A. Spatial Data Model
GIS is the data that controls the spatial data. Any functionality that makes the GIS environment is distinguished from other analyzes is that rooted in the authenticity of spatial data [Hur03].
Explain the phenomenon of spatial data related to geographic location relative to the earth's surface (georeferenced) digital format from the appearance of the map, the shape coordinate points, and symbols that define the elements of drawing (cartography), and is associated with the attribute data stored in tables -table for an explanation of the spatial data (georelational data structure).
Spatial data models fall into two basic categories, namely model vector data and raster data model. The following will explain both the spatial data model.
A.1 Vector Data Model
Vector data model represents each feature into a row in the table and form features defined by the point x, y in space. These features may have different characteristics or location of points, lines or polygons. [Hur03].
Locations such as customer address is represented as a point which has a pair of geographic coordinates. Lines, such as rivers or roads, represented as a series of coordinate pairs. Polygon defined by the boundary and is represented by a closed polygon. All that can be defined legally, such as packages of ground; administrative, such as counties. When analyzing the data vector, most of the analysis involves the attributes of the table data layer.
Three kinds of vector data model is:
A. Point (point)
Point is the simplest graphical representation for an object [Hur03]. This representation does not have the dimensions but can be identified on the map and can be displayed on the monitor screen by using symbols.
Object representation point
2. Line (line)
The line is a linear form that will connect at least two points and used to present the two-dimensional objects [Hur03]. Objects or entities that can be represented by lines such as roads, rivers, power lines, water lines.
Object representation of lines
3. Polygons (polygons)
Polygons used to represent two-dimensional objects, eg: Island, the administrative area, the boundaries of land parcels is an entity that is generally represented as a polygon. At least one polygon bounded by three lines of three points that converge to form the field. Polygon has a broad spatial properties, roving isolated or connected to the other, incised (pun intended), and overlapping.
A.2 Raster Data Model
Raster data model represents features in the form of a continuous matrix. Each layer represents one attribute (although other attributes can be incorporated into the cell matrix). Spatial entities are stored in the raster layer functionality that is related by elements of the map. Examples of raster spatial entities are sources of satellite imagery (eg Ikonos).
Representation Raster Data
B. Non-Spatial Data Model
Non-spatial data is data that represent aspects of the description of the phenomenon being modeled that includes items and properties, so that the information submitted will be more diverse. Examples of non-spatial data are: Name of the District, total population, number of male population, number of female residents, district name, address of government offices, web site address, name of the mountain.
GIS is the data that controls the spatial data. Any functionality that makes the GIS environment is distinguished from other analyzes is that rooted in the authenticity of spatial data [Hur03].
Explain the phenomenon of spatial data related to geographic location relative to the earth's surface (georeferenced) digital format from the appearance of the map, the shape coordinate points, and symbols that define the elements of drawing (cartography), and is associated with the attribute data stored in tables -table for an explanation of the spatial data (georelational data structure).
Spatial data models fall into two basic categories, namely model vector data and raster data model. The following will explain both the spatial data model.
A.1 Vector Data Model
Vector data model represents each feature into a row in the table and form features defined by the point x, y in space. These features may have different characteristics or location of points, lines or polygons. [Hur03].
Locations such as customer address is represented as a point which has a pair of geographic coordinates. Lines, such as rivers or roads, represented as a series of coordinate pairs. Polygon defined by the boundary and is represented by a closed polygon. All that can be defined legally, such as packages of ground; administrative, such as counties. When analyzing the data vector, most of the analysis involves the attributes of the table data layer.
Three kinds of vector data model is:
A. Point (point)
Point is the simplest graphical representation for an object [Hur03]. This representation does not have the dimensions but can be identified on the map and can be displayed on the monitor screen by using symbols.
Object representation point
2. Line (line)
The line is a linear form that will connect at least two points and used to present the two-dimensional objects [Hur03]. Objects or entities that can be represented by lines such as roads, rivers, power lines, water lines.
Object representation of lines
3. Polygons (polygons)
Polygons used to represent two-dimensional objects, eg: Island, the administrative area, the boundaries of land parcels is an entity that is generally represented as a polygon. At least one polygon bounded by three lines of three points that converge to form the field. Polygon has a broad spatial properties, roving isolated or connected to the other, incised (pun intended), and overlapping.
A.2 Raster Data Model
Raster data model represents features in the form of a continuous matrix. Each layer represents one attribute (although other attributes can be incorporated into the cell matrix). Spatial entities are stored in the raster layer functionality that is related by elements of the map. Examples of raster spatial entities are sources of satellite imagery (eg Ikonos).
Representation Raster Data
B. Non-Spatial Data Model
Non-spatial data is data that represent aspects of the description of the phenomenon being modeled that includes items and properties, so that the information submitted will be more diverse. Examples of non-spatial data are: Name of the District, total population, number of male population, number of female residents, district name, address of government offices, web site address, name of the mountain.