Spatial Data
The Ultimate Guide to OpenStreetMap & BigQuery
A guide to the pros & cons of OpenStreetMap geospatial data, and how to access it via Google BigQuery
Hexagons for Location Intelligence: Why, When & How?
“CARTO explains how using hexagonal grids in your location-based analysis can lead to more efficient analysis and greater insight."
What is Supply Chain Network Design and How Does It Work?
This grocery chain has 1,110 stores served by 8 distribution centers. We used location intelligence to optimize their supply chain, saving $1.1M in fuel and time costs.
Using Spatial Analysis to Measure UK Gentrification
Read how Spatial Analysis & Machine Learning were used by researchers at UCL to understand neighborhood real estate changes & shape policy making in cities.
CARTO Spatial Features, now with global urbanity, climatology, & elevation data
We are pleased to announce the release of a new version of CARTO Spatial Features, including new variables for urbanity level, elevation, & climatology
How Insurance Uses Location Data to Prepare for Natural Disasters
Embracing Location Intelligence can help insurers to reduce their exposure to risk, while preparing and offering policyholders better service and more varied plans that meet their needs.
3 Spatial Data Science Trends to Watch in 2018
Join us at the Spatial Data Science Conference on December 1st where we’ll discuss the biggest trends and challenges in spatial data science.
Find and fix underperforming retail markets with spatial data models
Discover why retailers are building market performance models with Location Intelligence in our latest post
Academy
Meet CARTO at Mobile World Congress 2023
We're excited to be attending Mobile World Congress 2023 in Barcelona! Join us to find out how we're helping Telco companies turn data into insight.
Calculating Routes at Scale using SQL on BigQuery
A guide to route optimization using Google BigQuery, a cloud-native & scalable alternative to PgRouting & Network Analyst.
Why use Data Warehouses for Geospatial Analysis
Why use BigQuery, Snowflake, Redshift & Databricks for geospatial analysis? Explore with a real-life example.