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Contrast to spatial scale. A small-scale map cover large regions, such as world maps, continents or large nations. In other words, they show large areas of land on a small space. They are called small scale because the representative fraction is relatively small. Large-scale maps show smaller areas in more detail, such as county maps or town ...
Cartographic scale or map scale: a large-scale map covers a smaller area but embodies more detail, while a small-scale map covers a larger area with less detail. Operational scale: the spatial extent at which a particular phenomenon operates. E.g. orogeny operates at a much larger scale than the formation of a river pothole does.
In most European countries, the largest scale topographic map series is a 1:25.000 scale series. Notable exceptions are Austria (1:50,000) and Finland (1:20,000). Many non-European states limit the largest scale of their map series, usually to 1:50,000 scale, frequently due to the large size of the country covered (and hence for financial reasons).
Generalization: All maps must be drawn at a smaller scale than reality, requiring that the information included on a map be a very small sample of the wealth of information about a place. Generalization is the process of adjusting the level of detail in geographic information to be appropriate for the scale and purpose of a map, through ...
This issue assumes more importance as the scale of the map gets smaller (i.e. the map shows a larger area) because the information shown on the map takes up more space on the ground. For example, a 2mm thick highway symbol on a map at a scale of 1:1,000,000 occupies a space 2 km wide, leaving no room for roadside features.
(The usage large and small in relation to map scales relates to their expressions as fractions. The fraction 1/10,000 used for a local map is much larger than the 1/100,000,000 used for a global map. There is no fixed dividing line between small and large scales.) A scale model is a representation or copy of an object that is larger or smaller ...
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From this large-scale data, it should ideally be possible, through automated generalization, to produce maps and other data products at any scale required. The alternative is to maintain separate databases each at the scale required for a given set of mapping projects, each of which requires attention when something changes in the real world.