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  2. Geographic information system - Wikipedia

    en.wikipedia.org/wiki/Geographic_Information_System

    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 ...

  3. Data model (GIS) - Wikipedia

    en.wikipedia.org/wiki/Data_model_(GIS)

    Time-stamped features, in which the dataset includes features valid at a variety of times, with each feature stamped by the time during which it was valid (i.e., by "start date" and "end date" columns in the attribute table.). Some GIS software, such as ArcGIS Pro, natively supports this model, with functionality including animation.

  4. Geographic data and information - Wikipedia

    en.wikipedia.org/wiki/Geographic_data_and...

    Location information (known by the many names mentioned here) is stored in a geographic information system (GIS). There are also many different types of geodata, including vector files, raster files, geographic databases, web files, and multi-temporal data.

  5. Geographic information science - Wikipedia

    en.wikipedia.org/wiki/Geographic_information_science

    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.

  6. Geographical feature - Wikipedia

    en.wikipedia.org/wiki/Geographical_feature

    Attributes, characteristics of a feature other than location, often expressed as text or numbers; for example, the population of a city. [19] In geography, the levels of measurement developed by Stanley Smith Stevens (and further extended by others) is a common system for understanding and using attribute data.

  7. Shapefile - Wikipedia

    en.wikipedia.org/wiki/Shapefile

    The shapefile format can spatially describe vector features: points, lines, and polygons, representing, for example, water wells, rivers, and lakes. Each item usually has attributes that describe it, such as name or temperature .

  8. Object-based spatial database - Wikipedia

    en.wikipedia.org/wiki/Object-based_spatial_database

    While a field-based data model sees the world as a continuous surface over which features (e.g. elevation) vary, using an object-based spatial database, it is easier to store additional attributes with the objects, such as direction, speed, etc.

  9. Georelational data model - Wikipedia

    en.wikipedia.org/wiki/Georelational_data_model

    As the GIS industry grew to incorporate more casual users, the inherent complexity of the coverage data structure became a concern. When Esri released ArcView GIS 2.0 in 1992, it introduced the new shapefile format for vector data. This was a much simpler data model, eliminating features such as topology, but was still a georelational design.

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