Powerful Analytics Using Spatial Data Science

Trusted analytics and spatial data science that push the boundaries of spatial problem-solving

Find the right solution
A dark blue map illustrating travel routes in bright yellow with a transparent white square framing the map

INNOVATIVE, SCALABLE, INTEROPERABLE

Simplify spatial problem-solving

At Esri, we understand the complexity that geospatial data can present. That’s why we have developed approachable tools and scalable infrastructure, and also continue to push the boundaries of spatial data science to empower your entire organization to work with geospatial data. ArcGIS meets your organization where it is with simplified operations and methods, seamless integrations, and comprehensive resources to boost confidence and skills.

A comprehensive system for spatial analytics

Gain access to enterprise-grade software with data, methods, and tools to support all types of spatial analytics workflows.

Maintain performance and scale

Transform massive geospatial data into manageable information using distributed architectures to analyze and display large volumes of data.

Leverage existing IT infrastructure and tools

Continue to use the investments you’ve made in scalability and performance. Generate results that can be integrated into third-party systems.

An image of a tall red and white cell tower and green trees in the background

Discover the power of coverage analysis, clustering, and predictive modeling

Telecom companies can use these capabilities to strategically deploy cell towers, optimize antenna placement, and ensure seamless connectivity.

Harness the power of spatial problem-solving

Spatial awareness arises from ongoing inquiry about our past, present, and future surroundings. Transcend the boundaries of business analytics with spatial thinking that helps you understand the interconnectedness of our world.

Understand the where in your data

Watch patterns emerge when you see your assets, customers, performance metrics, and competitors in the context of their location. Use spatial analysis to layer your data on a map, where you can combine and evaluate information to find the answers you need.

Gray map with various sizes of green and orange circles showing the number of customers that responded to marketing channels

Use data to measure the real world

Get to know the spatial characteristics of where your organization or assets operate. Calculate the sizes and distribution of service areas, sales territories, or work sites, as well as metrics like building heights, the distance between assets, and the slope of pathways.

Map showing how far the population can travel using public transportation with areas shaded in blue, purple, red, and orange

See how places and entities relate

Find connections between objects when you geographically explore their proximity, coincidence, intersection, overlap, and visibility. Determine the strength and direction of these newfound relationships to inform decisions related to supply chains, emergency response, or market opportunity.

A map of Oakland, California with various colored polygons illustrating segments of the population

Find the best locations and routes

Perform cutting-edge suitability modeling, site selection, market expansion, logistics, and asset network planning. Explore environmental characteristics and consumer behavior to understand which locations may be more desirable to your research or organization. Optimize ways to get resources where they need to be to maximize efficiency.

A map showing New York population and their estimated highway access in orange and pink

Detect and quantify patterns

Go beyond visualization to find geographic clusters, hot spots, and outliers. Share meaningful analysis with decision-makers that supports them in getting buy-in and informs their next steps.

A map showing the density of store in relation to the proximity of its customers

Make predictions

Use powerful modeling techniques and geospatial artificial intelligence (GeoAI) to understand and predict the environmental, societal, and economic impact of a decision. Create and iterate what-if scenarios, forecast decision outcomes, make accurate performance projections, and more.

A map showing the potential impact of a landslide in blue and green

Thrive within a growing geospatial landscape

As the volume and variety of data evolves, know that the same problem-solving principles shared here can be applied to get the answers you need.

  • An aerial image of a town with extracted buildings in red and green land

    GeoAI

    Integrate geospatial data, science, and technology with artificial intelligence (AI) to gain a deeper understanding of business opportunities, environmental impacts, and operational risks. Automated data generation and user-friendly spatial tools and algorithms are being used to modernize operations.

    Learn more about GeoAI
  • A 3D model of an oil refinery with buildings in gray and white and callouts that contain icons of people and a flame

    Real-time analytics

    Respond quickly to changing conditions, identify emerging trends, and take immediate action based on up-to-date information. With real-time analytics, organizations can detect anomalies, monitor key performance indicators, and personalize customer experiences.

    Explore real-time analytics
  • A map of the United States with shades of pink hex bins representing human movement

    Big data analytics

    Go from raw data to valuable insights faster by reducing processing steps and analysis time. Eliminate time-consuming spatial indexing and start analyzing raw geospatial data immediately by leveraging the power of Spark. Save time and effort by using enterprise-grade spatial algorithms built for efficiency and accuracy.

    Discover ArcGIS GeoAnalytics Engine
  • An image of a knowledge graph showing with interconnected red and yellow lines with text

    Graph analytics

    Explore the complex relationships and connections between entities. Graph analytics can help organizations understand social networks and supply chains and detect fraud by analyzing the relationships between nodes and edges in a spatial context.

    Discover ArcGIS Knowledge
  • A 3D representation of a city with green and red points overlaid, buildings, and a blue body of water

    3D analytics

    Three-dimensional models can help simulate and predict real-world scenarios when planning land use, responding to a disaster, or understanding the impacts of climate change. Use 3D analytics to assess building heights, sunlight exposure, and viewshed or explore depth or underground assets. 

    Explore the value of 3D analytics
  • A black and red digital map of the El Dorado fire perimeter with red dots overlaid that represent the movement of the fire

    Image and raster analytics

    Analyze street-level, drone, crewed-aircraft, and satellite imagery to provide insights for land management, wildfire monitoring, and natural resource exploration. Enable better planning and decision-making by extracting meaningful information from pixels.

    Explore the value of image analysis
  • A black colored map of public transit in San Francisco and Oakland with routes highlighted in yellow and purple

    Network analytics

    Enable the effective movement of goods; efficient organization and coordination of vehicles; and intelligent transport network analysis. Make smarter decisions with strategic routing plans that save time and money by solving vehicle routing problems and then performing postrouting analysis.

    Explore the value of network analysis
  • A map that shows 3D columns colored in gray and purple with the shades of purple representing density

    Spatial statistics

    Analyze spatial distributions, patterns, and relationships using powerful statistical and machine learning techniques. While similarities exist between traditional and spatial statistics, the latter directly incorporates space and its various relationships into their mathematical calculations.

    Explore spatial statistics
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“[Esri] offers leading data visualization and advanced processing capabilities . . . Esri’s platform acts as a bridge between the weather data providers and business operations. If you have physical assets that could be threatened by climate, Esri can bring the data and processes to bear to target operational resiliency opportunities.”

–The Forrester New Wave: Climate Risk Analytics, Q4 2022

Featured use cases

  • Exterior of a baseball stadium with a large red Atlanta Braves sign

    Event management

    Traffic management at the Atlanta Braves ballpark relied on real-time feeds, maps, and dashboards to enhance safety during the World Series.

    Read the story
  • Aerial image of a Florida skyline with green land, blue water, and large buildings

    Hazard mitigation planning

    The Florida Division of Emergency Management incorporated interactive maps and decision support tools for the state hazard mitigation plan.

    Read the story
  • An image of a blue and white train leaving a train station

    Infrastructure management

    Leaders in Normal, Illinois, use maps and dashboards to track planned infrastructure projects and share with the public how spending is applied.

    Read the story
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Learn how you can apply spatial analytics

Schedule a conversation with one of our experienced sales consultants. Tell us about the workflows you’re trying to improve, and we’ll show you how spatial analytics can support your organization.