Unlock the power of spatial analysis
The world's leading Location Intelligence platform
Spatial Analysis
Move from seeing where
to understanding why
Spatial analysis doesn't have to be rocket science
Whether it's optimizing billboard sites, balancing sales territories or designing supply chains - understanding & analyzing spatial data is critical to the future of your business. CARTO's Location Intelligence platform allows organizations to store, enrich, analyze & visualize their data to make spatially-aware decisions.
What’s your industry?
80% of data collected by businesses has a location component, but only 10% is used to drive decision-making. Organizations able to tap into spatially-driven analytics have a unique opportunity to gain an edge and deliver on business goals.
Learn how your industry peers are using spatial data and analysis.
Discover use casesHow it works
A one-stop shop for simpler, faster spatial analytics
Data Scientists, Analysts, and Developers create competitive advantage, optimize business processes, and predict future outcomes by using CARTO’s technology, data, and services.
What our clients say
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“Our Data Science & Engineering teams use CARTO’s platform to power our in-house solution Gea. It has provided a fast-track to enhance the solution & bring value to our clients. The Python package has allowed us to integrate CARTO into our DataOps pipepines, allowing us to create, update & publish maps faster, saving our team valuable time, and giving a better service.”
Isaac Pernas,
Chief Information Officer at JLL -
“By working with CARTO we’ve been able to build the world’s leading telco data monetization solution (Vodafone Analytics) for Tourism, Real Estate & Retail - turning mobile event data into highly valuable spatial insights in 5 countries.”
David Gonzalez,
Chief Data Officer at Vodafone Group -
“Considering spatial data in our aggressive expansion plans has been a key part of our success. By designing our territories in CARTO, we’ve been able to improve customer satisfaction significantly - working closely with our grocery store partners.”
Neera Chatterjee,
Senior Product Manager at Instacart -
“CARTO allows us to use hundreds of spatial variables in our analysis, including demographics, competitor data & credit card transaction data to very quickly gain a competitive information edge in our bidding processes, allowing us to push our assumptions further & faster.”
Tim Kiely,
Data Scientist at American Securities -
“CARTO’s spatial analysis capabilities have allowed us to better articulate the actual events & trends happening in different companies to improve our fundamental investment research, using new datasets & methodologies to advise our clients.”
Rayne Gaisford,
Head of Data Strategy in Equity Research at Jefferies
What industry analysts say
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Location Intelligence Wave Strong Performer (2018)
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Cool Vendor (2017)
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Location Intelligence Winter Leader (2020)
Want to see for yourself?
Join the community
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REPORT
The State of Spatial Data Science in Enterprise 2020
Only 1 in 3 Data Scientists have expertise in spatial. We asked 100s of enterprise organizations across the globe about the future of Data Science & GIS in their organizations. Gain new insights on the status quo and explore what we can expect in our 2020 report.
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EBOOK
Becoming a Spatial Data Scientist
Download our ebook covering spatial modeling, clustering, logistics optimization, and more to start turning you and your Data Science team into spatial experts.
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WEB
What is Spatial Data Science?
Spatial Data Science is a subset of Data Science that focuses on the special characteristics of spatial data, using modeling to know where & why things happen. Learn about key use cases and more.
How it works
CARTO turns your Location Data Into Business Outcomes
Whether it's more efficient delivery routes, strategic store placements or targeted geomarketing campaigns - CARTO makes it simple in 5 key steps:
Are you a
Data Scientist?
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Explore your data
Geocode and visualize your data straight out of Jupyter notebooks.
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Fast data preparation & enrichment
Save time and take the pain out of collecting spatial data.
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Integration
Use your own libraries, functions and workflows.
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Share your results
Publish your results to CARTO and share them.
Are you a
Developer?
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Batteries included
A complete development framework with visualization libraries, data APIs, geocoding, routing and isolines.
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Rapid app development
Prototype responsive apps, just upload your data and start developing.
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Performance and interactivity
Smoothly visualize millions of points.
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Scalability
Scale your apps to millions of requests with CARTO as a backend.
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<!DOCTYPE html>
<html>
<head>
<title>Taxi pickups | CARTO</title>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta charset="UTF-8">
<script src="https://libs.cartocdn.com/carto-vl/v1.3.1/carto-vl.min.js"></script>
<script src="https://api.tiles.mapbox.com/mapbox-gl-js/v1.0.0/mapbox-gl.js"></script>
<link href="https://api.tiles.mapbox.com/mapbox-gl-js/v1.0.0/mapbox-gl.css" rel="stylesheet" />
<link href="https://carto.com/developers/carto-vl/v1.3.1/examples/maps/style.css" rel="stylesheet">
</head>
<body>
<div id="map"></div>
<aside class="toolbox">
<div class="box">
<header>
<h1>Taxi pickups</h1>
</header>
<section>
<p class="description open-sans">Multi-scale animation with color interpolation through time of day and sized by trip distance</p>
</section>
<footer class="js-footer"></footer>
</div>
</aside>
<div id="loader">
<div class="CDB-LoaderIcon CDB-LoaderIcon--big">
<svg class="CDB-LoaderIcon-spinner" viewBox="0 0 50 50">
<circle class="CDB-LoaderIcon-path" cx="25" cy="25" r="20" fill="none"></circle>
</svg>
</div>
</div>
<script>
const map = new mapboxgl.Map({
container: 'map',
style: carto.basemaps.darkmatter,
center: [-74.0032059, 40.7482066],
zoom: 12,
scrollZoom: false
});
const nav = new mapboxgl.NavigationControl({
showCompass: false
});
map.addControl(nav, 'top-left');
map.addControl(new mapboxgl.FullscreenControl(), 'top-left');
// Define user
carto.setDefaultAuth({
username: 'cartovl',
apiKey: 'default_public'
});
// Define layer
const source = new carto.source.Dataset('taxi_50k');
const viz = new carto.Viz(`
width: ($fare_amount/15000)*scaled(1)
filter: animation($tpep_pickup_datetime,10,fade(0.2,0.2))
color: rgba(255,255,255,0.2)
strokeColor: ramp(linear($tpep_pickup_datetime,time('2016-05-01T00:08:39Z'),time('2016-05-06T10:29:11Z')),[#CF1C90,#F8CA00,#9BBD4D,#07A5AB,#B100EB])
strokeWidth: ($trip_distance/30000)*scaled(1)
`);
const layer = new carto.Layer('layer', source, viz);
layer.addTo(map, 'watername_ocean');
layer.on('loaded', hideLoader);
function hideLoader() {
document.getElementById('loader').style.opacity = '0';
}
</script>
</body>
</html>
Examples
Leading organizations build their apps with CARTO
Mastercard Retail Location Insights
Mastercard built their Retail Location Insights app with CARTO, allowing them to provide spatial analysis capabilities to Retailers and Real Estate firms for Site Planning and Geomarketing.
Vodafone Analytics
Vodafone turn their mobile event data into geospatial insights for Retailers, Real Estate firms and cities with their Vodafone Analytics application.
MIT's Atlas of Inequality
The Atlas of Inequality app brings together human mobility data and POIs to explore behavioral patterns and investigate segregation across the United States.
The time has come
Step aside old‑school GIS
GIS of the past
Built for traditional GIS workflows
Complex and confusing architecture, extras required for further geo capabilities
Complex consumption based pricing model
Need for specialist developers and GIS analyst
CARTO Today
Built for the modern web developer and Data Scientists
A user-friendly API platform with geo capabilities and analysis available out of the box
Transparent pricing model without hidden fees and variable costs for credits
UX tailored to the needs of Developers, Data Scientists and Business Users
The time has come
Step aside old‑school GIS
-
GIS of the past
Built for traditional GIS workflows
Built for the modern web developer and Data Scientists
CARTO Today
-
GIS of the past
Complex and confusing architecture, extras required for further geo capabilities
A user-friendly API platform with geo capabilities and analysis available out of the box
CARTO Today
-
GIS of the past
Complex consumption based pricing model
Transparent pricing model without hidden fees and variable costs for credits
CARTO Today
-
GIS of the past
Need for specialist developers and GIS analyst
UX tailored to the needs of Developers, Data Scientists and Business Users
CARTO Today