Weather-Related Data Visualization

Weather plays a significant role in various aspects of our lives. GeoMapVision is at the forefront of visualizing weather-related data, especially when it’s linked to geographic regions. Our primary focus is on predicting fires. Based on our extensive experience in monitoring fires and analyzing fire-related data, we create machine learning models that enhance our predictive capabilities.

Currently, we provide data on a grid of 1km x 1km, with future models working with predictions on a 100m x 100m grid for any region. We take into account many parameters that go into predicting the risk of fire and the Fire Weather Index, such as:

• Topography: The physical features of the land, including elevation, slope, and aspect, which influence fire behavior and spread.
• Vegetation: The type, density, and moisture content of vegetation, which serve as fuel for fires.
• Anthropogenic Factors: Human activities and infrastructure that can contribute to fire ignition and spread, such as urban development, agricultural practices, and transportation networks.
• Climate Factors: Weather conditions, including temperature, humidity, wind speed, and precipitation, which affect fire risk and behavior.

We create interactive maps and forecasts to help individuals and organizations make informed decisions. By enriching data with our features, we provide valuable insights through our visualizations.