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Spatial data science & location intelligence Spatial SQL, spatial data science, location analytics, site selection, data visualization, mapping, geocoding and app development. Access to a catalog of 1,000s of spatial datasets. Proprietary (with free trial available). Fract No Linux, Windows, Unix, iOS, Android, Windows Phone, Cloud: Fract, Inc.
A spatial database is a general-purpose database (usually a relational database) that has been enhanced to include spatial data that represents objects defined in a geometric space, along with tools for querying and analyzing such data. Most spatial databases allow the representation of simple geometric objects such as points, lines and polygons.
Spatial data service - allowing the delivery of the data via the Internet; Processing services - such as datum and projection transformations, or the transformation of cadastral survey observations and owner requests into Cadastral documentation (Spatial) data repository - to store data, e.g., a spatial database
Oracle Spatial – Product allows users to perform geographic operations and store spatial data types in an Oracle environment. Most commercial GIS packages can read and edit spatial data stored in this way. SAP HANA – Allows users to store common spatial data types, load spatial data files with well-known text (WKT) and well-known binary ...
Such analysis would typically employ software capable of rendering maps processing spatial data, and applying analytical methods to terrestrial or geographic datasets, including the use of geographic information systems and geomatics. [71] [72] [73]
The field develops software and web services to model and analyse spatial data, serving the needs of geosciences and related scientific and engineering disciplines. The term is often used interchangeably with Geomatics , although the two have distinct focuses; Geomatics emphasizes acquiring spatial knowledge and leveraging information systems ...
Spatial extract, transform, load (spatial ETL), also known as geospatial transformation and load (GTL), is a process for managing and manipulating geospatial data, for example map data. It is a type of extract, transform, load (ETL) process, with software tools and libraries specialised for geographical information.
GIS data acquisition includes several methods for gathering spatial data into a GIS database, which can be grouped into three categories: primary data capture, the direct measurement phenomena in the field (e.g., remote sensing, the global positioning system); secondary data capture, the extraction of information from existing sources that are ...
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