data

Chart Marker
Dealing with complex Data

Chart Marker

What Problem Does This Solve? Clustering is limited to counts of features without the ability to visualize a second dimension within the data Why Use This Pattern? A common technique to avoid showing too many points on the map is clustering them into bubbles with numbers inside. This mechanism is effective to illustrate the amount […]

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Choropleth Map
Visualizing Data

Choropleth Map

What Problem Does This Solve? Visualize how a measurement varies across a geographic area. Why Use This Pattern? Choropleth maps provide an easy way to visualize how a measurement varies across a geographic area or show the level of variability within a region. When to Use This Pattern Choropleth maps are important to support analysis […]

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Data Extract
Input & Output

Data Extract

What Problem Does This Solve? Extract geographic data for a specific region. When to Use This Pattern User needs to acquire data for offline use or further manipulation and therefore requires the ability to extract a region of the results into a downloadable bundle. Depending on the nature of the data and the provider capabilities […]

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Cluster Marker
Dealing with complex Data

Cluster Marker

What Problem Does This Solve? Too many markers near each other start overlapping which makes them difficult to distinguish and interact with When to Use This Pattern Any application that needs to display point data across a wide range of scales will benefit from the cluster marker pattern. While it is often viable to render […]

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Spatial Filter
Dealing with complex Data

Spatial Filter

What Problem Does This Solve? Users are only interested in seeing features or results for a very specific region or area of interest. Why Use This Pattern? Location, location, location is not only the mantra in real estate but true for most consumer applications. People’s interest is many times constrained to a very specific geographic […]

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Attribute Filter
Dealing with complex Data

Attribute Filter

What Problem Does This Solve? Users need to narrow a concrete set of features by its attributes. When to Use This Pattern Filtering is a common way to reduce the amount of features displayed on the map and/or a grid. Allowing users to progressively remove what they are not interested in will inadvertently leave them […]

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Data Spotlight
Dealing with complex Data

Data Dimming

What Problem Does This Solve? The map contains too many features so that it is difficult to identify them, distinguish them, pick out relationships, see patterns in the distribution. Why Use This Pattern? The same location might be occupied by multiple features of different types and therefore visually obscure their existence. Data Dimming helps highlighting […]

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Extent-driven Content
Dealing with complex Data

Extent-driven Content

What Problem Does This Solve? A user wants to see points of interest within a given area as visually represented through the current map extent. Typically, the available options (results) update when the user changes the map extent through panning or zooming. When to Use This Pattern Sometimes called a ‘short list’ this pattern is […]

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Flowmap
Visualizing Data

Flowmap

What Problem Does This Solve? Data visualization with straight or geodesic lines have visual limitations. When to Use This Pattern Illustrate connections between points and their associated flow of something. Examples of such can be supply chain apps that show the flow of goods between depots, air travel, migration behavior, the spread of diseases or […]

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