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A spatial query is a special type of database query supported by spatial databases, including geodatabases. The queries differ from non-spatial SQL queries in several important ways. Two of the most important are that they allow for the use of geometry data types such as points, lines and polygons and that these queries consider the spatial ...
There are also many different types of geodata, including vector files, raster files, geographic databases, web files, and multi-temporal data. Spatial data or spatial information is broader class of data whose geometry is relevant but it is not necessarily georeferenced, such as in computer-aided design (CAD), see geometric modeling.
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.
Because the world is much more complex than can be represented in a computer, all geospatial data are incomplete approximations of the world. [9] Thus, most geospatial data models encode some form of strategy for collecting a finite sample of an often infinite domain, and a structure to organize the sample in such a way as to enable interpolation of the nature of the unsampled portion.
Geospatial and hydrospatial analysis, or just spatial analysis, [70] is an approach to applying statistical analysis and other analytic techniques to data which has a geographical or spatial aspect.
The scale of the Web can sometimes make finding quality and reliable data a challenge for GIS professionals and end users, with a significant amount of low-quality, poorly organized, or poorly sourced material available for public consumption. [13] [14] This can make finding spatial data a time consuming activity for GIS users. [13]
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 ...
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 ...