env: Matrix of environmental distances
In SURDES: Functions for a stratified SURvey DESign
Description
Usage
Format
Source
Examples
Description
A matrix of environmental distances between the 108 sites (with 108 rows and
108 columns), summarising climatic characteristics of a 10x10km UTM in the
Comunidad Autonoma de Madrid, center of Spain. It was computed using Gower
distance.
Usage
1
Format
A data frame with 108 observations on the following 108 variables.
X1a numeric vector
X2a numeric vector
X3a numeric vector
X4a numeric vector
X5a numeric vector
X6a numeric vector
X7a numeric vector
X8a numeric vector
X9a numeric vector
X10a numeric vector
X11a numeric vector
X12a numeric vector
X13a numeric vector
X14a numeric vector
X15a numeric vector
X16a numeric vector
X17a numeric vector
X18a numeric vector
X19a numeric vector
X20a numeric vector
X21a numeric vector
X22a numeric vector
X23a numeric vector
X24a numeric vector
X25a numeric vector
X26a numeric vector
X27a numeric vector
X28a numeric vector
X29a numeric vector
X30a numeric vector
X31a numeric vector
X32a numeric vector
X33a numeric vector
X34a numeric vector
X35a numeric vector
X36a numeric vector
X37a numeric vector
X38a numeric vector
X39a numeric vector
X40a numeric vector
X41a numeric vector
X42a numeric vector
X43a numeric vector
X44a numeric vector
X45a numeric vector
X46a numeric vector
X47a numeric vector
X48a numeric vector
X49a numeric vector
X50a numeric vector
X51a numeric vector
X52a numeric vector
X53a numeric vector
X54a numeric vector
X55a numeric vector
X56a numeric vector
X57a numeric vector
X58a numeric vector
X59a numeric vector
X60a numeric vector
X61a numeric vector
X62a numeric vector
X63a numeric vector
X64a numeric vector
X65a numeric vector
X66a numeric vector
X67a numeric vector
X68a numeric vector
X69a numeric vector
X70a numeric vector
X71a numeric vector
X72a numeric vector
X73a numeric vector
X74a numeric vector
X75a numeric vector
X76a numeric vector
X77a numeric vector
X78a numeric vector
X79a numeric vector
X80a numeric vector
X81a numeric vector
X82a numeric vector
X83a numeric vector
X84a numeric vector
X85a numeric vector
X86a numeric vector
X87a numeric vector
X88a numeric vector
X89a numeric vector
X90a numeric vector
X91a numeric vector
X92a numeric vector
X93a numeric vector
X94a numeric vector
X95a numeric vector
X96a numeric vector
X97a numeric vector
X98a numeric vector
X99a numeric vector
X100a numeric vector
X101a numeric vector
X102a numeric vector
X103a numeric vector
X104a numeric vector
X105a numeric vector
X106a numeric vector
X107a numeric vector
X108a numeric vector
Source
Hortal, J. & Lobo, J.M. (2005) An ED-based protocol for the optimal sampling
of diversity. Biodiversity and Conservation 14: 2913-2947.
Examples
1
SURDES documentation built on May 2, 2019, 6:22 p.m.
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Description Usage Format Source Examples
Description
A matrix of environmental distances between the 108 sites (with 108 rows and 108 columns), summarising climatic characteristics of a 10x10km UTM in the Comunidad Autonoma de Madrid, center of Spain. It was computed using Gower distance.
Usage
1 |
Format
A data frame with 108 observations on the following 108 variables.
X1a numeric vector
X2a numeric vector
X3a numeric vector
X4a numeric vector
X5a numeric vector
X6a numeric vector
X7a numeric vector
X8a numeric vector
X9a numeric vector
X10a numeric vector
X11a numeric vector
X12a numeric vector
X13a numeric vector
X14a numeric vector
X15a numeric vector
X16a numeric vector
X17a numeric vector
X18a numeric vector
X19a numeric vector
X20a numeric vector
X21a numeric vector
X22a numeric vector
X23a numeric vector
X24a numeric vector
X25a numeric vector
X26a numeric vector
X27a numeric vector
X28a numeric vector
X29a numeric vector
X30a numeric vector
X31a numeric vector
X32a numeric vector
X33a numeric vector
X34a numeric vector
X35a numeric vector
X36a numeric vector
X37a numeric vector
X38a numeric vector
X39a numeric vector
X40a numeric vector
X41a numeric vector
X42a numeric vector
X43a numeric vector
X44a numeric vector
X45a numeric vector
X46a numeric vector
X47a numeric vector
X48a numeric vector
X49a numeric vector
X50a numeric vector
X51a numeric vector
X52a numeric vector
X53a numeric vector
X54a numeric vector
X55a numeric vector
X56a numeric vector
X57a numeric vector
X58a numeric vector
X59a numeric vector
X60a numeric vector
X61a numeric vector
X62a numeric vector
X63a numeric vector
X64a numeric vector
X65a numeric vector
X66a numeric vector
X67a numeric vector
X68a numeric vector
X69a numeric vector
X70a numeric vector
X71a numeric vector
X72a numeric vector
X73a numeric vector
X74a numeric vector
X75a numeric vector
X76a numeric vector
X77a numeric vector
X78a numeric vector
X79a numeric vector
X80a numeric vector
X81a numeric vector
X82a numeric vector
X83a numeric vector
X84a numeric vector
X85a numeric vector
X86a numeric vector
X87a numeric vector
X88a numeric vector
X89a numeric vector
X90a numeric vector
X91a numeric vector
X92a numeric vector
X93a numeric vector
X94a numeric vector
X95a numeric vector
X96a numeric vector
X97a numeric vector
X98a numeric vector
X99a numeric vector
X100a numeric vector
X101a numeric vector
X102a numeric vector
X103a numeric vector
X104a numeric vector
X105a numeric vector
X106a numeric vector
X107a numeric vector
X108a numeric vector
Source
Hortal, J. & Lobo, J.M. (2005) An ED-based protocol for the optimal sampling of diversity. Biodiversity and Conservation 14: 2913-2947.
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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