Spatial.ai Blog
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5 Types of Location Data Sources (and their Pros and Cons)
Knowing what kind of data to use in your analysis is half the battle. Here's a brief overview of 5 major types of location data sources.
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July 5, 2018
Intalytics Forms Data Partnership with Spatial.ai
Intalytics incorporates Spatial.ai's social media data into their predictive modeling processes.
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April 3, 2018
Why Tracking #bikinis, #babies, and #versace Mentions Can Save Retail
Going beyond census data to inform retail location decisions.
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March 19, 2018
How to Predict the Best Neighborhood for a Retailer Within Any Market
Hint: it's more than demographics.
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February 16, 2018
Franchise Reduces the Amount of Error in their Site Revenue Predictions by 48%
How a dry cleaning franchise used geosocial data in their sales projections.
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January 18, 2018
Redefining Community Boundaries with Social Media Data
A more organic approach using geotagged social media data.
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November 7, 2017
With machine learning, you’ll know every city as if you grew up there
Using word vectors and natural language processing to find commonalities amongst cities and neighborhoods.
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September 28, 2017
Reshaping Cities to Fit Humans
How new data sources can build upon our understanding of cities and help them thrive.
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July 14, 2017
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