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There are different GIS maps for different visualization needs. These maps are attractive and convenient to use
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Applied Technology Review | Wednesday, August 11, 2021
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There are different GIS maps for different visualization needs. These maps are attractive and convenient to use.
Fremont, CA: GIS maps can change real-world geospatial data into colored patterns or shapes. It accelerates information comprehension for better decision-making. A spatial analysis measures the distance between the geospatial points containing latitude and longitude to understand the planet better. GIS professionals can use this technology to demographic facts and other data.
There are five types of GIS maps that are used according to the different visualization needs:
Category maps
GIS category maps help to understand which portions on the map match with which data segment. Category maps are very easy to create, and so they are the most common type of GID mapping. Each category has a different color in category maps, which makes it a convenient map to use.
Heat maps
GIS heat map is used when the represented data on the map is highly dense and mixed up. It uses universally accepted colors (red for hot and blue for cold) to give an idea about the warm and cold regions on the map. It is not always accurate, but it provides a rough idea about the quantity distribution.
Cluster maps
Cluster map uses colors, shapes, and labels to combine all the dense points of the data together. There are various points on a GIS map that are displayed individually. Cluster map combines all the points in a single cluster point.
Bubble maps
GIS maps explain the relationship between quantities and location by using shapes of different sizes to represent numerical data. For example, a big bubble on the map will represent a large number of people, and a small bubble would represent fewer people in a particular area. Bubble maps are attractive to the user as they signify data using bubbles instead of a numerical representation.
Quantity maps
GIS quantity map is a color-coded map, which uses multiple shades of a color to display the variety in quantities of the data represented on the map. A quantity map is a perfect solution for visualizing detailed data that is spread over a wide area.