WeaCoDi

Weacodi is an alternative way to visualize the weather forecast, allowing you to assess atmospheric conditions in one second. Instead of complex numerical values, Weacodi uses an intuitive diagram to quickly convey how comfortable or uncomfortable the weather will be. This unique approach allows you to understand at a glance whether you should, for example, plan a walk or a workout.

Weacodi is based on the principles of human cognitive perception of weather conditions and multimodality. This approach uses various sensory channels for a more complete and intuitive understanding of the weather.

You can dive deeper into the concept in the documentation section.

Weacodi displays various weather parameters, such as:

• Sky condition (sunny, cloudy)
• Precipitation (rain, snow)
• Comfort level (calculated based on weather conditions)

This allows you to quickly "feel" the weather without spending time analyzing complex data.

Live Weacodi forecast below. It uses your browser location; if blocked, it defaults to Munich. Adjust the inputs and refresh to see how the chart reacts.

Latitude

Longitude

Days ahead

Sensitivity Normal Heat sensitive Cold sensitive

Units Metric Imperial Nautical

  Select on map

Update

Short name: Weacodi™, phonetic transcription: /wiːˈækədi/.

Ease of Perception: The main goal of the diagram is to provide the user with weather information without the need to read numerical values, which significantly simplifies decision-making regarding training or trips.

Combination of Graphs: The diagram consists of a set of combined graphs, which allows integrating various weather data into a single image, making it easier for the user to perceive.

Absence of Numerical Values: The diagram does not use numerical values, making it intuitive and accessible for users without specialized training.

Relative Values: The values on the Y-axis are relative and help the user quickly understand how comfortable or dangerous the weather conditions are without delving into details. The diagram consists of a set of combined graphs that display various weather parameters throughout the day. The Y-axis of the diagram reflects relative values answering the question, "How much? Is it maximally possible or not at all?" This allows visualizing different aspects of the weather without the need for specific numerical values. The X-axis of the diagram reflects time.

Visual Representation of Weather Conditions: The diagram displays various weather parameters, including sky, sun, cloudiness, rain, snow, as well as the calculated comfort level, providing the user with a comprehensive view of the weather conditions.

The diagram displays the following data (see picture):

• Day – displayed depending on the time of day (1).
• Night – displayed depending on the time of day (black color area).
• Sun – the amount of sunlight, taking the time of day into account (2).
• Clouds – shows the presence and density of clouds, from a few clouds to a complete overcast (3).
• Rain – displays the presence of precipitation, including the probability and intensity of rain (4).
• Snow – displays the presence of snow, including the probability and intensity of snowfalls (5).
• Calculated comfort level (optional) – determined based on weather conditions, taking into account the time of year, showing comfort for cycling and training depending on the current conditions (6).
• Other relative values, for example, wind speed, where the maximum value "very windy" and minimum value "no wind at all" are relative and depend on the current application requirements.

Particular attention should be given to the line on the graph representing the "comfort level." This parameter is calculated using a unique algorithm that takes into account all weather data, including the sun, cloudiness, rain, and snow, as well as seasonal changes. The maximum comfort level means "very comfortable," the minimum means "absolutely uncomfortable, dangerous," and the average means "normal comfort level."

With this diagram, the user can instantly get an answer to the question: "Is the weather comfortable?" without the need to read numerical values. This simplifies the decision-making process of whether it’s worth going for a walk, training session or a ride.