Spatial and Environmental Statistics

Using a combination of analysis tools such as R statistical software (spatial, spdep, gstat, rgdal), SaTScan and ArcGIS, we can help you make sense of geographic patterns, reveal hidden relationships and identify causes of particular phenomena in your data. At ZevRoss Spatial Analysis we specialize in:

Spatial Statistics
  • Geostatistics (universal kriging, kriging with external drift)
  • Deterministic interpolation (IDW, polynomial interpolation)
  • Lattice statistics (Moran's I, Geary's C, local indicators)
  • Generalized estimating equations
  • Spatial regression
  • Multi-level modeling with adjustment for spatial correlation
  • Point pattern analysis (quadrats, Ripley's K, Ghat/Fhat)
Environmental Statistics
  • Simple linear and multivariate regression
  • Generalized linear models (Poisson, logistic)
  • Time series analysis
  • Generalized estimating equations
  • Multi-level models
  • Tree-based classification
  • Random forest