Understanding the limitations of environmental data is important for managing
environmental systems effectively and for encouraging the responsible use of uncertain …

This paper describes a software tool for:(1) assessing uncertainties in environmental data;
and (2) generating realisations of uncertain data for use in uncertainty propagation …

Current treatments of uncertainty in environmental research embody several myths about
the causes and consequences of imperfect knowledge, namely:(1) the dominant role of …

Locality information for specimens of geological, biological, and cultural objects is
traditionally stored as textual descriptions. With an increasing demand for natural and …

In risk assessment, available information is collected and utilized to make decisions
regarding the risk associated with a particular stressor such as a chemical, biological, or …

Although environmental processes at large scales are to a great degree the resultant of
processes at smaller scales, models representing these processes can vary considerably …

Assessing uncertainty of a spatial phenomenon requires the analysis of a large number of
parameters which must be processed by a transfer function. To capture the possibly of a …

The topic of uncertainty has been receiving increasing attention in the geographical
sciences (Kundzewicz, 1995; Mowrer and Congalton, 2000; Hunsaker et al., 2001; Odeh …

Risk and policy analysis involves consideration of uncertainties. A quantitative probabilistic
method for uncertainty analysis includes:(1) quantifying and assigning probabilistic …

As most readers of this journal are aware, the issue of spatial data quality is a recurring
theme on the GI Science agenda. Over the past 15 years, an impressive number of scienti c …