A heat map (or heatmap) is a geographical representation of data where the individual values contained in a matrix are represented as colors. The term 'heat map' was originally coined and trademarked by software designer Cormac Kinney in 1991, to describe a 2D display depicting financial market information, though similar plots such as shading matrices have existed for over a century. - Wikipedia
Geographical Heat Map is a great way to visualize data and get insights on which regions, areas and locations are most concentrated. It can help to support decision makings on new stores, new transport hubs, new distribution centers, new offices, shopping malls, etc, or decide where and how much to allocate resources.
It is visual and direct, easy to understand by everyone. Heatmap is a great tool for getting concesus and helps to convince the audience.
Maply supports weighted heat map from location layer. By default, each location will have a weight of 1. Applying a weight to a data point will cause the location to be rendered with a different intensity. The weight is a linear scale. Having a weight of 3, for example, is same as having three data points at the location.
Heat map, as well as cluster map, is part of the location layer. Once a location map is created, you can easily switch between different views to get new insights.
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