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Mansoor Ahmed
Mansoor Ahmed

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Introduction of Vector Data

There are three changed means to think about vectors. A vector as;

An array of numbers (a computer science vision)
An arrow with a direction and magnitude (a physics outlook)
An object that follows addition and scaling (a mathematical view)
In this article, we will understand about Vector Data in detail.

Vector data provides particular features on the Earth’s outward.
It allocate attributes to those features.
Vectors are composed of separate geometric locations (x, y values).
These are recognized as vertices that describe the shape of the spatial object.
The group of the vertices describes the type of vector.
That we are working with as point line or polygon.
Introduction of Vector Data
Each point is well-defined by a particular x, y coordinate.
There may be several points in a vector point file.

Sampling locations
The site of individual trees
The position of survey plots.
Lines are composed of various points that are related. At least two points are needed.
For example, a road and a stream can be denoted by a line.
This line is composed of a sequences of segments.
Each curve in the road and a stream signifies a vertex that has defined x, y location.
A polygon contains of three or more vertices that are linked and wrapped.

The shapes of survey plot boundaries
Outline of lakes
Sketch of oceans
States or countries
Vector data in GIS environment
Maximum GIS applications collection vector features into layers.
Features in a layer have the similar geometry type such that they would all be points.
They have the equal types of attributes such that information about what classes a tree is for a trees layer.
For instance if we have logged the positions of all the footpaths in our school, they would generally be kept on the computer hard disk.
Those will be shown in the GIS as a single layer.
This is suitable as it permits us to hide or show all of the features for that layer in our GIS application with a single mouse click.
Cutting out vector data
The GIS application will permit us to make and adapt the geometry data in a layer.
This process is named digitising.
The GIS application will merely permit us to make new polygons in that layer if a layer comprises polygons.
Likewise, the application would only permit us to do it if the altered shape is correct and if we want to change the figure of a feature.
For instance it won’t let us to edit a line in such a way that it has only one vertex.
As all lines must have at least two vertices.
Making and editing vector data is a vital function of a GIS.
Ever since it is one of the core means in which we can make personal data for things we are interested in.

We are observing pollution in a river.
We could use the GIS to digitise all vents for storm water drains.
We could similarly digitise the river itself as a polyline feature.
Lastly we could take readings of pH levels beside the course of the river.
Digitise the spaces where we made these readings as a point layer.
There is many free vector data that we can obtain and use on top of making our own data.
We can get vector data for instance that seems on the 1:80 00 map sheets from the Chief Directorate: Surveys and Mapping.
Pros and Cons of Vector Data

The geometry that one covers data about what the dataset maker said was vital.
The geometry structures grip facts in themselves.
For example why select point over polygon?
Each geometry feature may carry many attributes in place of just one.
For example, a database of cities may have qualities for name, country, and population.
Data storage can be very well-organized likened to rasters

Possible loss of part likened to raster.
Potential prejudice in datasets. What didn’t become recorded?
Designs linking many vector layers essential to do math on the geometry along with the attributes, therefore can be slow related to raster math.
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