ABSTRACT
The topic of raster-referenced data in Chapter 4 has focused mostly on classi¢ed maps such as land cover, with a moderate map modeling being conducted. Other types of data can be represented in rasters, however, especially as intensity images. The general structure of intensity images is like that of cellular class codes, but numbers contained in the virtual cells are quantitatively varying values rather than category codes. The quantities may be concentrations of chemicals, temperatures, rainfall, elevations, slopes of surfaces, distances to particular places like streams or supply sources, or intensity of a signal such as remotely sensed spectral bands. Distances give rise to interposed distance indicators (IDIs). Integrated vicinity indicators (IVIs) may be statistics of strength or vicinity variability. Likewise, modelings with such data often involve the interplay of several models working in complementary combinations (Ford 2009; Parker and Asensio 2008; Skidmore 2002). In this chapter, we explore some of these more general contexts, and we close the chapter with a backdrop on pixelized pictures and remote sensing.
