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How to Use Spatial Data to Create a Wildfire Risk Map
Wildfires can be detrimental to urban and rural areas, causing impacts in the form of injury, death and property loss. In fact, recent studies (here and here) have shown a ...
Spatial Data -
Hexagons for Location Intelligence: Why, When & How?
You’ve probably seen hexagon grids on maps, and maybe even created some of your own. But have you ever stopped to think about why? This is CARTO’s definitive guide to hexag...
Spatial Data -
Locating High Performing Retail Expansion Sites
When it comes to retail site selection applications, a common task consists of combining data from different sources to compare the characteristics of target locations and ...
Spatial Data -
Understanding Retail Store Clusters with Local Outlier Factor Analysis
The retail landscape of a city is a complex and intricate one. A store’s success or failure depends heavily on its location; whether it is in a busy area, has a strong loca...
Spatial Data -
Dark Store Site Selection: How Geospatial Data Can Help
In New York City, a number of companies such as 1520, Fridge No More, JOKR and BUYK have started offering local grocery delivery in 15 minutes from dark stores. As these se...
Spatial Data -
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
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
