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











How Iceberg, GeoParquet & CARTO are reshaping geospatial
Discover how GeoParquet, Iceberg, and CARTO are transforming geospatial analytics with cloud-native, scalable, and open data architectures.











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.











Introducing User Comments: boost collaboration in your maps
Boost team collaboration with User Comments in CARTO Builder—add, track, and resolve feedback directly on your enterprise maps.