This Map Displays the Optimal Times to Catch the Changing Leaves
Ellen Smith — August 30, 2017 — Lifestyle
References: smokymountains & mashable
The gorgeous fall foliage that characterizes the season seems to come and go in the blink of an eye, prompting one company to develop this foliage-predicting map, which as it suggests, predicts where and when the first signs of the season will appear.
Using a unique algorithm that incorporates "data points from the National Oceanic and Atmospheric Administration and from historical foliage trends," this map will let you know the perfect weekend for capturing those seasonal pumpkin patch photos. The map divides itself by country, offering seasonal trends in any part of the world. The interactive and informative tool was designed to ensure users have an enhanced opportunity of catching the peak colors each year, whether they're planning a family trip or romantic getaway.
Using a unique algorithm that incorporates "data points from the National Oceanic and Atmospheric Administration and from historical foliage trends," this map will let you know the perfect weekend for capturing those seasonal pumpkin patch photos. The map divides itself by country, offering seasonal trends in any part of the world. The interactive and informative tool was designed to ensure users have an enhanced opportunity of catching the peak colors each year, whether they're planning a family trip or romantic getaway.
Trend Themes
1. Foliage Prediction - Developing predictive algorithms and mapping tools to forecast the changing of leaves.
2. Seasonal Photography - Creating resources that help photographers and travelers capture the beauty of seasonal landscapes.
3. Interactive Mapping - Using interactive maps to provide real-time information on natural phenomena like changing foliage.
Industry Implications
1. Travel and Tourism - Integrating foliage prediction maps in trip planning platforms to enhance travel experiences.
2. Photography - Developing camera apps and photography resources specifically tailored to capturing seasonal landscapes.
3. Data Analytics - Building data-driven algorithms and mapping tools to predict and analyze natural phenomena.
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