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Improved Modeling of Elevation Error with Geostatistics
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“The error fields representing vertical error within the DEM were generated from random values drawn from a normal distribution of mean = 0 and standard deviation = 4 (i.e. the RMSE of the DEM) (Fisher, 1998;Fisher & Tate, 2006;Wechsler & Kroll, 2006).”
From Probabilistic modelling for incorporating uncertainty in least cost path results: a postdictive roman road case study (2021) · cites this paper as Fisher, 1998
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Research works printed but not linked: 29
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- R.E. Huss and M.A. Pumar. “Effect of database errors on intervisibility estimation,” Photogrammetric Engineering and Remote Sensing, Vol. 63:415–424, 1997.
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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
- Fisher, P.
- Venue
- GeoInformatica
- Published
- 1998-10
- Volume
- 2
- Issue
- 3
- Pages
- 215-233
- ISSN
- 1384-6175
- 1573-7624
- Cited by
- 133
- References
- 0
- Language
- en
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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.
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