Describe a stochastic error model for a natural phenomenon
Differentiate between the following concepts: vagueness and ambiguity, well defined and poorly defined objects, and fields or discord and non-specificity
Explain how the familiar concepts of geographic objects and fields affect the conceptualization of uncertainty
Describe the concept of ecological fallacy, and comment on its relationship with the MAUP
Describe the MAUP and its affects on correlation, regression, and classification
Describe the modifiable areal unit problem (MAUP) associated with aggregation of data collected at different scales and its affect on spatial autocorrelation
Using geospatial data involves numerous uncertainties stemming from various sources such as inaccurate or erroneous measurements, inherent ambiguity of the described phenomena, or subjectivity of human interpretation. If the uncertain nature of the data is not represented, ill-informed interpretations and decisions can be the consequence. Accordingly, there has been significant research activity describing and visualizing uncertainty in data rather than ignoring it. Multiple typologies have been proposed to identify and quantify relevant types of uncertainty and a multitude of techniques to visualize uncertainty have been developed. However, the use of such techniques in practice is still rare because standardized methods and guidelines are few and largely untested. This contribution provides an introduction to the conceptualization and representation of uncertainty in geospatial data, focusing on strategies for the selection of suitable representation and visualization techniques.
Describe the problem of conflation associated with aggregation of data collected at different times, from different sources, and to different scales and accuracy requirements
Explain how geostatistical techniques might be used to address such problems
Describe the concept of ecological fallacy, and comment on its relationship with the MAUP
Describe the MAUP and its affects on correlation, regression, and classification
Describe the modifiable areal unit problem (MAUP) associated with aggregation of data collected at different scales and its affect on spatial autocorrelation
AM-85 - Propagation of error in geospatial modeling