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Pennsylvania Spatial Data Access (PASDA), [4] the official public geospatial data clearinghouse for the Commonwealth of Pennsylvania marked its 18th year in 2014. PASDA, which has grown from a small website offering 35 data sets in 1996 to the expansive user-centered data clearinghouse that it is today, has become a staple of the GIS community in Pennsylvania.
The pay scale was originally created with the purpose of keeping federal salaries in line with equivalent private sector jobs. Although never the intent, the GS pay scale does a good job of ensuring equal pay for equal work by reducing pay gaps between men, women, and minorities, in accordance with another, separate law, the Equal Pay Act of 1963.
Basic GIS concept. A geographic information system (GIS) consists of integrated computer hardware and software that store, manage, analyze, edit, output, and visualize geographic data. [1] [2] Much of this often happens within a spatial database; however, this is not essential to meet the definition of a GIS. [1]
Geographic information science (GIScience, GISc) or geoinformation science is a scientific discipline at the crossroads of computational science, social science, and natural science that studies geographic information, including how it represents phenomena in the real world, how it represents the way humans understand the world, and how it can be captured, organized, and analyzed.
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Geographic information systems (GIS) play a constantly evolving role in geospatial intelligence (GEOINT) and United States national security.These technologies allow a user to efficiently manage, analyze, and produce geospatial data, to combine GEOINT with other forms of intelligence collection, and to perform highly developed analysis and visual production of geospatial data.
CEO pay includes salary, bonuses, stock sales, and other payments. Average CEO Pay is calculated using the last year a director sat on the board of each company. Stock returns do not include dividends. All directors refers to people who sat on the board of at least one Fortune 100 company between 2008 and 2012.
A spatial data infrastructure (SDI), also called geospatial data infrastructure, [1] is a data infrastructure implementing a framework of geographic data, metadata, users and tools that are interactively connected in order to use spatial data in an efficient and flexible way.
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