstedt, Wilsdorf, Wormstedt, Würchhausen, Zimmern, Zottelstedt... Neighbourhoods: Apolda Nord, Berghaus, Heusdorf, Sozialwohnungen Naumburger Straße, Wohngebiet "Am Schötener Bache", Wohnungsbau Naumburger Straße Suburbs: Bergsulza, Dorfsulza, Oberroßla/Rödigsdorf Hamlets: Döbritschen, Escherode, Naschhausen, Poche, Schwabsdorf, Stendorf, Weichau show more... |
Bad Sulza Vector Map
Dark Blue
From 10.00 €
Shows major geographical features such as coastline, water bodies, railroads, highways, buildings, etc. The content is a perfect data source for a large scale map. The layers consist of feature groups (e.g., Buildings -> Accommodation, Commercial, etc.) that makes customization much easier.
You receive fully-editable and feature layered map in the following formats.
Map data: © OpenStreetMap contributors.
Note, the above mentioned data sources require attribution, see license options for more details.
Note, the above mentioned data sources require attribution, see license options for more details.