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Building a Recommendation System for Site Planning
When it comes to Site Planning applications, organizations have a strong desire to combine data from different sources not only to derive insights at a particular location ...
Spatial Data -
Build A Clicks-to-Bricks Strategy Using Spatial Data Science
McKinsey estimates that in-store sales will still make up 75% to 85% of all retail sales in 2025. For online-native retailers eyeing growth and expansion, this makes an omn...
Spatial Data -
Opportunity Zones in the Wake of Amazon HQ2
To say that Amazon’s HQ2 decision proved divisive would be an understatement. Whether Jeff Bezos selected the neighborhoods of Crystal City in Arlington, Virginia and Long ...
Spatial Data -
Vision Zero in the New Era of Location Data Streams
Vision Zero, a popular initiative aiming to eliminate traffic fatalities and injuries, emphasizes the need for more traffic data analysis. In understanding past mobility an...
Spatial Data -
Find and fix underperforming retail markets with spatial data models
Although the landscape has drastically transformed over the last decade, retail analytics have not kept pace which is causing some retailers to close the wrong store locati...
Spatial Data -
Predicting Collisions in NYC with New Data Streams and Spatial Analysis
Since GPS devices first appeared in cars in 1995, routing technology has been guiding us from Point A to Point B. In addition to its utility at the individual level, this n...
Spatial Data -
Why spatial analysis is key to ending pharmacy deserts and the opioid epidemic
U.S. health inequity studies tend to focus on accessibility barriers caused by the industry’s fee-for-service model, but physicians, insurers, and public health officials h...
Spatial Data -
Mobile Data 101: 15 Questions to Answer Using Mobile Data
Understanding the patterns and trends in the everyday actions of citizens, workers, or consumers is key to answering complex business questions. 90% of smartphone users kee...
Spatial Data -
Urban Analytics: A 21st Century Introduction to Spatial Analytics
The proliferation of analytics is the result of attempts to manage, calculate, and determine the best course of action based on partial and/or incomplete data. And while an...
Spatial Data -
How Insurance Uses Location Data to Prepare for Natural Disasters
Insurance providers must move quickly to take advantage of the location data available to them. Confronted with a world with more extreme weather than ever before, Location...
Spatial Data -
3 Spatial Data Science Trends to Watch in 2018
The demand for data scientists to understand and use geospatial analysis in their process has led to new trends and innovations in the data science field.
Spatial Data -
What is Supply Chain Network Design and How Does It Work?
Supply chains are a critical, and often unnoticed, part of our everyday lives. Almost everything that we purchase in a store comes to us as a part of a supply chain and man...
Spatial Data
Academy
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State of the Art Styling in CARTO VL
One of the most welcomed features of modern vector renderers is the performance advantage they bring to the table. While SVG and Canvas renderers have been developed in the...
Core Tech -
Find and fix underperforming retail markets with spatial data models
Although the landscape has drastically transformed over the last decade, retail analytics have not kept pace which is causing some retailers to close the wrong store locati...
Spatial Data -
Introducing CARTOframes: A Python Interface for CARTO
It’s with a lot of pride that we’re releasing CARTOframes, a Python package for interacting with CARTO that’s built specifically with data scientists in mind.
Core Tech
CARTO Content
