Spatial Analysis and Remotely Sensed Image Analysis

Spatial Analysis and Measurements

Neighborhood definition examples

Kernel density estimationThe Spatial Analysis Services unit uses state-of-the-art GIS software tools and custom programming to support the research needs of CPC Fellows. We work closely with the research teams to identify appropriate analytical methods, both traditional and innovative, and then implement those methods in the most efficient approach possible. All analytical results are carefully verified using standard quality control checks and the final products are delivered along with comprehensive documentation.


Some common types of spatial analyses include:

  • calculating Euclidean and network distances, travel times, and service areas
  • quantification of the interconnectivity of a road network (e.g., Gamma Index from graph theory)
  • spatial density calculations and estimates
  • buffering and proximity analyses
  • point pattern analysis
  • spatial pattern metrics

Remotely Sensed Image Analysis

Remote sensing exampleSpatial Analysis Services staff utilize traditional and cutting-edge software and methods for the analysis of remotely sensed imagery. Traditional approaches include pixel-based land cover classification, land use and land cover change, and the development of derivative products and indices (e.g. vegetation indices, moisture indices, and biophysical measures of vegetative health). Cutting-edge approaches include the extraction of highly detailed land cover information from hyperspectral imagery and the use of object-based image analysis (OBIA) software to classify land use and land cover at the scale of the homogeneous landscape patch.

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