near_points: find near points for a country initially in one datasource

In afrimapr/afrihealthsites: Geographic locations of African health facilities from different sources

Description

IN DEVELOPMENT aim is to help identify and remove duplicates

Usage

near_points(
  country,
  datasources = c("healthsites", "who"),
  hs_amenity = c("clinic", "doctors", "pharmacy", "hospital"),
  dist_same_m = 50,
  toreturn = "summary"
)

Arguments

country	a character vector of country names or iso3c character codes.
datasources	vector of 2 datasources from 'healthsites' predownloaded, 'who', 'healthsites_live' needs API, 'hdx' not working yet
hs_amenity	filter healthsites data by amenity. 'all', 'clinic', 'dentist', 'doctors', 'pharmacy', 'hospital' to exclude dentist hs_amenity=c('clinic', 'doctors', 'pharmacy', 'hospital')
dist_same_m	distance below which a site from source 1 and 2 is considered same
toreturn	whether to return 'summary' or the merged 'sf' object

Value

sf

Examples

#near_points("burundi", datasources=c('who', 'healthsites'), plot='mapview')

afrimapr/afrihealthsites documentation built on June 12, 2021, 11:46 a.m.