Label
Text or symbols placed on a map to identify features, such as city names or road numbers, aiding interpretation and communication of spatial information.
What does a Label represent?
In GIS, a label is text that is automatically added to a map to identify features like roads, rivers, cities, and borders. To improve readability and comprehension, it shows attribute data—such as names, IDs, or values—directly on the map.
Key Points:
Derived from attribute data, such as "Road Number" or "City Name."
Makes it easier to understand maps without having to click or ask questions.
Although placement is frequently automatic, it can be altered for appearance and clarity.
To put it briefly, a label serves as a visual cue that enhances the informativeness and usability of map features.
Related Keywords
The process of adding descriptive text to geographic objects on a map, including cities, rivers, highways, or land parcels, is known as GIS map labelling. By clearly distinguishing locations and qualities without overcrowding the map, effective labelling improves readability. Modern GIS software frequently use automated algorithms to arrange labels advantageously for clarity and aesthetic appeal. Labels can be adjusted in terms of text, size, colour, and positioning.
Text elements known as "digital map labels" are used to identify things like cities, roads, rivers, and landmarks on digital maps. They give context and clarity without overcrowding the map, facilitating users' rapid comprehension and navigation of spatial information. Depending on the zoom level and map scale, labels can change in size, position, and visibility.
Assigning relevant tags or attributes to geographic data, like maps, satellite photos, or drone photography, is known as spatial data labelling. Roads, buildings, plants, and water bodies may all be identified, categorized, and analysed by machines and GIS applications thanks to this labelling, which helps with activities like autonomous navigation, environmental monitoring, and urban planning. Training AI models and enhancing geospatial analysis decision-making both depend on accurate labelling.
The technique of properly identifying geographic features like cities, rivers, roads, and landmarks on a map by adding names, symbols, and descriptive text is known as cartographic labelling. It helps users understand spatial information by adhering to precise placement, size, and style guidelines that guarantee readability, accuracy, and visual balance.