Spatial Analytics
6 best practices for adopting AI in Spatial Analytics
Learn 6 best practices for integrating AI into spatial analytics. Establish a secure, scalable AI strategy to automate tasks and make confident decisions.
Using crime data & spatial analysis to assess home insurance risk
Discover how spatial analysis of crime data can be used for smarter home insurance decisions, including personalized underwriting & targeted marketing.











How to use SQL Parameters for more efficient decision-making
Make decisions more efficiently with SQL parameters. Follow this step-by-step guide exploring data-driven insights from Citi Bike analytics.
Self-service spatial analytics with user-defined parameters
Unlock Spatial Insights for non-expert users with User-Defined Parameters. Learn how to democratize geospatial data analysis for faster decision-making.











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.
CARTO Workflows are here: no code spatial analysis
Introducing CARTO Workflows - a no code tool for processing and analyzing spatial data! Unlock spatial analysis without needing to know SQL or Python.
How to calculate spatial hotspots and which tools do you need?
A comparison of the main spatial hotspot tools and which is best for your use case, including a guide on how to use and interpret these.
Tableau vs Power BI: Why you should stop using them for spatial analysis
Tableau vs Power BI: why these tools aren’t optimal for spatial analysis. Explore limitations & find solutions for handling complex geospatial data effectively.
Introducing CARTO Workflows: Spatial analytics for all users
CARTO Workflows provides a complete user interface for spatial analysis that leverages the power of spatial SQL and cloud data warehouses.
CARTO’s Ultimate Guide to Spatial Joins & Predicates with SQL
Get started with Spatial SQL with this guide to using spatial relationships.












Exploratory Data Analysis: UK retail centres
CARTO shares how you can use Exploratory Data Analysis to better understand your data and frame future analysis with CDRC’s latest dataset - UK Retail Centres
Ghost Kitchens: Predictive Location Intelligence
CARTO uses Location Intelligence to predict locations of one of the hottest trends in food delivery - ghost kitchens.
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.
Academy
Branch out: new control components for more resilient workflows
Discover CARTO Workflows’ new Conditional & Success/Error Split components to build flexible, resilient spatial analysis pipelines.











Cotality’s Location Intelligence Insights - now in CARTO
Explore Cotality’s US Location Intelligence data in CARTO - now available via Data Observatory for fast, actionable spatial insights at scale.











What’s New in CARTO - Q2 2025
Discover CARTO's Q2 2025 updates - new features for smarter maps, team collaboration, automation, and scalable spatial analysis in the cloud.