An object of class SpatialPolygonsDataFrame.

datasets

A collection of tools that allows users to plan systems of sampling
sites, increasing the efficiency of biodiversity monitoring by considering
the relationship between environmental and geographic conditions in a
region. The options for selecting sampling sites included here differ from
other implementations in that they consider the environmental and geographic
conditions of a region to suggest sampling sites that could increase the
efficiency of efforts dedicated to monitoring biodiversity. The methods
proposed here are new in the sense that they combine various criteria and
points previously made in related literature; some of the theoretical and
methodological bases considered are described in:
Arita et al. (2011) <doi:10.1111/j.1466-8238.2011.00662.x>,
Sober<c3><b3>n and Cavner (2015) <doi:10.17161/bi.v10i0.4801>, and Sober<c3><b3>n et al.
(2021).

Claudia Nu<c3><b1>ez-Penichet

biosurvey

Tools for Biological Survey Planning

Marlon E. Cobos

Jorge Sober<c3><b3>n

Tomer Gueta

Narayani Barve

Vijay Barve

Adolfo G. Navarro-Sig<c3><bc>enza

A. Townsend Peterson

mx function

SpatialPolygonsDataFrame:<dl class="dl-horizontal">
<dt>data</dt><dd>data.frame with 1 row and 11 columns</dd>
<dt>polygons</dt><dd>SpatialPolygons</dd>
<dt>proj4string</dt><dd>object of class CRS</dd>
</dl>

Format

Example of spatial polygon for a region of interest — mx

SpatialPolygonsDataFrame:<dl class='dl-horizontal'>
<dt>data</dt><dd>data.frame with 1 row and 11 columns</dd>
<dt>polygons</dt><dd>SpatialPolygons</dd>
<dt>proj4string</dt><dd>object of class CRS</dd>
</dl>

mx: Example of spatial polygon for a region of interest

Description

Usage

Arguments

Format

Examples