eppproy: Function to assign population to centers of services

In RichDeto/EPP: Evaluation of Proximity Programs

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

Author(s)

Detomasi, Richard & Botto, German

References

Botto, G. y Detomasi, R. (2015), Bases metodológicas para la planificación espacial de servicios de educación inicial en Uruguay. Jornadas Argentinas de Geo-tecnologías: Trabajos completos. Universidad Nacional de Luján - Sociedad de Especialistas Latinoamericanos en Percepción 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: Análisis de demanda. Documento de trabajo, Mayo 2015. Departamento de Geografía. Dirección Nacional de Evaluación 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

proy <- eppproy(pop = pop_epp)

RichDeto/EPP documentation built on May 5, 2022, 10:23 p.m.