Spatial Data Science
Driving Decisions with Spatial Analysis: Vacation Rentals
Discover spatial trends in vacation rentals & relationships with land use, ft. tutorials on how to conduct this analysis and use it to drive decision-making.
Do you need to code for a career in data?
Exploring the role of coding in data careers | Do you need to learn, and which language is right for you? Low-code, SQL, Python, R, HTML & Javascript.
Using Spatial Composites for Climate Change Impact Assessment
Learn how to assess climate change risks with spatial composites; measure impacts and support decision-making for infrastructure & natural resources.
How Geographically Weighted Regression works
Find out what Geographically Weighted Regression (GWR) is, how it works, when to use it & how to use spatial indexes in conjunction.
How to Use Spatial Data to Create a Wildfire Risk Map
Mitigate wildfire risks with our guide on creating a Wildfire Risk Map. Explore spatial analysis using Weather Source & CARTO for informed decision-making.
Understanding Retail Store Clusters with Local Outlier Factor Analysis
“See how Local Outlier Factor can be used as a tool for understanding the spatial patterns of retail store locations."
Site Selection for Retailers Using Commercial Hotspot Analysis
Explore an alternative analytical approach to tackle site selection decision-making based on advanced statistical techniques for retailers.
Determine Optimal Store Locations using White Space Analysis
How do you determine where to open a new retail location? Discover how to use White Space Analysis & Spatial Data to make more informed decisions.
How to build a revenue prediction model with CARTO & BigQuery
Discover how to use CARTO's Analytics Toolbox for Google BigQuery to train a spatial predictive model to predict annual store revenues across a territory
Geographically weighted regression for spatial analysis in BigQuery
We are pleased to announce that the CARTO Analytics Toolbox for BigQuery now supports the Geographically Weighted Regression method–read about its usage.
How to Enrich POS Data to Analyze & Predict CPG Sales
Learn how to enrich & perform spatial modeling on retail point of sale data to analyze CPG sales & predict future performance in new locations
3 Spatial Data Science Trends to Watch in 2021
Geography is changing faster than ever before. Read our predictions for the key Spatial Data Science trends & industries to watch in 2021.
Academy
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.
Navigate global risk with MBI CONIAS Political Risk data
Monitor and forecast global political risks with MBI CONIAS data - spatial, predictive, and ready to support smarter decisions in volatile regions.