Estimate Smooth and Linear Trends from Population Count Survey
Data
person("Jonas", "Knape", email = "jonas.knape@slu.se", role = c("aut", "cre"))
Functions to estimate and plot smooth or linear population trends, or population indices,
from animal or plant count survey data.

Population down-scaling from census blocks to building units using Areametric and Volumetric approaches.
The aforementioned methods were adopted by Lwin K. K. and Murayama Y. work <doi:10.1111/j.1467-9671.2009.01171.x>.

Population down-scaling from a set of source zone geometrical features to another set of target zone
geometries gem units using Areametric and Volumetric approaches. The aforementioned methods were adopted by
Lwin K. K. and Murayama Y. work <doi:10.1111/j.1467-9671.2009.01171.x>.

Areal interpolation of population data obtained
by census surveys. Given a set of source zone polygons such as
census tracts or city blocks alongside with population counts and a
target zone of incogruent yet superimposed polygon features (such as
individual buildings) populR transforms population counts from the
former to the latter using Areal Weighted and Volume Weighted
Interpolation methods.

Areal interpolation of population data obtained
by census surveys. Given a set of source zone polygons such as
census tracts or city blocks alongside with population counts and a
target zone of incogruent yet superimposed polygon features (such as
individual buildings) populR transforms population counts from the
former to the latter using Areal Weighting and Volume Weighting
Interpolation methods.

Downscaling of population data obtained
by census surveys using areal interpolation. Given a
set of source zone polygons such as
census tracts or city blocks alongside with population counts and a
target zone of incogruent yet superimposed polygon features (such as
individual buildings) populR transforms population counts from the
former to the latter using Areal Weighting and Volume Weighting
Interpolation methods.
sf, rlang, Metrics, usethis, areal, microbenchmark