Search results
Results from the WOW.Com Content Network
In geographic information systems, a feature is an object that can have a geographic location and other properties. [1] Common types of geometries include points , arcs , and polygons . Carriageways and cadastres are examples of feature data.
The shapefile format is a digital vector storage format for storing geographic location and associated attribute information. This format lacks the capacity to store topological information. The shapefile format was introduced with ArcView GIS version 2 in the early 1990s. It is now possible to read and write geographical datasets using the ...
Raster data is stored in various formats; from a standard file-based structure of TIFF, JPEG, etc. to binary large object (BLOB) data stored directly in a relational database management system (RDBMS) similar to other vector-based feature classes. Database storage, when properly indexed, typically allows for quicker retrieval of the raster data ...
Shapefile – open, hybrid vector data format using SHP, SHX and DBF files (by ESRI) Spatial Data File – high-performance geodatabase format, native to MapGuide (by Autodesk ) TIGER – Topologically Integrated Geographic Encoding and Referencing
When working with geodatabases, it is important to understand feature classes which are a set of features, represented with points, lines, or polygons. With shapefiles, each file can only handle one type of feature. A geodatabase can store multiple feature classes or type of features within one file. [72]
GML defines features distinct from geometry objects. A feature is an application object that represents a physical entity, e.g. a building, a river, or a person. A feature may or may not have geometric aspects. A geometry object defines a location or region instead of a physical entity, and hence is different from a feature.
GeoJSON [1] is an open standard format designed for representing simple geographical features, along with their non-spatial attributes.It is based on the JSON format.. The features include points (therefore addresses and locations), line strings (therefore streets, highways and boundaries), polygons (countries, provinces, tracts of land), and multi-part collections of these types.
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.