Following our discussion of attribute and vector data analysis, raster data analysis presents the final powerful data mining tool available to geographers. Raster data are particularly suited to certain types of analyses, such as basic geoprocessing, surface analysis, and terrain mapping. While not always true, raster data can simplify many types of spatial analyses that would otherwise be overly cumbersome to perform on vector datasets. Some of the most common of these techniques are presented in this chapter.
- 8.3: Surface Analysis - Spatial Interpolation
- The page explores spatial interpolation for raster data in geospatial analysis. It discusses methods like inverse distance weighting, kriging, and spline interpolation, addressing challenges and applications. Overall, it provides a concise overview of how spatial interpolation estimates values at unobserved locations based on known values.