Go beyond traditional data mining and get information processed through spatial statistics to obtain heat maps, use the most advanced spatial analysis tools and obtain spatial patterns that will help you better understand the problems in a given study area.

Take advantage of the temporality characteristics of geospatial data, study the behavior of economic, social and ecological domains and how they interact with each other over time, make spatio-temporal forecasts and observe the impact of your decisions in the present and in the future.

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 predictive surfaces using sophisticated geostatistical techniques. Examine and quantify data relationships and forecast spatial results.

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

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

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

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