Sunday, August 1

Difference Between 2D and 3D Mapping

As a writer, it’s enjoyable to make the most of that power to engage and excite your target market. Yet when should you use 2D maps versus 3D map [แผนที่ 3D, which is the term in Thai], and how do you obtain the most out of each? An even better question to ask is, For a given dataset or communication task, how do we understand when to use which? Let’s discover these questions.

What follows is not a step-by-step tutorial on how to make these maps. I want to share some of the editorial thought procedures that we utilize on the Maps group, as well as how we overcome the advantages and disadvantages of 2D as well as 3D maps. Looter alert: This isn’t a simple black-and-white list or yes/no decision tree with a clear winner. Instead, cartographic choices such as this inevitably entail a collection of compromises.

Some history

2D and 3D are wide categories that include lots of kinds of maps. This topic conveniently fills up numerous books, so what adheres to is really compressed. Normally talking, a 3D map extrudes the map into the third dimension, what is often called the z-dimension, either because it is a) directly representing 3D things like buildings, mountains, or the world itself, or b) symbolically representing data which can be envisaged as having the third dimension.

We mention “information surface areas” in cartography that do not have valleys and hills; however, do have theoretical ones. As an example, we can think about geographic sensations like light air pollution, or unemployment, or housing costs, as a conventional 2D map, or we can imagine them as a 3D surface area. On the map over, cities with their solid lights are mountains as well as uninhabited areas are plains and valleys. The same idea of mountains as well as valleys can put on housing costs or unemployment rates. In all of these situations, 2D, as well as 3D, are valid depictions of the same data. Yet they make your mind operate in various means and also, the fundamental part, one isn’t necessarily better. They’re simply better suited to various jobs. No map can do every little thing for every person, therefore, be purposeful in your selections.

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