EPP (version 0.3.6.1)

eppproy: Function to assign population to centers of services

Description

Creates centers of service based on the spatial population clustering .

Usage

eppproy(
  pop,
  m = 5,
  l = 4,
  g1 = 5,
  g2 = g1 * 0.5,
  d1 = 1000,
  d2 = d1 * 2,
  crs = CRS("+init=epsg:32721")
)

Arguments

pop

Population to attend (dataframe with three variables: x, y, and weight). x and y are plain coordinates in the defined CRS

m

Number of iteration rounds. Default 5

l

Number of iteration rounds with the first group size (g1). Default 4

g1

Size of the groups for the first l iterations. Default 5

g2

Size of the groups for the last m-l iterations. Default g1 * 0.5

d1

Distance range of service for the first iterations. Default 1000

d2

Second distance range of service. Default d1 * 2

crs

Coordinate Reference Systems (CRS). Default = CRS("+init=epsg:32721")

Value

Return a LIST with:

centros_clusters_s

SpatialPointsDataFrame of the new centers created

asigned_clusters_s

SpatialPointsDataFrame of the population covered by the new centers created

unasigned_s

SpatialPointsDataFrame of the population uncovered by the new centers created

References

Botto, G. y Detomasi, R. (2015), Bases metodol<U+00F3>gicas para la planificaci<U+00F3>n espacial de servicios de educaci<U+00F3>n inicial en Uruguay. Jornadas Argentinas de Geo-tecnolog<U+00ED>as: Trabajos completos. Universidad Nacional de Luj<U+00E1>n - Sociedad de Especialistas Latinoamericanos en Percepci<U+00F3>n Remota - Universidad Nacional de San Luis, pp. 121- 128. http://dinem.mides.gub.uy/innovaportal/file/61794/1/tecnologias-de-la-informacion-para-nuevas-formas-de-gestion-del-territorio.-2015.pdf Detomasi, R., Botto, G. y Hahn, M. (2015) CAIF: An<U+00E1>lisis de demanda. Documento de trabajo, Mayo 2015. Departamento de Geograf<U+00ED>a. Direcci<U+00F3>n Nacional de Evaluaci<U+00F3>n y Monitoreo. Ministerio de Desarrollo Social. http://dinem.mides.gub.uy/innovaportal/file/61792/1/caif.-analisis-de-demanda.-2015.pdf R Development Core Team (2015), R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.ISBN 3-900051-07-0, URL http://www.R-project.org/

Examples

# NOT RUN {
proy <- eppproy(pop = pop_epp)
# }