3,339 results returned
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Title: Ecuador, 1892 (Raster Image)
Contributors:- Raster data
- 2012
- Not owned by MIT (Owned by Harvard)
- Harvard Map Collection, Harvard College Library
- Wolf, Teodoro.
- Instituto geografico de H. Wagner & E. Debes.
Summary: This layer is a georeferenced raster image of the historic paper map entitled: Carta geografica del Ecuador, por Teodoro Wolf ; publicada por orden del supremo gobierno de la republica y trabajada bajo las presidencias de los EE. se?ores D.J.M. Placido Caama?o y D. Antonio Flores. It was published by Instituto geografica de H. Wagner & E. Debes in 1892. Scale 1:445,000. Covers coastal Ecuador and portions of Colombia and Peru. Map in Spanish. The image inside the map neatline is georeferenced to the surface of the earth and fit to the South America Lambert Conformal Conic projected 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 drainage, cities and other human settlements, railroads, roads, territorial boundaries, shoreline features, and more. Relief shown by shading and spot heights. Includes also insets: La region oriental del Ecuador -- Archipielago de Galapagos, and table of altitudes of cities, villages and other inhabited spots, and, a table administrative divisions and subdivisions of Ecuador. 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.
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Title: Gdansk, Poland, 1886 (Raster Image)
Contributors:- Raster data
- 2015
- Not owned by MIT (Owned by Harvard)
Summary: This layer is a georeferenced raster image of the historic paper map entitled: Danzig. It was published by Geogr. Anstalt von Wagner & Debes in 1886. Scale 1:12,500. Covers Gdansk, Poland.The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'Pulkovo 1942 Adjust 1958 Poland Zone III' 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, railroads, drainage, canals, built-up areas and selected buildings, fortification, ground cover, and more. Relief shown by hachures.This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.
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Title: Edinburgh, Scotland, United Kingdom, 1890 (Raster Image)
Contributors:- Raster data
- 2015
- Not owned by MIT (Owned by Harvard)
Summary: This layer is a georeferenced raster image of the historic paper map entitled: Edinburgh. It was published by Wagner and Debes' Geog. Estab. in 1890. Scale 1:20,700. Covers Edinburgh, Scotland, United Kingdom.The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'British National Grid' 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, railroads, drainage, built-up areas and selected buildings, parks, and more. Relief shown by hachures.This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.
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Title: Rouen, France, 1884 (Raster Image)
Contributors:- Raster data
- 2014
- Not owned by MIT (Owned by Harvard)
Summary: This layer is a georeferenced raster image of the historic paper map entitled: Rouen. It was published by grave et imprime par Wagner & Debes in 1884. Scale 1:20,000. Map in French. Covers Rouen, France.The image inside the map neatline is georeferenced to the surface of the earth and fit to the European Datum 1950, Universal Transverse Mercator (UTM) Zone 31N projected 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, railroads and stations, drainage, built-up areas and selected buildings and industries, docks, and more. Relief shown by hachures.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.
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Title: Rotterdam, Netherlands, 1891 (Raster Image)
Contributors:- Raster data
- 2010
- Not owned by MIT (Owned by Harvard)
Summary: This layer is a georeferenced raster image of the historic paper map entitled: Rotterdam. It was published by Geograph. Anstalt von Wagner and Debes in 1891. Scale 1:16,600. Covers Rotterdam, Netherlands. Map in Dutch. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'RD_New (Rijksdriehoekstelsel), GCS Amersfoort' 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, railroads and stations, drainage, built-up areas and selected buildings, ground cover, parks, canals, wharves, docks, and more. Includes index. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.
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Title: Railway map of England and Wales
Contributors:- Not specified
- 1900
- Not owned by MIT (Owned by University of Minnesota)
Summary: Relief shown by hachures.; Includes inset map of Channel Islands. 37 x 36 centimeters Scale 1:1,500,000 General Map Collection
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Title: Argentina Miscellaneous Population, 2006
Contributors:- Point data
- 2006
- Not owned by MIT (Owned by Columbia)
Summary: Argentina Miscellaneous Population is a point theme representing settlements in Argentina. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Argentina Inland Waters, 2006
Contributors:- Polygon data
- 2006
- Not owned by MIT (Owned by Columbia)
Summary: Argentina Inland Waters is an area theme representing inland water features in Argentina. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Argentina Political Boundaries (Lines), 2006
Contributors:- Line data
- 2006
- Not owned by MIT (Owned by Columbia)
Summary: Argentina Political Boundaries is a line theme representing political boundaries in Argentina. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Argentina Coast Lines, 2006
Contributors:- Line data
- 2006
- Not owned by MIT (Owned by Columbia)
Summary: Argentina Coast Lines is a line theme representing coastlines and shorelines in Argentina. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Argentina Water Course, 2006
Contributors:- Line data
- 2006
- Not owned by MIT (Owned by Columbia)
Summary: Argentina Water Course is a line theme representing rivers and streams in Argentina. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Argentina Roads, 2006
Contributors:- Line data
- 2006
- Not owned by MIT (Owned by Columbia)
Summary: Argentina Roads is a line theme representing roadways in Argentina. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Argentina Railroads, 2006
Contributors:- Line data
- 2006
- Not owned by MIT (Owned by Columbia)
Summary: Argentina Railroads is a line theme representing railroads in Argentina. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Argentina Built-up Areas (polygons), 2006
Contributors:- Polygon data
- 2006
- Not owned by MIT (Owned by Columbia)
Summary: Argentina Built-up Areas is an area theme representing built-up areas in Argentina. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Argentina Political Boundaries (polygons), 2006
Contributors:- Polygon data
- 2006
- Not owned by MIT (Owned by Columbia)
Summary: Argentina Political Boundaries is an area theme representing administrative areas in Argentina . This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Contour Elevation Map of Siguatepeque, Honduras
Contributors:- Line data
- 2002
- Not owned by MIT (Owned by Harvard)
Summary: Contour elevation map for the Siguatepeque region, Honduras. This layer was vectorized from original hard copy topographic maps produced by the Instituto Geografico Nacional, Honduras from the early 1970s to the mid 1980s.Hurricane Mitch devastated Central America during the months of October-November of 1998. From 1998 to 2001 the US Geological Survey was involved along with other federal agencies in the reconstruction effort. The source CD consists of a compilation of GIS data layers and computer applications focused on hazard prevention and useful in municipal planning. Each dataset includes layers for a base area around the urban center of each municipality in the Hurricane Mitch project.
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Title: Contour Elevation Map of Choloma, Honduras
Contributors:- Line data
- 2002
- Not owned by MIT (Owned by Harvard)
Summary: Contour elevation map for the Choloma region, Honduras. This layer was vectorized from original hard copy topographic maps produced by the Instituto Geografico Nacional, Honduras from the early 1970s to the mid 1980s.Hurricane Mitch devastated Central America during the months of October-November of 1998. From 1998 to 2001 the US Geological Survey was involved along with other federal agencies in the reconstruction effort. The source CD consists of a compilation of GIS data layers and computer applications focused on hazard prevention and useful in municipal planning. Each dataset includes layers for a base area around the urban center of each municipality in the Hurricane Mitch project.
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Title: Contour Elevation Map of Amapala, Honduras
Contributors:- Line data
- 2002
- Not owned by MIT (Owned by Harvard)
Summary: Contour elevation map for the Amapala region, Honduras. This layer was vectorized from original hard copy topographic maps produced by the Instituto Geografico Nacional, Honduras from the early 1970s to the mid 1980s.Hurricane Mitch devastated Central America during the months of October-November of 1998. From 1998 to 2001 the US Geological Survey was involved along with other federal agencies in the reconstruction effort. The source CD consists of a compilation of GIS data layers and computer applications focused on hazard prevention and useful in municipal planning. Each dataset includes layers for a base area around the urban center of each municipality in the Hurricane Mitch project.
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Title: Contour Elevation Map of Gracias, Honduras
Contributors:- Line data
- 2002
- Not owned by MIT (Owned by Harvard)
Summary: Contour elevation map for the Gracias region, Honduras. This layer was vectorized from original hard copy topographic maps produced by the Instituto Geografico Nacional, Honduras from the early 1970s to the mid 1980s.Hurricane Mitch devastated Central America during the months of October-November of 1998. From 1998 to 2001 the US Geological Survey was involved along with other federal agencies in the reconstruction effort. The source CD consists of a compilation of GIS data layers and computer applications focused on hazard prevention and useful in municipal planning. Each dataset includes layers for a base area around the urban center of each municipality in the Hurricane Mitch project.
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Title: Contour Elevation Map of La Paz, Honduras
Contributors:- Line data
- 2002
- Not owned by MIT (Owned by Harvard)
Summary: Contour elevation map for the La Paz region, Honduras. This layer was vectorized from original hard copy topographic maps produced by the Instituto Geografico Nacional, Honduras from the early 1970s to the mid 1980s.Hurricane Mitch devastated Central America during the months of October-November of 1998. From 1998 to 2001 the US Geological Survey was involved along with other federal agencies in the reconstruction effort. The source CD consists of a compilation of GIS data layers and computer applications focused on hazard prevention and useful in municipal planning. Each dataset includes layers for a base area around the urban center of each municipality in the Hurricane Mitch project.