The DOI matches its Crossref record.
Error Propagation in Environmental Modelling with GIS
Abstract
GIS users and professionals are aware that the accuracy of GIS results cannot be naively based on the quality of the graphical output. Data stored in a GIS will have been collected or measured, classified, generalised, interpreted or estimated, and in all cases this allows the introduction of errors.; With the processing of translation of this data
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Incorporating different realisations of vertical error, measured as RMSE, allows the impact of vertical error on model output to be evaluated.
“By incorporating different realisations of the vertical error, which is measured as the average positive or negative deviation between ground-based observations and DEM values at a set of control points and reported as the root mean square error (RMSE), the impact of vertical error on the model output can be evaluated (Heuvelink, 1998;Zhang & Goodchild, 2003, p. 94).”
From Probabilistic modelling for incorporating uncertainty in least cost path results: a postdictive roman road case study (2021) · cites this paper as Heuvelink, 1998
1000 Monte Carlo realisations ensure that the results are stable and unlikely to change.
“Although Heuvelink (1998, p. 45) noted that 100 Monte Carlo realisations should be enough, 1000 realisations ensure that the results are stable and unlikely to change.”
From Probabilistic modelling for incorporating uncertainty in least cost path results: a postdictive roman road case study (2021) · cites this paper as Heuvelink, 1998
Citations
Cited by
Sorted by citations
Lewis, J. (2021) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-021-09522-w · Cited by 53
Metadata
- Authors
- Heuvelink, G. B. M.
- Publisher
- CRC Press
- Published
- 1998-03-03
- Cited by
- 339
- References
- 0
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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