The Keyhole Markup Language (KML) is an XML-based file format used for displaying geographic data in Earth browsers such as Google Earth. One of its essential elements is the bearing property, which specifies the direction of an object or line relative to true north. Understanding and utilizing bearing in KML can greatly enhance the accuracy and comprehension of your geospatial visualization.
Bearing in KML is expressed in decimal degrees, ranging from 0 to 360. It represents the angle measured clockwise from true north to the direction of the object. For example, a bearing of 90 degrees indicates a direction directly east, while a bearing of 180 degrees points to the south.
The bearing property plays a crucial role in various applications, including:
Bearing can be specified in KML using the
element. The following code snippet shows an example:
90
To calculate the bearing between two points, you can use the following formula:
Bearing = arctan(Δy / Δx) + 90, if Δx
where:
When working with bearing in KML, avoid these common mistakes:
element with the calculated bearing value.1. Mapping Hiking Trails: Trail maps can include the bearing of each trail segment to guide hikers in the correct direction.
2. Analyzing Building Orientations: Architects and urban planners use KML bearing to study the orientation of buildings and optimize their energy efficiency.
3. Modeling Ocean Currents: Scientists use KML models with accurate bearings to simulate and visualize the direction of ocean currents.
1. The Lost Explorer: An explorer stumbled upon a strange map with bearings that led to a hidden treasure. However, he mistakenly used magnetic north instead of true north, resulting in a wild goose chase.
2. The Misaligned Fence: A homeowner hired a contractor to build a fence around their property. Unfortunately, the contractor misread the bearing and the fence ended up pointing in the wrong direction, creating a comical sight.
3. The Confused Compass: A group of hikers using a compass for navigation were baffled when their bearings kept changing. They later realized that their compass was malfunctioning and spinning randomly, leading them into a humorous maze of trails.
Mastering the use of bearing in KML enables you to create accurate and informative geospatial visualizations. Whether you're navigating a wilderness trail, analyzing urban landscapes, or visualizing scientific data, understanding bearing is essential for effective spatial representation. By following the guidelines outlined in this article, you can ensure that your KML models convey precise and meaningful information.
Orientation Property | Description |
---|---|
heading | Specifies the compass direction of the object |
tilt | Specifies the angle of the object above or below the horizontal plane |
roll | Specifies the angle of the object as it rotates around its own axis |
Unit | Conversion Factor |
---|---|
Radians | 1 radian = 57.2958 degrees |
Mils | 1 mil = 0.05625 degrees |
Application | Example |
---|---|
Navigation | Displaying flight routes and ship paths |
Architecture | Analyzing building orientations for energy efficiency |
Archaeology | Mapping excavation sites and historical features |
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