999 resultados para Railroads--Virginia--Alexandria Region--Maps.
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Scale ca. 1:126,720.
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Shows distances from the White House at selected points.
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Shows fortifications and names of some residents.
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Cadastral map showing lot numbers.
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This layer is a georeferenced raster image of the historic paper map entitled: Topographical map of the District of Columbia and a portion of Virginia, compiled under the direction of Major G.J. Lydecker, Corps of Engineers, Engineer Commissioner D.C., by Captain F.V. Greene, Corps of Engineers ; drawn by W.T.O. Bruff. It was published in 1884. Scale [1:15,840]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Maryland State Plane Coordinate System Meters NAD83 (Fipszone 1900). 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, selected public buildings, selected private residences and names of landowners, built-up areas, parks, and more. Relief shown by contours. Depths shown by soundings. Includes source materials note. 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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This layer is a georeferenced raster image of the historic paper map entitled: Topographical map of the original District of Columbia and environs showing the fortifications around the city of Washington, by E.G. Arnold C.E. It was published by G. Woolworth Colton in 1862. Scale [ca. 1:31,680]. Covers also adjacent portions of Virginia and Maryland. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Maryland State Plane Coordinate System Meters NAD83 (Fipszone 1900). 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, bridges, canals, drainage, cities and towns, forts, selected public buildings and places of interest, hospitals, schools, Washington, D.C. school districts, selected private residences with names of landowners, and more. Relief is shown by hachures. Includes text and population tables. 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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Relief shown by hachures. Depths shown by contours.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Covers part of Harrison County (W.Va.)
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" 563809756." on verso.
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Transportation map of Iowa, updated march 1, 2014. map focuses on interstate highways, primary and secondary state roads, county roads, and scenic byways. Also includes railroad lines, airports, waterways, and locks and dams. All 99 counties are represented, as well as approximately 1,000 cities and towns. Points of interest are also marked. This record contains images of both the front and the back of the map.
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There is an increasing demand for detailed maps that represent in a simplified way the knowledge of the variability of a particular area or region maps. The objective was to outline precision boundaries among areas with different accuracy variability standards using magnetic susceptibility and geomorphic surfaces. The study was conducted in an area of 110 ha, which identified three compartment landscapes based on the geomorphic surfaces model. To determinate pH, organic matter, phosphorus, potassium and magnesium, the total sand and clay, 514 soil samples were collected at depths of 0-0.20 m and 0.60-0.80 m. The sum of base, cationic exchange capacity and base saturation were calculated and the magnetic susceptibility was evaluated in the laboratory using a system based on a balance of analytical precision method. Geomorphic surfaces identification allowed setting specific management areas (locations with maximum homogeneity of soil attributes). The map of spatial variability of magnetic susceptibility can be used to validate the precise boundaries among geomorphic surfaces identified in the field and infer the variability of clay content and soil base saturation.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Shows wetlands, municipal owned land, private owned land, and non-profit owned land around the South Weymouth Naval Air Station.
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delineatus a C. Niebuhr.