Spatial Analytics and Data Science

Seize market opportunities, mitigate risk, optimise resources, and plan for the future with the world’s leading spatial analytics software

A map of New York City illustrating highways, roads, and locations of assets highlighted in blue and red linesA map of New York City illustrating highways, roads, and locations of assets highlighted in blue and red lines

ANALYSE DATA IN CONTEXT

Location reveals hidden patterns and relationships

Spatial analytics uses location as a connective thread to help you understand how the environment around you affects the challenges you're finding solutions for—whether that is climate change, customer behaviour, or resource allocation. By examining data in relation to its geographic location, you can reveal unexplored spatial patterns, trends, and connections. It's these essential discoveries that often explain the "why" behind many of today's most pressing environmental and business questions.

Unparalleled collection of spatial algorithms

Esri continues to evolve to meet your needs with a comprehensive set of spatial algorithms and methods ranging from basic to advanced.

Enterprise-grade analytics

Business and government leaders around the world rely on Esri to maintain operations and provide technical support when it’s needed the most.

Align with data governance strategies

Seamlessly store, manage, and integrate geospatial data from multiple sources, ensuring a smooth data exchange and software interoperability.

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Optimise operations using location

Better manage operations with real-time understanding. Here, historical and real-time data are combined to optimise bus routes in New York City.

See what’s possible with spatial analytics

ArcGIS is a leading geospatial system that enables spatial analytics. ArcGIS powers location intelligence at more than 350,000 enterprise organisations worldwide and is backed by 50 years of market leadership in spatial analytics.

  • Overhead image of a cargo ship being loaded with shipping containers on a blue body of water

    Manage the impacts of climate change

    The Singapore maritime spatial atlas provides planners and scientists with the context they need to understand the impacts of climate change by integrating diverse geospatial data sources like maritime data and vessel tracking. This data is further used to optimise routes, identify risks, enhance efficiency, and promote sustainable maritime operations management.

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  • A grassy green field with hills of vegetation on fire with orange flames and black smoke

    Revamp wildfire resilience

    Portugal's National Authority for Emergency and Civil Protection (ANEPC) analyses satellite imagery, radar, and data collected from the field. This helps the organisation identify high-risk areas, predict fire behaviour, and optimise resource allocation, which improves response, increases safety, and lessens environmental impact. 

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  • An aerial view of an urban city with buildings, a bridge, and a body of water

    Ensure equitable traffic safety

    Louisville prioritises roadway safety using spatial analytics to identify high-risk corridors and select impactful improvement projects. This data-driven approach secured a $21 million grant and is increasing transparency for city leaders and the public and has guided decision-making.

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Delivering transformational results

Hear testimonials from industry leaders who have implemented spatial analytics within their organisation to drive environmental change, societal well-being, and economic results.

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A comprehensive system to meet your needs

ArcGIS includes and integrates with a diverse set of geospatial data types. Data can be analysed within ArcGIS or at the source of where data lives. With speed, scalability, and interoperability, ArcGIS empowers users to leverage all relevant data to drive action.

  • Data

    Bring together nonspatial and geospatial data such as raster, vector, point cloud, IoT sensor, 3D, and multidimensional data. Through various user experiences, ArcGIS enables organisations to securely analyse data where it lives—cloud-native data warehouses, relational databases, knowledge graph databases, and more.

  • Analytics

    ArcGIS offers progressive analysis capabilities. Start with foundational spatial techniques such as geocoding, geoenrichment, and spatial overlays. As your needs evolve, find clusters, perform classification, and make predictions using more advanced techniques like modelling, geospatial artificial intelligence (GeoAI), and spatiotemporal statistics.

  • Integrations

    Remain agile in your problem-solving abilities. ArcGIS is open and interoperable, allowing you to integrate and work with the tools and languages you already know such as Jupyter notebooks, Python, and R. 

  • Automation

    Run operations at scale by automating data generation, communication between applications, and routine analyses or tasks.

  • Share

    Share analysis results with anyone, anywhere, at any time. Work with your colleagues on analyses, share workflows, tell compelling stories, and enable others to analyse data within simplified apps that you create to support informed decisions.

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