Towards uncertainty-based geographic information science (part A) - modeling uncertainties in spatial data

摘要

Geographic information science may also follow the development trend in modern sciences - from the determination of sciences to uncertain ones. Therefore, it is expected that one of the trends in the development of GIS will be towards uncertainty-based GIS, which is necessarily supported by a series of theories. Our efforts on those supportive theories of uncertainty-based GIS will be presented in two consecutive papers. The present paper is the first of two on modeling uncertainties in spatial data, with the second paper addressing modeling uncertainties in spatial analyses. This paper covers error modeling for positional uncertainties in spatial data, models and methods for thematic uncertainties in spatial data, the accuracy of digital elevation models, and techniques and methods to improve the quality of satellite images.