Lake morphometry metrics are used by limnologists to understand,
among other things, the ecological processes in a lake. Traditionally, these
metrics are calculated by hand, with planimeters, and increasingly with
commercial GIS products. All of these methods work; however, they are either
outdated, difficult to reproduce, or require expensive licenses to use. The
'lakemorpho' package provides the tools to calculate a typical suite
of these metrics from an input elevation model and lake polygon. The metrics
currently supported are: fetch, major axis, minor axis, major/minor axis
ratio, maximum length, maximum width, mean width, maximum depth, mean depth,
shoreline development, shoreline length, surface area, and volume.

c(
person(given = "Jeffrey W.", family = "Hollister",
role = c("aut","cre"),
email = "hollister.jeff@epa.gov",
comment = c(ORCID = c("0000-0002-9254-9740"))),
person(given = "Jemma", family = "Stachelek",
role = "aut",
comment = c(ORCID = c("0000-0002-5924-2464")))
)
Jeffrey W. Hollister [aut, cre]
(<https://orcid.org/0000-0002-9254-9740>),
Jemma Stachelek [aut] (<https://orcid.org/0000-0002-5924-2464>)

Lake Temperatures Collected by Situ and Satellite Methods from
1985-2009
Lake temperature records, metadata, and climate drivers for 291 global lakes during the time period 1985-2009. Temperature observations were collected using satellite and in situ methods. Climatic drivers and geomorphometric characteristics were also compiled and are included for each lake. Data are part of the associated publication from the Global Lake Temperature Collaboration project (http://www.laketemperature.org). See citation('laketemps') for dataset attribution.
This software is in the public domain because it contains
materials that originally came from the United States
Geological Survey, an agency of the United States Department of
Interior. For more information, see the official USGS copyright
policy at
http://www.usgs.gov/visual-id/credit_usgs.html#copyright. Data
are part of the associated publication. See
citation('laketemps') for dataset attribution.