The introduction points out the very specific system characteristics of trees and forest stands
which determine the approach and methods to analyse and model forest stand dynamics …

Visualized data often have dubious origins and quality. Di erent forms of uncertainty and
errors are also introduced as the data are derived, transformed, interpolated, and nally …

The visualization toolkit (2nd ed.) | Guide books skip to main content ACM Digital Library
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Most visualization techniques have been designed on the assumption that the data to be
represented are free from uncertainty. Yet this is rarely the case. Recently the visualization …

The possibility of digital interactivity requires us to reenvision the map reader as the map
user, and to address the perceptual, cognitive, cultural, and practical considerations that …

We present the novel high-level visualization taxonomy. Our taxonomy classifies
visualization algorithms rather than data. Algorithms are categorized based on the …

Color mapping is an important technique used in visualization to build visual
representations of data and information. With output devices such as computer displays …

Many computer graphics programmers are working in the area of scientific visualization.
One of the most interesting and fast-growing areas in scientific visualization is volume …

The most important attribute of geospatial platforms is their unique potential to aggregate a
multitude of public and private geographic data sets, providing access to data from …

With data comes uncertainty, which is a widespread and frequent phenomenon in data
science and analysis. The amount of information available to us is growing exponentially …