Spatial Analysis.

Spatial Analysis and Data Science.

Sanborn data scientists and spatial analysts can help you to answer challenging spatial questions so you can redefine district boundaries, spatially model cost of service, detect where is change occurring, optimize multi-stop routing, locate facilities based on environmental and demographic parameters, model signal propagation or line of sight, and much more.

  • Spatial analysis is the answer to the question why do we do GIS. At Sanborn we’ve built a team of GIS analysts and data scientists who can help you discover the spatial insights in your data and customize data visualization and analysis procedures for your situation.
  • David Lukens
    Spatial Analyst, Sanborn
David Lukens

Automate Your Spatial Analysis.

Sanborn helps you automate analytical workflows to speed up your work, while improving accuracy and results. Our data scientists work closely with our application development teams to encode your business rules and analytical process requirements into applications that are useful to your team.

DMMS Logical Data Model NJ DOT

Our Spatial Analysis is based on the best data available.

Because Sanborn has planes and sensors to collect and process high resolution imagery and lidar data and also works with leading aerial survey and satellite imaging firms (such as Hexagon, Vexcel, Pixxel and others), we can supply you with the best available and most current data suited to your spatial analysis requirements, from Digital Elevation and Surface Models to 3D buildings and digital twins, asset mapping, or vegetation, land cover and tree canopy mapping.

Lidar view of city

Optimizing School Redistricting.

Sanborn helps school districts tackle the challenging spatial analysis that drives decisions about forming school districts. The analysis needs to take into account school locations, drive times, and routing factors (busing and safe walking routes) along with housing and demographic analysis of the school age population.

Analyzing Broadband Coverage.

Sanborn spatial analysts and data scientists are helping states apply a variety of rules to determine the availability and cost of broadband services to individual addresses, to map broadband coverage, and to conduct demographic analysis. Under the current NTIA program, Sanborn developed its “Broadband Navigator” application to help states’ Broadband Offices automate a process of spatial analysis of broadband data.

Broadband Coverage

Determining Medical Service Areas.

Sanborn work for public health is as varied as spatial analysis of environmental factors associated with breast cancer, the mapping and analysis of disease incidence for spatial epidemiology, and the spatial determination of Medical Services Study Areas (MSSA) using detailed census data.

NRTRC Telehealth Locator

Analysis that drives Change Detection.

Sanborn experience covers development of algorithms and processes for detecting change for land cover and landforms at the landscape scale to changes in municipal property, building footprints, and infrastructure. Sanborn’s process supports 2D and 3D change detection.

Change Detection