Laura M. Bellis, Anna M. Pidgeon, Volker C. Radeloff, Véronique St-Louis, Joaquín L. Navarro, and Mónica B. Martella. 2008. Modeling habitat suitability for Greater Rheas based on satellite image texture. Ecological Applications 18:1956–1966.


Supplement

Raw data used in statistical analysis of Greater Rhea habitat models.
Ecological Archives
A018-071-S1
.

Copyright


Authors
File list (downloads)
Description


Author(s)

Laura M. Bellis
Cátedra de Ecología. CONICET
Facultad de Ciencias Exactas Físicas y Naturales
Universidad Nacional de Córdoba
Vélez Sarsfield 299
5000-Córdoba, Argentina
E-mail: lbellis@com.uncor.edu

Anna M. Pidgeon
Department of Forest and Wildlife Ecology
1630 Linden Drive
University of Wisconsin-Madison
Madison, WI 53706 USA
E-mail: apidgeon@wisc.edu

Volker C. Radeloff
Department of Forest and Wildlife Ecology
1630 Linden Drive
University of Wisconsin-Madison
Madison, WI 53706 USA
E-mail: radeloff@wisc.edu

Véronique St-Louis
Department of Forest and Wildlife Ecology
1630 Linden Drive
University of Wisconsin-Madison
Madison, WI 53706 USA
E-mail: vstlouis@wisc.edu

Joaquín L. Navarro
Centro de Zoología Aplicada
Universidad Nacional de Córdoba
CC 122
5000 Córdoba, Argentina
E-mail: navarroj@com.uncor.edu

Mónica B. Martella
Centro de Zoología Aplicada
Universidad Nacional de Córdoba
CC 122
5000 Córdoba, Argentina
E-mail: martemo@com.uncor.edu


File list

data.txt

Description

The data.txt file is a tab-separated ascii file. The file contains all raw data used in statistical analyses of Greater Rheas habitat models.

The spatial resolution chosen for the analysis was based on the 20 % of Greater Rhea home range. Sampling area is equivalent to 1.5 × 1.5 km moving window, including 2,500 Landsat pixels. The mean value of all pixels within the window was used in each variable.

Column definitions:

1 = ID, Data identification

2 to 7 = Correlation index (CR, second order texture variable corresponding to Landsat band 1,2,3,4,5, and 7 respectively)

8 to 13 = Variance index (second order texture variable corresponding to Landsat band 1,2,3,4,5, and 7 respectively)

14 to 19 = Mean index (MN, second order texture variable corresponding to Landsat band 1,2,3,4,5, and 7 respectively)

20 to 25 = homogeneity index (HG, second order texture variable corresponding to Landsat band 1,2,3,4,5, and 7 respectively).

26 to 31 = entropy index (ENT, second order texture variable corresponding to Landsat band 1,2,3,4,5, and 7 respectively).

32 to 37 = dissimilarity index (DISS, second order texture variable corresponding to Landsat band 1,2,3,4,5, and 7 respectively).

38 to 43 = contrast index (CONT, second order texture variable corresponding to Landsat band 1,2,3,4,5, and 7 respectively).

44 to 49 = second moment index (SECM, second order texture variable corresponding to Landsat band 1,2,3,4,5, and 7 respectively).

50 to 55 = variance index (VR, first order texture variable corresponding to Landsat band 1,2,3,4,5, and 7 respectively).

56 to 61 = mean index (MN, first order texture variable corresponding to Landsat band 1,2,3,4,5, and 7 respectively).

62 to 67 = entropy index (entro, first order texture variable corresponding to Landsat band 1,2,3,4,5, and 7 respectively).

68 to 73 = skewness index (skw, first order texture variable corresponding to Landsat band 1,2,3,4,5, and 7 respectively).

74 = proportion of bare soil

75 = proportion of grassland

76 = proportion of crops

77 = proportion of forest

78 = proportion of alfalfa

79 = NDVI

80 = Coefficient of variation of NDVI (%)

81 = Distance to houses (km)

82 = Distance to roads (km)

83 = Distance to water (km)

84 = Greater rhea group size

85 = location of each group; UTM_X (m)

86 = location of each group; UTM_Y (m)


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