992 resultados para Blue Ridge Railroad Company (Virginia)


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The Global River Discharge (RivDIS) data set contains monthly discharge measurements for 1018 stations located throughout the world. The period of record varies widely from station to station, with a mean of 21.5 years. These data were digitized from published UNESCO archives by Charles Voromarty, Balaze Fekete, and B.A. Tucker of the Complex Systems Research Center (CSRC) at the University of New Hampshire. River discharge is typically measured through the use of a rating curve that relates local water level height to discharge. This rating curve is used to estimate discharge from the observed water level. The rating curves are periodically rechecked and recalibrated through on-site measurement of discharge and river stage.

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The Semantics Difficulty Model (SDM) is a model that measures the difficult of introducing semantics technology into a company. SDM manages three descriptions of stages, which we will refer to as ?snapshots?: a company semantic snapshot, data snapshot and semantic application snapshot. Understanding a priory the complexity of introducing semantics into a company is important because it allows the organization to take early decisions, thus saving time and money, mitigating risks and improving innovation, time to market and productivity. SDM works by measuring the distance between each initial snapshot and its reference models (the company semantic snapshots reference model, data snapshots reference model, and the semantic application snapshots reference model) with Euclidian distances. The difficulty level will be "not at all difficult" when the distance is small, and becomes "extremely difficult" when the the distance is large. SDM has been tested experimentally with 2000 simulated companies with arrangements and several initial stages. The output is measured by five linguistic values: "not at all difficult, slightly difficult, averagely difficult, very difficult and extremely difficult". As the preliminary results of our SDM simulation model indicate, transforming a search application into integrated data from different sources with semantics is a "slightly difficult", in contrast with data and opinion extraction applications for which it is "very difficult".

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This layer is a georeferenced raster image of the historic paper map: War telegram marking map. It was published by L. Prang & Co. in 1862. Scale [ca. 1:490,000]. Covers portions of Maryland, West Virginia, the District of Columbia, and eastern Virginia. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator projection (WGS 1984 UTM Zone 18N). 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, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, selected points of military interest, and more. Relief shown by hachures. Includes text: "Explanations.The extraordinary large scale on which this map is drawn has been adopted to make it just what we designed it to be, namely 1st. The most distinct map ever published of the whole Virginia territory, where the decisive battles for the Union will be fought. 2nd. A marking map, that is a map to mark the change of positions of the Union forces in red pencil and the rebel forces in blue, on the receipt of every telegram from the seat of war..." This layer is part of a selection of digitally scanned and georeferenced historic maps of the Civil War from the Harvard Map Collection. Many items from this selection are from a collection of maps deposited by the Military Order of the Loyal Legion of the United States Commandery of the State of Massachusetts (MOLLUS) in the Harvard Map Collection in 1938. These maps typically portray both natural and manmade features, in particular showing places of military importance. 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: Blanchard's map of Chicago and suburbs. It was published by Rufus Blanchard in 1910. Scale [ca. 1:49,600]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Illinois East State Plane Coordinate System NAD83 (in Feet) (Fipszone 1201). 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, elevated roads, railroads, railroad stations, street car lines, drainage, selected industry locations, parks and boulevards, city limits and ward boundaries, and more. Includes insets: Lake shore north of Chicago -- Cook, Dupage, and Will counties, also parts of Kane County, Ill., and Lake County, Ind.. 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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Federal Transit Administration, Washington, D.C.

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Mode of access: Internet.

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"List of local railroads chartered by the state of New Jersey": p. 15-17.