Understanding Spatial Relationships and Patterns
From analysis of geographic patterns to finding optimum routes, site selection, and advanced predictive modelling, spatial analysis is at the very heart of the ArcGIS Platform. ArcGIS is an enterprise solution that can integrate with or sit alongside your existing BI and other line of business systems, providing significant new insights that go well beyond traditional business intelligence. The platform also includes a wealth of worldwide data from weather to traffic, road networks, drive times, physical geography and demographics, all of which is easily incorporated into your analysis.
Discover below some of the key types of spatial analysis, available in ArcGIS, and explore the potential value to your business.
Where are my offices located? Where are my delivery trucks? Understanding where is about putting the world in context. This includes geocoding your data, putting it on a map, and symbolising it in ways that can help you visualise and understand your data. Try it out →
Measuring Size, Shape, and Distribution
How long is the river? How tall is the building? How large are the coca fields? Measuring size and shape shows how large an object is or describes a feature in terms of its area, perimeter, length, height, and volume. It also helps to understand the distribution of multiple features. Try it out →
Determining How Places Are Related
Which rivers are within 10 miles of a pipeline? Have other crimes occurred at this location? Answering spatial questions often requires an understanding of spatial relationships such as proximity, coincidence, intersection, overlap, visibility, and accessibility. Watch the Video
Finding the Best Locations and Paths
Whether you're looking for the best route to travel, the best corridor to build a pipeline, or the best location to site a new store, spatial analysis helps you make more informed decisions about the best locations and paths.
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Detecting and Quantifying Patterns
Where are clusters of high expenditures on electronic goods? Where are the hot spots of cancer deaths? Detecting and quantifying patterns in data can be used to find hot spots and outliers, find natural data clusters, and analyse changes in patterns over time. Watch the Video
How will a forest fire spread based on vegetation and wind? How will store size and travel distance attract or detract customers? Spatial analysis lets you use powerful modelling techniques to make predictions and better understand our world.