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| library(magrittr) | |
| library(dplyr) | |
| library(sf) | |
| #devtools::install_github("mountainMath/tongfen") | |
| library(tongfen) | |
| library(cancensus) | |
| library(tidygeocoder) | |
| get_utm_crs <- function(longitude){ 32600 + ceiling((longitude - -180)/ 6)} # pour calculer des buffers ronds en mètres comme dans le day 5 de https://gitlab.com/dickoa/30daymapchallenge/-/blob/master/day5/day5-blue.R | |
| # la UTM zone (genre 19N pour québec à longitude -71 se trouve en comptant combien de zones de 6 degrés de longitude tu es à partir de -180 degrés... le CRS c'est 32600 + numéro de zone) | |
| addresses <- tibble(address = "169 route du Long Sault,Saint-André-D'Argenteuil, Québec, Canada") %>% | |
| geocode(address = address, method = 'osm',lat = latitude , long = longitude) %>% | |
| mutate(utm_crs = get_utm_crs(longitude)) | |
| get_circle <- function(lat, lon, radius){ | |
| tibble(lat = lat, lon = lon) %>% | |
| st_as_sf(coords = c("lon","lat"), crs = 4326) %>% | |
| st_transform( crs = get_utm_crs(lon)) %>% | |
| st_buffer(dist = units::set_units(radius, km)) %>% | |
| st_transform(4326) | |
| } | |
| get_populations_from_polygon <- function(sf_tibble){ | |
| intersecting_das <- cancensus::get_intersecting_geometries("CA16", level = "DA", geometry = sf_tibble, quiet= TRUE) | |
| census_data <- get_census("CA16", regions = intersecting_das, geo_format ="sf", quiet = TRUE) | |
| populations_in_geometry <- tongfen_estimate( | |
| sf_tibble, | |
| census_data, | |
| meta_for_additive_variables("census_data", "Population") | |
| ) | |
| return(populations_in_geometry) | |
| } | |
| get_populations_from_lat_lon_radius <- function(lat,lon, radius){ | |
| z <- get_circle(lat, lon, radius) | |
| get_populations_from_polygon(z) | |
| } | |
| z <- get_circle(45.56222, -74.33825, 1 ) | |
| get_populations_from_polygon(z) | |
| get_populations_from_lat_lon_radius(45.56222, -74.33825, 1 ) %>% mapview() | |
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