By Wenzhong Shi, Peter Fisher, Michael F. Goodchild

As learn within the geosciences and social sciences turns into more and more depending on desktops, purposes equivalent to geographical info platforms have gotten vital instruments. however the electronic representations of phenomena that those platforms require are usually of negative caliber, resulting in erroneous effects, uncertainty, blunders propagation, and in all likelihood felony legal responsibility. Spatial info caliber has turn into an important study subject inside geographical details science.This booklet covers the various state of the art examine concerns on the topic of spatial facts caliber, together with size in GIS and geostatistics, the modeling of spatial items that experience inherent uncertainty, spatial information qc, caliber administration, speaking uncertainty and backbone, reasoning and decision-making, visualization of uncertainty and mistake metadata. Spatial facts caliber should be of curiosity to an individual venture study utilizing GIS and similar applied sciences.

Show description

Read or Download Spatial Data Quality PDF

Similar remote sensing & gis books

Laser remote sensing: Fundamentals and applications

A concise, self-contained monograph on laser distant sensing and its purposes, this article discusses the ways that lasers can be utilized to remotely degree the ambience and the hydrosphere. It offers a ancient viewpoint and studies the elemental physics had to comprehend the topic.

Intelligent Sensor Design Using the Microchip dsPIC

Clever seonsors are revolutionizing the realm of procedure layout in every little thing from activities automobiles to meeting strains. those new sensors have skills that go away their predecessors within the airborne dirt and dust! They not just degree parameters successfully and accurately, yet in addition they be able to improve and interupt these measurements, thereby transformng uncooked info into really necessary info.

Urban Remote Sensing: Monitoring, Synthesis and Modeling in the Urban Environment

City distant Sensing is designed for higher point undergraduates, graduates, researchers and practitioners, and has a transparent concentrate on the advance of distant sensing expertise for tracking, synthesis and modeling within the city surroundings. It covers 4 significant parts: using high-resolution satellite tv for pc imagery or replacement assets of snapshot date (such as high-resolution SAR and LIDAR) for city characteristic extraction; the advance of greater photo processing algorithms and strategies for deriving actual and constant info on city attributes from distant sensor info; the advance of analytical ideas and techniques for deriving signs of socioeconomic and environmental stipulations that succeed inside of city panorama; and the advance of distant sensing and spatial analytical concepts for city progress simulation and predictive modeling.

Extra resources for Spatial Data Quality

Sample text

But if correlation is zero (errors are independent), then covariances will be zero, and the error in distance will show the combined effects of both positional errors. Absolute error is defined for a single location as ε(x). Relative error is defined only for pairs of points, and describes error in the determination of distance. Moreover, a continuum of levels of relative error exist depending on the degree of correlation between the two positional errors. In principle it is possible for negative correlations to exist, such that relative error can exceed the errors inherent in the independent case, but in practice we suspect that correlations are almost always non-negative.

Rhind (eds), Geographical Information System, Vol. 1 :Principles. Longman Scientific Technical, New York, pp. 21–43. Deutsch, C. , 1998, GSLIB Geostatistical Handbook. Oxford University Press, New York. A. , 1999, A Case Book for Spatial Data Analysis: a compilation of analyses of different thematic data sets. Oxford University Press, New York, 506pp. , 1992, Joint sequential simulation of multigaussian fields. Soares (ed), Proc. Fourth Geostatistics Congress, Troia, Portugal. Quantitative Geology and Geostatistics (5) 85–94, Kluwer Academic Publishers, Dordrecht.

4 Spherical models of variograms fitting the pollution index for the whole area, and the two strata separately. 4 STOCHASTIC INPUTS TO THE MODELLING OF SPATIAL PROCESSES: ERROR PROPAGATION IN SPATIAL MODELS The estimates of errors and error surfaces provided by geostatistics can be used in several ways to understand the propagation of errors through spatial models. 5. This approach assumes that all the errors are spatially correlated, however, and that adjacent grid cells are not able to take up any value that is allowed by the probability distribution for each cell separately.

Download PDF sample

Rated 4.00 of 5 – based on 42 votes