Weather at the Neighborhood Level
Geospatial data provider Maponics has released a new product in its suite of lifestyle and behavioral analytics offerings which uses a sophisticated statistical model to generate a comprehensive climate data model for the entire U.S., including more than 150,000 neighborhoods.
The Maponics model provides accurate information about temperature, precipitation, cloud cover and more at weather stations, airports and local neighborhoods by applying a geographically weighted regression to model weather and climate conditions..
“As part of our focus on providing data about real-world conditions, we wanted to accurately reflect climate at the neighborhood level – not just at weather stations, which are often placed in outlying sections of a metro region,” said Darrin Clement, Maponics CEO. “We’re delighted with the accuracy of results we obtained using a geographically weighted regression model for this product.”
So, how can the technology be used? The Weather Scores product has a variety of use cases according to Maponics, particuarly in the real estate, social media and travel industries, among others. “Our Weather Scores product answers home buyers' questions like, 'What is the difference between living in the mountains versus choosing a home in the lower elevations of a particular city, like Phoenix?' The methods we used capture that level of granularity very well,” said Michael Villarreal, Context Product Manager.
Past Coverage of Maponics at Website Magazine: