Here you will get all details about “Map Layout and Graphical, Linear And Areal Scales”. We have listed Map Layout in detail here. You will get complete knowledge about Graphical, Linear And Areal Scales here. Keep Visiting – Vlcinfo.
Map Layout
The layout of a map includes graphical, linear, and aerial scales. It is very important for effective communication of spatial information.
Here is an detail of each scale below:
| Map Layout | Use |
|---|---|
| Graphical Scale | Visual representation of the relationship between distances on the map and actual distances on the ground |
| Linear Scale | Represents the relationship between a unit of measurement on the map and the equivalent unit on the ground. |
| Aerial Scale | Represents representative fraction for vertical scale |
1. Graphical Scale:
It is also known as the bar scale. It is a visual representation of the relationship between distances on the map and actual distances on the ground. It typically consists of a bar or line marked which represents specific distances.
Graphical Scale Representation:
It is usually placed in a corner of the map, generally at the bottom or side. It labels indicating the unit of measurement (like miles, km etc.).
Example:
A bar scale indicating distances in kilometers, with labels like “0 km,” “5 km,” “10 km,” etc.
2. Linear Scale:
It is also known as the representative fraction (RF). It is a ratio of scale of a map and the equivalent distance on the ground.
Linear Scale Representation:
It is often presented as a fraction, like 1:50,000. That means 1 unit on the map is equivalent to 50,000 units on the ground. It is generally placed near the title.
Example:
It might be expressed as 1:100,000. In which 1 cm on the map represents 100,000 cm (or 1 km) on the ground.
3. Aerial Scale:
It is also known as the representative fraction for vertical scale. It is used for aerial or satellite imagery. It represents the ration between distances in the image and real distances on the Earth’s ground surface.
Aerial Scale Representation:
It represents relationship between image pixels and ground distances.
Example:
It might have a RF of 1:10,000. In which 1 unit in the image (e.g., a pixel) represents 10,000 units on the ground.
