The point layer draws points for a given event or object based on its location coordinates: longitude and latitude. We have classified the map layers based on the number of features they render: Point For example, the commercial property team in an insurance company could use it to track the household/property owners who are making modifications to their properties or in different cases, geographic scientists use it to study changes in land cover. With a map layer, you see how various measures and metrics are changing over time. Maps are after representation of what is happening on the ground. For example, using map layers you could pin-point and evaluate only a handful of points or building in an area for your case. Map layers make it easier for you to work on a specific set of objects in your map. Layers make maps more contextual and help you focus on specific aspects like assets, roads, and points of interest. Visualizing and seeing the distribution of data in each region makes it easier to mine for deeper and specific information and make better decisions. Not only it makes data expression clearer and intuitive but makes the overlay of geographic data possible. Map layer forms the fundamental unit while doing analysis on maps. For example, a layer of points might be used for finding the start point of all Uber trips in San Francisco or a layer of arcs can be used to show all trips made by British Airways in a day. In layman terms, layer refers to the visualization of something on a map. They contain groups of points, lines, or area (polygon) features and define how a geographic dataset is symbolized on a map. Layers are mechanisms used to display geographic datasets on maps. So, if you are confused about when should you use a heatmap vs when you should use a grid-based layer, read on! Introduction In this piece, we go in-depth about the different types of map layers and which one you should pick depending on the use-case.
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