This document discusses various analysis tools for working with geographic data. It covers tools for map algebra, mathematics, multi-variate analysis, neighborhoods, rasters, reclassifying rasters, solar radiation, and surfaces. The tools allow for exploring relationships between attributes, combining raster bands, clustering analysis, weighted overlays, statistics on raster neighborhoods, creating constant, normal and random rasters, hillshading, slope, curvature, contours and calculating surface volumes.
22. FUZZY OVERLAY
Sum Transforms the input raster into a 0 to 1 scale, indicating the strength of a membership in a set,
based on a specified fuzzification algorithmic value x its importance
AND | OR | PRODUCT | SUM | GAMMA(0.9)
24. Creates a raster
of a constant value
within the extent
and cell size
Constant
raster
Normal
raster
Random
raster
Creates a raster
of a Normal value
within the extent
and cell size
Creates a raster
of a Random value
within 0 to 1.
39. including profile
and plan curvature
Curvature Contour Cut and fill
line feature class
of contours (isolines)
from a raster surface
Calculates a volume
change between
two surfaces
40. shaded relief from
a surface raster by
considering the
illumination source
angle and shadows
Hill shade Slope Observer pt.
rate of maximum
change in z-value)
from each cell
of a raster surface
Identifies which observer
points are visible from
each raster surface
location
41. So, we are mainly dealing with
GEOGRAPHIC DATA