Spatial Analytics
Live maps with automated Workflows integrations are here
Create live, always-updated maps with CARTO by integrating Workflows and Builder. Automate geospatial analysis to visualization in one step.
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.
London vs New York: Which city has the higher average building height?
The City vs Wall Street. Piccadilly Circus vs Times Square. The answer will surprise you as we discover through maps & visualization.









Online Grocery Shopping - Route Optimization & Spatial Analysis during COVID19
How can online grocery shopping businesses use spatial analysis & route optimization to optimize through panic-buying? We explore real-life examples.
Academy











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.











Create your expansion strategy with CARTO and Snowflake
Learn how CARTO and Snowflake help you build a winning expansion strategy. Pinpoint ideal locations, leverage spatial analytics & AI for confident growth.
Personalizing services with spatial analytics in Google Cloud
Personalize services at scale with spatial analytics on Google Cloud. Learn how to boost ROI using CARTO for location-based insights.