Uncertainty in Geographical Information
Auteurs : Zhang Jingxiong, Goodchild Michael F.
As Geographic Information Systems (GIS) have developed and their applications have been extended, the issue of uncertainty has become increasingly recognized. It is highlighted by the need to demystify the inherently complex geographical world to facilitate computerization in GIS, by the inaccuracies that emerge from man-machine interactions in data acquisition, and by error propagation in geoprocessing. Users need to be well aware of the likely impacts of uncertainties in spatial analysis and decision-making.
This book discusses theoretical and practical aspects of spatial data processing and uncertainties, and covers a wide range of types of errors and fuzziness and emphasizes description and modeling. High level GIS professionals, researchers and graduate students will find this a constructive book.
Date de parution : 12-2019
15.6x23.4 cm
Date de parution : 02-2002
Ouvrage de 272 p.
15.2x22.9 cm
Thème d’Uncertainty in Geographical Information :
Mots-clés :
Urban Heat Islands; Circular Standard Deviation; Spatial Variability; Indicator Kriging; Fuzzy Sets; Data Set; Scale Aerial Photographs; Remotely Sensed Images; Rough Sets; Stochastic Simulation; Experimental Semivariogram; Semivariogram Modelling; Spatial Dependence; Raster Cells; Geographical Uncertainty; Image Matching; Spot HRV; Landsat TM Data; Spot Heights; Digital Photogrammetry; Positional Errors; Membership Functions; Cumulative Distribution Function; Raster Cell Size; Conditional Simulation