Spatial Data Science
Boost your Spatial Analytics with Snowflake ML in CARTO
Discover how Snowflake ML in CARTO simplifies machine learning for spatial analytics. Easily build, train, and deploy forecasting models in your workflows.
Build A Clicks-to-Bricks Strategy Using Spatial Data Science
For online-native retailers eyeing growth and expansion, a clicks-to-bricks strategy using geospatial analytics can mitigate risk in site planning
Predicting Collisions in NYC with New Data Streams and Spatial Analysis
For traffic engineers and analysts looking to tackle major challenges, such as reducing the number of car crashes in their city, new data streams and spatial data science are critical
Using Spatial Interaction Models to Predict Behaviors
A spatial interaction model is specifically used to map and model the interactivity between various factors in distinct locations. This makes it extremely useful to understanding any data you might have with more than one location component.
Why spatial analysis is key to ending pharmacy deserts and the opioid epidemic
Learn to apply different types of spatial analysis to location data to determine whether or not community pharmacies are accessible in our latest post
Academy
Telco dashboards: Turning accessible data into actionable insights
Discover how CARTO enhances data accessibility, empowering decision-makers with actionable insights to improve network access for senior citizens and communities.
The first 5 maps everyone needs to make with CARTO
New to CARTO? Start with these 5 essential maps! Learn how to analyze proximity, work with big data, integrate real-time updates, and leverage AI-driven insights.











Unlock raster analytics & visualizations - now in your lakehouse!
Unlock raster analytics in your lakehouse! Analyze & visualize raster data natively in CARTO for unmatched scalability, efficiency & cost savings.