NLA_PNW

An <code>sf</code> POINT object of 96 lakes in the Pacific Northwest Region of the United
States during the year 2017, from a subset of the Environmental
Protection Agency's "National Lakes Assessment."

datasets

A design-based approach to statistical inference, with a focus on spatial data. Spatially balanced samples are selected using the Generalized Random Tessellation Stratified (GRTS) algorithm. The GRTS algorithm can be applied to finite resources (point geometries) and infinite resources (linear / linestring and areal / polygon geometries) and flexibly accommodates a diverse set of sampling design features, including stratification, unequal inclusion probabilities, proportional (to size) inclusion probabilities, legacy (historical) sites, a minimum distance between sites, and two options for replacement sites (reverse hierarchical order and nearest neighbor). Data are analyzed using a wide range of analysis functions that perform categorical variable analysis, continuous variable analysis, attributable risk analysis, risk difference analysis, relative risk analysis, change analysis, and trend analysis. spsurvey can also be used to summarize objects, visualize objects, select samples that are not spatially balanced, select panel samples, measure the amount of spatial balance in a sample, adjust design weights, and more. For additional details, see Dumelle et al. (2023) <doi:10.18637/jss.v105.i03>.

Michael Dumelle

spsurvey

Spatial Sampling Design and Analysis

Tom Kincaid

Tony Olsen

Marc Weber

Don Stevens

Denis White

NLA_PNW function

96 rows and 9 variables:<dl>
 <dt><code>SITE_ID</code></dt>
<dd>A unique lake identifier.</dd> <dt><code>WEIGHT</code></dt>
<dd>The sampling design weight.</dd> <dt><code>URBAN</code></dt>
<dd>Urban category.</dd> <dt><code>STATE</code></dt>
<dd>State name.</dd> <dt><code>BMMI</code></dt>
<dd>Benthic MMI value.</dd> <dt><code>BMMI_COND</code></dt>
<dd>Benthic MMI condition categories.</dd> <dt><code>PHOS_COND</code></dt>
<dd>Phosphorus condition categories.</dd> <dt><code>NITR_COND</code></dt>
<dd>Nitrogen condition categories.</dd> <dt><code>geometry</code></dt>
<dd>POINT geometry using the NAD83 / Conus Albers
 coordinate reference system (EPSG: 5070).</dd>
</dl>

Format

NLA PNW data — NLA_PNW

96 rows and 9 variables:<dl>
 <dt><code>SITE_ID</code></dt>
<dd>A unique lake identifier.</dd>

 <dt><code>WEIGHT</code></dt>
<dd>The sampling design weight.</dd>

 <dt><code>URBAN</code></dt>
<dd>Urban category.</dd>

 <dt><code>STATE</code></dt>
<dd>State name.</dd>

 <dt><code>BMMI</code></dt>
<dd>Benthic MMI value.</dd>

 <dt><code>BMMI_COND</code></dt>
<dd>Benthic MMI condition categories.</dd>

 <dt><code>PHOS_COND</code></dt>
<dd>Phosphorus condition categories.</dd>

 <dt><code>NITR_COND</code></dt>
<dd>Nitrogen condition categories.</dd>

 <dt><code>geometry</code></dt>
<dd>POINT geometry using the NAD83 / Conus Albers
 coordinate reference system (EPSG: 5070).</dd>


</dl>

NLA_PNW: NLA PNW data

Description

Usage

Arguments

Format