Introduction
As data is more and more widely used in various industries, everyone gradually realizes the important role of data visualization in the production and operation of enterprises. In the process of data visualization, charts are an important part of data processing, because they are a kind of A method of compressing large amounts of data into an easily understandable format. Data visualization allows audiences to quickly get to the key points.
Today, the editor of Numerical will introduce the type of data visualization chart - "map class" chart.
About Chart- About Chart
Understanding data requires skills. Maybe we can't quickly remember a series of complex data, nor can we understand the relationship and trend between them. However, we can use tools to visualize data. Visual charts can help us understand data better. , passing the data value.
#1 Map Class — Geographic Heatmaps
A geographic heatmap is a geographic representation of data that demonstrates where something is happening, specifying high and low density areas of the data. Unlike choropleth maps, geographic heatmaps do not limit the displayed geospatial data to specified boundaries. Thus, using the location radius of the data, it can cover small, specific geographic areas, as well as large areas, such as oceans or coasts. It uses color to highlight areas of occurrence.
#2 Map Class — Zonal Statistical Map
A choropleth map is a map in which different administrative areas are colored (or shaded) according to their numerical magnitude. The main difference between a choropleth map and a geographic heat map is that choropleth maps use boundaries to define areas, such as countries, states, or neighborhoods. A common example of using a choropleth map is the visualization of population density.
#3 Map Class — Point Map
Point maps are one of the easiest ways to visualize geospatial data. Basically, place a point anywhere on the map that corresponds to the variable being measured (e.g. a building, eg a hospital).
It's great for showing distribution and density patterns of things, but it requires you to accurately collect or geocode location data so you can precisely identify each location on the map. Point techniques can be difficult to use for large-scale maps because points may overlap each other at some zoom levels.
#4 Map Class — Proportional Symbol Maps
This is a variant of the point map. It uses circles or other shapes to represent data at specific locations. However, depending on the size and color of the points, it can be used to represent multiple other variables at once (such as population or average age).
This makes proportional symbol maps good at conveying multiple types of information simultaneously. However, they can still suffer from the same problem as point maps: trying to cram too many data points onto a large-scale map, especially in small geographic areas, can lead to overlap.
#5 Map Class — Hexagonal Binning Map
A hexagonal map is another choropleth map variation that divides geographic areas into a grid of regular hexagons and derivative shapes. This makes it easy to create continuous shapes while still accurately covering land areas. Each cell in the grid is then given a color or shade to represent the value of the variable, just like in a regular choropleth chart.
This type of visualization of geospatial data provides a fine balance between accurately mapping a granular set of data points without compromising accuracy by converting discrete data to continuous data. However, it is difficult to scale up or down without merging or detaching cells.
#6 Map Class — Topographic Maps
A topographic map is another fairly standard form of map for geospatial data. Typically, topographic maps are used to represent physical land features distributed over an area. These include terrain elevation (especially mountains, volcanoes, and other high landmarks) and river systems. They can also include man-made objects such as roads, railways or other transportation networks.
#7 Map Class — Path Map
Path diagrams are a more specialized version of line diagrams. Instead of focusing on the physical characteristics of the Earth, they are used to represent the movement of things across the Earth over time. These may include the movement of humans or animals, resources and other goods for trade, vehicular traffic and weather patterns (especially severe storms such as hurricanes). They are usually structured as collections or pairs of source and target data points.
#8 Map Class — Data Spatial Distribution Map
This is another variation of flowcharts, and it's designed not only to represent the movement of things over time, but also how the variables that depend on that movement change over time.
#9 Map Class — Spider Map
A spider graph is a variant of a flow graph. Instead of focusing on discrete pairs of origin and destination data points, a spider diagram looks at the relationship between origin and multiple destination points - some of which may be in common.
An example of a spider map might be a route map for a bus, tram, subway, train, or other mode of transportation that has a series of predetermined stops between multiple vehicles. You can also use the spider map to show how often shared vehicles, such as bikes or scooters, are picked up from specific stops and dropped off at others.
Summarize
To sum up, map charts are used to display data in geographical areas, with the map as the background, and the geographical location of the data is represented by the position, size, and color of the graph;
Knowing about data visualization "map class" charts, are you eager to try it? If you want to quickly create beautiful and suitable data visualizations for your data, you can try to design them in the Sovitchart online data visualization tool, and you can easily create ones that meet your needs chart.