Data Uncertainty in a Hybrid Gis
نویسندگان
چکیده
The paper presents a new approach for integrating data uncertainty into a hybrid GIS environment. Such a hybrid system can process raster data as well as vector data in an integrated manner taking uncertainty into account. For this purpose a hybrid data model is defined and extended to manage data uncertainty. The uncertainty description is based on probability measures. The consequences for the analysis methods are demonstrated by two selected operations. First, we concentrate on raster-vector-conversion which is often applied in a hybrid system and secondly treat polygon overlay. Some examples help to clarify the modifications made for these functions.
منابع مشابه
Study of Fuzzy Uncertainty of Gis Products
The fuzziness-based uncertainty of GIS products is studied from objective and subjective aspects respectively in this paper. From the point of view of objective aspect, the fuzziness-based uncertainty of GIS products consists of items concerning the data sources of GIS products. From the point of view of subjective aspect, the fuzziness-based uncertainty of GIS products includes human’s apprais...
متن کاملComplex Analysis Methods in Hybrid GIS Using Uncertain Data
Topic of this contribution is the integration of data uncertainty in complex analysis processes. By means of a flooding forecast as an example application, the enhancements which are necessary in data modelling and analysis functions are explained. The major objective of the research is to determine the uncertainty in the spatial extension of the possible flooded region. In particular, the impa...
متن کاملA New Hybrid Framework for Filter based Feature Selection using Information Gain and Symmetric Uncertainty (TECHNICAL NOTE)
Feature selection is a pre-processing technique used for eliminating the irrelevant and redundant features which results in enhancing the performance of the classifiers. When a dataset contains more irrelevant and redundant features, it fails to increase the accuracy and also reduces the performance of the classifiers. To avoid them, this paper presents a new hybrid feature selection method usi...
متن کاملGeneralized Aggregate Uncertainty Measure 2 for Uncertainty Evaluation of a Dezert-Smarandache Theory based Localization Problem
In this paper, Generalized Aggregated Uncertainty measure 2 (GAU2), as a newuncertainty measure, is considered to evaluate uncertainty in a localization problem in which cameras’images are used. The theory that is applied to a hierarchical structure for a decision making to combinecameras’ images is Dezert-Smarandache theory. To evaluate decisions, an analysis of uncertainty isexecuted at every...
متن کاملSolving a robust capacitated arc routing problem using a hybrid simulated annealing algorithm: A waste collection application
The urban waste collection is one of the major municipal activities that involves large expenditures and difficult operational problems. Also, waste collection and disposal have high expenses such as investment cost (i.e. vehicles fleet) and high operational cost (i.e. fuel, maintenance). In fact, making slight improvements in this issue lead to a huge saving in municipal consumption. Some inci...
متن کامل