Gain insight into your data by understanding spatial relationships and patterns.
Uncover patterns in large datasets by applying filters, simplifying, aggregating, and enriching data. This scenario compares the density of electric alternate fueling stations to population by state.
Perform powerful spatial operations such as point-in-polygon, line-crosses-polygon, or polygon-is-within-polygon to find data that matches your criteria. This scenario explores the value of land parcels extracted for an area in southwestern Colorado.
Combine buffer, distance, and network analysis to solve complex routing problems. This scenario explores the accessibility of ski resorts in Colorado from the Denver airport.
Identify, quantify, and find visual spatial patterns in your data. This scenario identifies patterns of car theft in San Francisco.
Use the Geometry Engine (client-side) and the Geometry Service (server-side) to perform advanced geometric and spatial relationship operations on points, lines, and polygons. This scenario creates buffers around hurricane tracks and then calculates the intersecting area and shoreline distance impacted.
Hurricane: Buffer Distance:View, project, and perform spatial analyses on your data in any coordinate system with the Geometry Engine (client-side) and the Geometry Service (server-side). This scenario illustrates how you can apply geographic and projected coordinate systems to your data.
Projection:Get an email response.
