A Framework for Modeling Uncertainty in Spatial Databases
نویسنده
چکیده
Geographic Information Systems (GIS) and spatial databases are inherently suited for fuzziness, because of the uncertainty inherent in the assimilation, storage, and representation of spatial data. These objects may also have naturally occurring imprecise boundaries. It is difficult to store and represent these objects while continuing to demonstrate the uncertainty inherent in the objects. This paper describes a fuzzy object-oriented framework to model spatial objects with either precise or uncertain boundaries that will also provide for fuzzy querying of these objects. We also discuss a prototype system, FOOSBALL, which implements this framework.
منابع مشابه
Application of truncated gaussian simulation to ore-waste boundary modeling of Golgohar iron deposit
Truncated Gaussian Simulation (TGS) is a well-known method to generate realizations of the ore domains located in a spatial sequence. In geostatistical framework geological domains are normally utilized for stationary assumption. The ability to measure the uncertainty in the exact locations of the boundaries among different geological units is a common challenge for practitioners. As a simple a...
متن کاملModeling spatial distribution of Tehran air pollutants using geostatistical methods incorporate uncertainty maps
The estimation of pollution fields, especially in densely populated areas, is an important application in the field of environmental science due to the significant effects of air pollution on public health. In this paper, we investigate the spatial distribution of three air pollutants in Tehran’s atmosphere: carbon monoxide (CO), nitrogen dioxide (NO2), and atmospheric particulate matters less ...
متن کاملModeling spatial distribution of Tehran air pollutants using geostatistical methods incorporate uncertainty maps
The estimation of pollution fields, especially in densely populated areas, is an important application in the field of environmental science due to the significant effects of air pollution on public health. In this paper, we investigate the spatial distribution of three air pollutants in Tehran’s atmosphere: carbon monoxide (CO), nitrogen dioxide (NO2), and atmospheric particulate matters less ...
متن کاملAssessment of uncertainty for coal quality-tonnage curves through minimum spatial cross-correlation simulation
Coal quality-tonnage curves are helpful tools in optimum mine planning and can be estimated using geostatistical simulation methods. In the presence of spatially cross-correlated variables, traditional co-simulation methods are impractical and time consuming. This paper investigates a factor simulation approach based on minimization of spatial cross-correlations with the objective of modeling s...
متن کاملTowards Uncertainty-based Geographic Information Science (part B) – Theories of Modeling Uncertainties in Spatial Analyses
Within the framework of uncertainty-based geographic information science, this paper addresses modeling uncertainties in integrating multiple sources of data, modeling uncertainty in overlay analysis, modeling uncertainty in line simplification, uncertainty-based spatial data mining, uncertainty-based spatial queries, theory and methods for controlling the quality of spatial data, modeling unce...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Trans. GIS
دوره 7 شماره
صفحات -
تاریخ انتشار 2003