Scale detection in real and artificial landscapes using semivarianceanalysis
Saved in:
| Title: | Scale detection in real and artificial landscapes using semivarianceanalysis |
|---|---|
| Authors: | Turner, M. G., Meisel, J. E. |
| Source: | Landscape Ecology. Dec1998, Vol. 13 Issue 6, p347. 0p. |
| Subject Terms: | *Landscape ecology |
| Abstract: | Semivariance analysis is potentially useful to landscape ecologists for detecting scales of variability in spatial data. We used semivariance analysis to compare spatial patterns of winter foraging by largeungulates with those of environmental variables that influence forage availability in northern Yellowstone National Park, Wyoming. In addition, we evaluated (1) the ability of semivariograms to detect knownscales of variability in artificial maps with one or more distinct scales of pattern, and (2) the influence of the amount and spatial distribution of absent data on semivariogram results and interpretation.Semivariograms of environmental data sets (aspect, elevation, habitat type, and slope) for the entire northern Yellowstone landscape clearly identified the dominant scale of variability in each map layer, while semivariograms of ungulate foraging data from discontinuous study areas were difficult to interpret. Semivariograms of binary maps composed of a single scale of pattern showed clear and interpretable results: the range accurately reflected the size of the blocks of whichthe maps were constructed. Semivariograms of multiple scale maps andhierarchical maps exhibited pronounced inflections which could be used to distinguish two or three distinct scales of pattern. To assess the sensitivity of semivariance analysis to absent data, often the product of cloud interference or incomplete data collection, we deliberately masked (deleted) portions of continuous northern Yellowstone map layers, using single scale artificial maps as masks. The sensitivity of semivariance analysis to random deletions from the data was related to both the size of the deleted blocks, and the total proportion of the original data set that was removed. Small blocks could be deleted in very high proportions without degrading the semivariogram results. When the size of deleted blocks was large relative to the size of the map, the corresponding variograms became sensitive to the totalpropo [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: enr DbLabel: Energy & Power Source An: 8431442 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Scale detection in real and artificial landscapes using semivarianceanalysis – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Turner%2C+M%2E+G%2E%22">Turner, M. G.</searchLink><br /><searchLink fieldCode="AR" term="%22Meisel%2C+J%2E+E%2E%22">Meisel, J. E.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Landscape+Ecology%22">Landscape Ecology</searchLink>. Dec1998, Vol. 13 Issue 6, p347. 0p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Landscape+ecology%22">Landscape ecology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Semivariance analysis is potentially useful to landscape ecologists for detecting scales of variability in spatial data. We used semivariance analysis to compare spatial patterns of winter foraging by largeungulates with those of environmental variables that influence forage availability in northern Yellowstone National Park, Wyoming. In addition, we evaluated (1) the ability of semivariograms to detect knownscales of variability in artificial maps with one or more distinct scales of pattern, and (2) the influence of the amount and spatial distribution of absent data on semivariogram results and interpretation.Semivariograms of environmental data sets (aspect, elevation, habitat type, and slope) for the entire northern Yellowstone landscape clearly identified the dominant scale of variability in each map layer, while semivariograms of ungulate foraging data from discontinuous study areas were difficult to interpret. Semivariograms of binary maps composed of a single scale of pattern showed clear and interpretable results: the range accurately reflected the size of the blocks of whichthe maps were constructed. Semivariograms of multiple scale maps andhierarchical maps exhibited pronounced inflections which could be used to distinguish two or three distinct scales of pattern. To assess the sensitivity of semivariance analysis to absent data, often the product of cloud interference or incomplete data collection, we deliberately masked (deleted) portions of continuous northern Yellowstone map layers, using single scale artificial maps as masks. The sensitivity of semivariance analysis to random deletions from the data was related to both the size of the deleted blocks, and the total proportion of the original data set that was removed. Small blocks could be deleted in very high proportions without degrading the semivariogram results. When the size of deleted blocks was large relative to the size of the map, the corresponding variograms became sensitive to the totalpropo [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=8431442 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 0 StartPage: 347 Subjects: – SubjectFull: Landscape ecology Type: general Titles: – TitleFull: Scale detection in real and artificial landscapes using semivarianceanalysis Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Turner, M. G. – PersonEntity: Name: NameFull: Meisel, J. E. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec1998 Type: published Y: 1998 Identifiers: – Type: issn-print Value: 09212973 Numbering: – Type: volume Value: 13 – Type: issue Value: 6 Titles: – TitleFull: Landscape Ecology Type: main |
| ResultId | 1 |
