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In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used as a first step for a wide variety of data integration tasks, including: [1] Data transformation or data mediation between a data source and a destination; Identification of data relationships as ...
projection: map projection, frequently "latlong" extensions: zipped .ext → unzipped .ext; size_compressed: compressed size (usually in Kb/Mb), for download. size_uncompressed: uncompressed size (usually in Kb/Mb), for storage. tile_size: geographic size of each tile/file of the data set. tiles_total: numbers of tiles/files in the whole data set.
Crosswalk tables are often employed within or in parallel to enterprise systems, especially when multiple systems are interfaced or when the system includes legacy system data. In the context of Interfaces, they function as an internal extract, transform, load (ETL) mechanism. For example, this is a metadata crosswalk from MARC standards to ...
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For example, used in project planning; Heat map: Heat map: color; categorical variable; Represents the magnitude of a phenomenon as color in two dimensions. There are two categories of heat maps: cluster heat map: where magnitudes are laid out into a matrix of fixed cell size whose rows and columns are categorical data. For example, the graph ...
A hybrid topological data model has the option of storing topological relationship information as a separate layer built on top of a spaghetti data set. An example is the network dataset within the Esri geodatabase. [23] Vector data are commonly used to represent conceptual objects (e.g., trees, buildings, counties), but they can also represent ...
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