Geograskri

Geograskri is a term used in geospatial analysis to describe a unified workflow that combines raster geodata with kriging interpolation to estimate continuous spatial fields from irregularly spaced observations. It emphasizes integrating raster processing with geostatistical estimation to produce maps that reflect both gridded data and point measurements.

Origin and usage: The term emerged in geostatistics literature in the 2010s as researchers sought integrated methods that leverage raster processing alongside kriging. It is not a universally standardized term but is used in some software guides and tutorials as shorthand for raster-kriging workflows.

Methodology: A typical geograskri workflow includes assembling relevant raster layers and collecting point measurements, selecting an appropriate variogram model, and applying kriging within defined neighborhoods or across moving windows. The result is a gridded estimate of the target variable and a corresponding uncertainty surface. Some implementations extend ordinary kriging with cokriging or Bayesian kriging to incorporate auxiliary variables.

Applications: Used for environmental and geographic mapping tasks such as soil property mapping, groundwater potential, crop yield estimation, climate risk mapping, and urban heat island assessments.

Limitations: Relies on assumptions about spatial continuity (stationarity) and may be sensitive to sample density, variogram choice, and raster resolution. Computationally intensive for large datasets.

See also: geostatistics, kriging, raster data, geographic information systems.