What is difference between spatial and non-spatial data? Expalinn with examples.
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Answer.
Spatial vs. Non-spatial Data
1.Spatial Data
Data that define a location. These are in the form of graphic primitives that are
usually either points, lines, polygons or pixels.
· Spatial data includes location, shape, size, and orientation.
o For example, consider a particular square:
its center (the intersection of its diagonals) specifies its
location
its shape is a square
the length of one of its sides specifies its size
the angle its diagonals make with, say, the x-axis specifies its
orientation.
· Spatial data includes spatial relationships. For example, the arrangement
of ten bowling pins is spatial data.
2.Non-spatial Data
Data that relate to a specific, precisely defined location. The data are often
statistical but may be text, images or multi-media. These are linked in the GIS
to spatial data that define the location.
· Non-spatial data (also called attribute or characteristic data) is that
information which is independent of all geometric considerations.
o For example, a person’s height, mass, and age are non-spatial data
because they are independent of the person’s location.
o It’s interesting to note that, while mass is non-spatial data, weight is
spatial data in the sense that something’s weight is very much
dependent on its location.
It is possible to ignore the distinction between spatial and non-spatial data.
However, there are fundamental differences between them:
o spatial data are generally multi-dimensional and auto correlated.
o non-spatial data are generally one-dimensional and independent.
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Spatial vs. Non-spatial Data
1.Spatial Data
Data that define a location. These are in the form of graphic primitives that are
usually either points, lines, polygons or pixels.
· Spatial data includes location, shape, size, and orientation.
o For example, consider a particular square:
its center (the intersection of its diagonals) specifies its
location
its shape is a square
the length of one of its sides specifies its size
the angle its diagonals make with, say, the x-axis specifies its
orientation.
· Spatial data includes spatial relationships. For example, the arrangement
of ten bowling pins is spatial data.
2.Non-spatial Data
Data that relate to a specific, precisely defined location. The data are often
statistical but may be text, images or multi-media. These are linked in the GIS
to spatial data that define the location.
· Non-spatial data (also called attribute or characteristic data) is that
information which is independent of all geometric considerations.
o For example, a person’s height, mass, and age are non-spatial data
because they are independent of the person’s location.
o It’s interesting to note that, while mass is non-spatial data, weight is
spatial data in the sense that something’s weight is very much
dependent on its location.
It is possible to ignore the distinction between spatial and non-spatial data.
However, there are fundamental differences between them:
o spatial data are generally multi-dimensional and auto correlated.
o non-spatial data are generally one-dimensional and independent.
If it is helpful please mark it as brainliest
Answered by
14
Spatial Data is data that identifies or is directly or indirectly referenced to a geographic location on earth. These locations could be natural, man-made, in the oceans or in the atmosphere. It is also known as Geospatial Data. Examples are coordinates and topology.
Non-spatial Data is data that cannot be referenced or identified, to any location on earth or its surrounding atmosphere. It is just numbers, characters, or logical statements.
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