Table 1. Representation by multivariate fields

Table 1. Examples of landscape phenomena visualization using point symbols, dynamic surfaces and isosurfaces. Click on the image to retrieve a full size picture (approx. size 50-150K), or animation (approx. size 50-200K)

Visualization of landscape characterization data as multi-variate fields modeled by bi-, tri-, and quad-variate Regularized Spline with Tension

phenomenon (field) point data 3D dynamic map

elevation: z=f(x,y);
single surface

precipitation: p_i=f_i(x,y); i=1,...,12;
time series of surfaces

soil horizons: z_i=f_i(x,y); i=1,...,5;
vertical series of surfaces

soil pH: pH=f(x,y,z);
single volume

concentrations of nitrogen in water: w=f(x,y,z,t);
volume evolving in time (jan-dec)

phenomenon (field)	point data	3D dynamic map
Visualization of landscape characterization data as multi-variate fields modeled by bi-, tri-, and quad-variate Regularized Spline with Tension
elevation: z=f(x,y); single surface
precipitation: p_i=f_i(x,y); i=1,...,12; time series of surfaces
soil horizons: z_i=f_i(x,y); i=1,...,5; vertical series of surfaces
soil pH: pH=f(x,y,z); single volume
concentrations of nitrogen in water: w=f(x,y,z,t); volume evolving in time (jan-dec)