non-spatial data structure—hierarchical, networking and relationalDifferent sources of spatial and non-spatial databases Types of GIS database—spatial and non-spatial Representation of spatial features of the Earth's surface by vector and raster data structures (point, line and Polygon) Advantages ...
Open source PostGISadds spatial objects to the cross-platform PostgreSQL database. The three features that PostGIS delivers to PostgreSQL DBMS are spatial types, indexes, and functions. With support for different geometry types, the PostGIS spatial database allows querying and managing information abo...
Also, spatial data are multidimensional, spanning several different albeit correlated data, whereas nonspatial data are typically one-dimensional. GISs make an important distinction between spatial data and nonspatial data, because spatial data require extra details to be considered when implementing GIS...
the help of spatial data analysis, you can do just that: put the wealth of data at your disposal on the map to gain meaningful insights and make profitable decisions. But, in order to be able to perform such an analysis, it is important to be educated on how to work with GIS tools....
There are three common spatial data models being used in GIS today: vector, raster, and triangulated irregular network (TIN). Avector data modeldefinesdiscrete objects using points, lines, and polygons, each composed of coordinates and attributes. Examples of discrete objects are fire hydrants, ro...
Spatial data might contain additional information or nonspatial data known asattributes. An attribute is usually a piece of information that describes a feature. Spatial data can have any number of attributes about a location, such as a map, photographs, historical information and so on. ...
Cartogramsdistort the shape and size of geographic areas to represent a particular data variable. For example, a high population value will enlarge the size of a polygon. Cartograms come in different styles. For example, there are density-equalizing, Dorling, and non-contiguous cartograms. No ...
One thing to try might be building a Query Layer in the map document before publishing the service. The query layer would need to be a join between your spatial data and your non-spatial data. Otherwise, you can build a spatial view at the RDBMS level using ...
Esri’s GIS software is the most powerful mapping & spatial analytics technology available. Learn about Esri’s geospatial mapping software for business and government.
stringent quality control system throughout the entire process, which ensures the authenticity, reliability and accuracy of data, thus providing reliable geological support for sustainable economic development, urban planning, construction, ecological preservation and major engineering projects in corresponding ...