Echo Analytics | Building Footprints data | 25.4M+ Locations in the U.S., UK, France, Italy, Germany & Spain

Echo’s Building Footprint datasets have been built to ensure ongoing accuracy & precision. We use satellite imagery, machine learning & human verification, to define the most precise boundaries of any location (stores, landmarks, amenities, offices, etc.) and build polygon-based "geofences" around 25.4M+ Places in the U.S., U.K., France, Spain, Italy and Germany. By doing so, it is possible to identify the precise footprints so companies can benefit from an accurate geospatial analysis of countries, cities, or even local neighbourhoods. With Echo's Building Footprint data it is possible to: - Build location-based strategies fast - Increase accuracy of Foot Traffic data - Pinpoint locations for highly precise Mapping - Improve Site Selection processes Clients using this dataset are commonly from: - Commercial Real Estate & PropTech - Retail - Investment Banking

搜集汇总

背景与挑战

背景概述

该数据集覆盖美国、英国、法国、意大利、德国和西班牙超过2540万个地点的建筑轮廓，利用卫星影像、机器学习及人工验证构建精确多边形地理围栏，支持地理空间分析、客流数据提升和选址优化，主要服务于房地产、零售和金融等行业。