| Style | Dark Blue |
|---|---|
| Formats | AI (CS4), PDF (v1.5), PNG (150 DPI) PNG Print |
| Dimensions | 63.5 x 65.4 cm (25″ x 25.7″) 3754 x 3862 px 63.5 x 65.4 cm (25″ x 25.7″) |
| Scale | 1:20.000 |
| Coordinates | 51° 25' 37'' N | 7° 20' 4'' E |
| Projection | Transverse Mercator (ETRS89 / UTM zone 32N) |
| Layers | Administrative Boundaries, Area Features, Background, Buildings, Landuse/Natural Areas, Line Features, Railroads, Roads, Roads\Railroads Tunnels, Water Areas, Water Lines None Administrative Boundaries, 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 | 20.97 MB 2.66 MB N/A |
| Date Created | 2024-01-27 |
| Places | Cities: Towns: Neighbourhoods: Am Stetrot, Am Wilshause, Augustaviertel, Bismarckquartier, Bommerholz, Breddeviertel, Brockhausen, Buchholz, Crengeldanz, Durchholz, Freiheit, Gerberviertel, Goy, Grabeloh, Havkenscheid, Hustadt, Im Tinsberg, Johannisviertel, Kaltehardt, Kämpen, Kermelberg, Kirchende, Kleinherbede, Krone, Laerheide, Langendreerholz, Neubaugebiet Sunderweg, Oesterheide, Papenholz, Phillipshöhe, Schrick, Siedlung Stuckenholzhöhe, Sonnenschein, Steinkuhl, Trienendorf, Ümmingen, Vormholz, Werkssiedlung, Westende, Wiesenviertel, Wullen Suburbs: Altenbochum, Alt-Wetter, Annen, Auf dem Schnee, Barop, Bommern, Düren, Eichlinghofen, Ende, Esborn, Grundschöttel, Harpen, Herbede, Heven, Hohe Egge, Innenstadt, Kruckel, Laer, Langendreer, Menglinghausen, Oberwengern, Persebeck, Querenburg, Rüdinghausen, Salingen, Schnee, Schraberg, Stiepel, Stockum, Volmarstein, Wengern, Werne, Wiemelhausen, Witten-Mitte Hamlets: Albringhausen, Borbach, Düren, Esborn, Gedern, Hammertal, Im Böllberg, Im Freisewinkel, Im Obersten Korten, Kleine Borbach, Rauendahl, Sandberg, Unter den Eichen, Voßhöfen, Voßkuhle, Werdringen show more... |
Witten Vector Map
Dark Blue, 1:20.000
From Original price was: 10.00 €.7.50 €Current price is: 7.50 €.
bodies, railroads, highways, and buildings, among others. It serves as an ideal data source for large-scale mapping projects. The data is organized into layered feature groups (e.g., Buildings -> Accommodation, Commercial, etc.), allowing for easy customization and tailored use....
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Other styles & scales:
This vector map is built from high-quality, openly licensed data sources to ensure accuracy and usability:
Note: Some data sources require attribution. See license options and attribution for more details.






