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Site Selection for Retailers Using Commercial Hotspot Analysis
One of the most impactful applications of spatial data and analytics is in the area of retail site selection. Retailers continue to evaluate their network of brick-and-mort...
Spatial Data -
What You Should Know About Spatial SQL
Traditionally, spatial analysis has been behind the rest of the analytics world when it comes to features and capabilities. However, this is no longer the case due to the r...
Spatial Data -
Determine Optimal Store Locations using White Space Analysis
As brick & mortar retailers, and the CPG categories they distribute, look to expand their footprint, network planners need access to insightful analysis and modeling te...
Spatial Data -
dataPlor's International POI Data now available in CARTO
Emerging markets present some of the most exciting opportunities for companies looking to grow their brand, market share, and revenue.
Spatial Data -
How to Enrich Spatial Analysis on BigQuery, Snowflake, & more
Making access to spatial datasets as frictionless as possible is core to our mission of increasing the efficiency of analysts and data scientists working with spatial analy...
Spatial Data -
How to build a revenue prediction model with CARTO & BigQuery
Sales forecasting and revenue prediction have become increasingly important to retailers during the past two years as store owners have had to rapidly react to evolving con...
Spatial Data -
Explore Open Buildings with CARTO Spatial Extension for BigQuery
Google recently released the Open Buildings dataset, including 516 million building footprints covering 64% of the African continent. Each building is described as a polygo...
Spatial Data -
CARTO Spatial Features, now with global urbanity, climatology, & elevation data
In late 2020, we released our first derivative data product, CARTO Spatial Features, providing global demographic data and Point of Interest (POI) aggregations by category....
Spatial Data -
Uncovering Site Selection Strategies using Point of Interest Data
In the U.S. it can cost more than $1 million to open a McDonald’s, Taco Bell, Burger King, or Wendy’s restaurant. With such high levels associated with funding startup cost...
Spatial Data -
CKDelta’s international human mobility data now available in CARTO
Over the past year the importance of human mobility data has increased significantly, not only as a means to analyze how to mitigate the spread of Covid; but more recently ...
Spatial Data -
Making Human Mobility Models Fair, Inclusive, & Private
Late in 2020, we announced the creation of CARTO’s Scientific Committee to double down on our efforts to make the work of Spatial Data Scientists more productive and to hel...
Spatial Data -
The Data Appeal Company POI & Sentiment Data now available in CARTO
What influences you the most when it comes to choosing where you might book a table at a restaurant? Is it simply a casual glance at the overall rating of the establishment...
Spatial Data
Academy
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State of the Art Styling in CARTO VL
One of the most welcomed features of modern vector renderers is the performance advantage they bring to the table. While SVG and Canvas renderers have been developed in the...
Core Tech -
Find and fix underperforming retail markets with spatial data models
Although the landscape has drastically transformed over the last decade, retail analytics have not kept pace which is causing some retailers to close the wrong store locati...
Spatial Data -
Introducing CARTOframes: A Python Interface for CARTO
It’s with a lot of pride that we’re releasing CARTOframes, a Python package for interacting with CARTO that’s built specifically with data scientists in mind.
Core Tech
