Spatial Data Science
Predicting Traffic Accident Hotspots with Spatial Data Science
Road traffic injuries are a leading cause of death & have a big economic effect. Read how Spatial Data Science can identify dynamic hotspots & reduce accidents.
How Socioeconomic Factors relate to Mobility during COVID-19
A detailed geospatial analysis of how changes & regional disparity in human mobility during the COVID-19 lockdown can be related to socioeconomic indicators.
Announcing CARTO & Thinking Machines partnership
We are excited to announce that Thinking Machines a Data Science consulting firm specializing in geospatial, are now CARTO partners.
How Location Data Streams Can Be Used to Fight Against COVID-19
A look at how spatial data & analytics can become insightful resources to those designing, monitoring & optimizing responses against COVID-19.
Top 3 Insights from The State of Spatial Data Science 2020
Discover key insights from our survey of how enterprise leaders from industries like Real Estate, Financial Services, Advertising and more are engaging with Spatial Data Science in 2020
Tackling Customer Churn for Utilities with Spatial Modeling
Spatial Data Science modeling can help Utilities companies to dramatically reduce customer churn and save millions in recurring revenue.
Speed up your spatial analysis with CARTOframes 1.0
CARTOframes is the go-to tool for powering analysis with spatial insights and efficiently working with spatial data and spatial models
Quantifying Park Use in American Cities: Spatial Models and Novel Measures
Learn how cities can use spatial modeling to more accurately assess park use to inform planning and facilities decisions
Magnify your Analysis: Statistical Downscaling to Enhance Spatial Resolution
From understanding the dynamics of a business, to modelling physical and biological processes, selecting the proper spatial scale matters.
Spatial Analysis: Private Equity's Secret Weapon
Which types of funds invest in spatial analysis? How do they use location data in screening & portfolio management? We discuss the role of Data Science.
PostGIS Day: A future, post GIS
Is GIS dead? No, but it is undergoing a transformation - and we're excited to see how spatial analysis can continue to change our world.
Retail Revenue Prediction Models with Spatial Data Science
Predicting store revenues is critical, allowing retail leaders to stay agile, make informed decisions around current store operations, and plan the most effective new openings. The most accurate prediction models include the location component.
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.