The Idiots Guide to Vector Data Models
The most basic guide to vector data models that you will ever read.
This article is going to strip a vector data model down to its fundamentals. They’re simple, but, we need to know the basics to move on.
Otherwise … you are going to be like this guy …
struggling in the middle of the field because you didn’t bother to learn the fundamentals.
Why should you trust me?
I am taking a class on GIS Software at the University of Toronto.
I am not an expert, but the material is quality and I can explain the concepts like a third-grader.
If I am wrong on anything, roast me in the comments. Medium is all about growth.
Super Simple Concept
A vector data model uses objects to represent real-world spatial features.
A spatial feature is a real-world representation of a geographic object.
It’s like kindergarten art class where I drew a triangle and called it a mountain.
3 spatial features to know …
- Point
- Line
- Polygon
Point
A point is an x and y coordinate that is plotted on a map.
Think of the icon that appears on google maps whenever you look up a location. That is a point.
A series of points can also be represented on a map.
Line
A line is a collection of points.
A simple line has two endpoints joined together.
A line can also be multiple points.
Polygon
A polygon is a series of lines that are connected to form a closed boundary.
A polygon can take on a variety of shapes.
Thus, polygons can be used to represent a variety of geographic features.
That’s it
This article is simple. The three basic features that comprise a vector model.
The concepts build up. GIS software can show us how the three spatial features can connect to one another. You’ll see more complicated maps like a series of points contained within a polygon. Or, multiple lines connected to one another forming a network.
But, for now, I’m focused on the basics. The ramp-up will come in due time, probably in the form of another article. So, be on the lookout.
