Spatial Analysis

Spatial problem solving

Go beyond simple map visualizations by integrating location data into your analysis. Answer spatial questions using the most comprehensive set of analytical methods and algorithms available. Use multiple data formats, sizes, and scales. Perform site selection, find clusters, make predictions, and quantify how patterns change over time. Create sophisticated statistical and machine learning models that unlock the full potential of your data.

Pattern detection

Dive deeper than traditional pattern mining, such as heat maps, know that patterns are real with spatial statistics. Use analysis tools that quantify the spatial patterns you see in a defensible, reproducible way. Apply data mining, machine learning, and statistics to find natural spatial and multivariate data clusters.

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Space-time analytics

Understand the immediate and long-term impact of your decisions. Integrate the temporal aspect of your data alongside the spatial. Find out when and where things are happening. See how the social, economic, and environmental aspects of the landscape are changing over time and the influence it has on decisions made now and in the future. Use historic trends and additional information to uncover trends and patterns and make spatiotemporal forecasts.

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Predictive analytics

Make accurate predictions using powerful statistical and machine learning methods, as well as specialized spatial modeling approaches. Model interaction, flow, and movement in space and time. Create prediction surfaces using sophisticated geostatistical techniques. Examine and quantify data relationships and forecast spatial outcomes. 

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Suitability modeling and location optimization

Make the right decisions. Use spatial tools and algorithms to find the best location, allocate resources effectively, meet demand, and minimize cost. Combine domain expertise and organizational practices to model suitability and optimize location decisions.  

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Route planning and logistics

Graduate from simple point-to-point routing. Find the path of least resistance, understand the cost of getting from one location to another, and plan routes for an entire fleet. Use ready-to-use networks or build your own using custom data. Calculate travel times, locate facilities, and solve other complex network-related problems. 

Plan your first route

Terrain analysis

Understand the earth’s topographic features. Model and visualize the earth’s surface as digital 2D and 3D models to calculate slope and curvature, delineate watersheds, and compute visibility. Use results to perform analysis and support decision making for a variety of applications.  

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Scale up your analysis

Improve efficiency and reduce work time. Harness distributed computing to scale up your analysis and process massive data collections. Identify data patterns that were previously hidden in noise. Analyze suitability, detect change, and model the earth’s surface at scale. Use spatial machine learning to find relationships and predict future events.    

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Case Study

J.D. Irving, Limited: Seedling to Shelf

Learn their methods for award-winning sustainable resource management and how to operate an integrated supply chain from tree seedling to shelf.

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