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Title: Leiden, Netherlands, ca. 1695 (Raster Image)

Contributors:

Dates

  • Issued: 2014-10
  • Coverage: 1695

Publishers

  • Harvard Map Collection, Harvard College Library

Summary

This layer is a georeferenced raster image of the historic paper map entitled: Lugduni Batavorum vulgo Leyden sic ultimo amplificati delineatio, F. de Wit excudit. It was published ca. 1695. Scale [ca. 1:3,490]. Covers a portion of Leiden, Netherlands. Map in Latin and Dutch.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Dutch National Grid: RD (Rijksdriehoekstelsel) GCS Amersfoort (Bessel 1841) coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, built-up areas and selected buildings, fortifications, canals, ground cover, and more. Includes also index.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Subjects

  • Transportation
  • Netherlands
  • Leiden
  • Maps
  • Aerial views
  • Human settlements
  • Cities and towns
  • Landforms
  • Bodies of water
  • Land use
  • Infrastructure (Economics)
  • imageryBaseMapsEarthCover
  • Datasets

Geospatial coordinates

  • Bounding Box: BBOX (4.473781, 4.510704, 52.169175, 52.149512)
  • Geometry: BBOX (4.473781, 4.510704, 52.169175, 52.149512)

Provider

Harvard

Rights

  • Access rights: Public

Citation

Harvard Map Collection, Harvard College Library, Wit, Frederik de. Leiden, Netherlands, ca. 1695 (Raster Image). Harvard Map Collection, Harvard College Library. Raster data. https://hgl.harvard.edu/catalog/harvard-g6004-l36a3-1690-w5

Format

GeoTIFF