Book ChapterDOI
Error modeling for the map overlay operation
Howard Veregin
- pp 15-24
About:
The article was published on 1989-12-06. It has received 88 citations till now. The article focuses on the topics: Overlay.read more
Citations
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Journal ArticleDOI
Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know
Alan M. MacEachren,Anthony C. Robinson,Susan Hopper,Steven Gardner,Robert K. Murray,Mark Gahegan,Elisabeth Hetzler +6 more
TL;DR: Progress toward visual tools and methods to help analysts manage and understand information uncertainty are reviewed and progress toward frameworks for representing uncertainty, visual representation and user control of displays of information uncertainty is assessed.
Journal ArticleDOI
Causes and consequences of error in digital elevation models
Peter Fisher,Nicholas J. Tate +1 more
TL;DR: The source and nature of errors in digital models of elevation, and in the derivatives of such models, are reviewed, the correction of errors and assessment of fitness for use are examined, and some priorities for future research are identified.
Theory and methods for accuracy assessment of thematic maps using fuzzy sets
TL;DR: In this article, the use of fuzzy sets in map accuracy assessment expands the amount of information that can be provided regarding the nature, frequency, magnitude, and source of errors in a thematic map.
Journal ArticleDOI
Identifying gaps in conservation networks: of indicators and uncertainty in geographic-based analyses
TL;DR: A set of critical assumptions and issues that influence the interpretation and implementation of gap analysis are reviewed, including the assumption that a subset of taxa can be used to indicate overall diversity patterns, and the impact of uncertainty and error propagation in reserve design.
Journal ArticleDOI
Geomorphic change detection using historic maps and DEM differencing: The temporal dimension of geospatial analysis
TL;DR: In this article, the authors present a review of methods of geomorphic change detection based on gridded models, which can be applied to a wide range of time periods by utilizing cartometric, remote sensing, or ground-based topographic survey data to measure volumetric change.
References
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Journal ArticleDOI
Predicting best with imperfect data
TL;DR: In this paper, the authors discuss the effect of errors and their propagation in models for estimating the value of improvements in data and propose a well-known formula for computing the error in the output.