Clase 7
Milenka Morozin
27/10/2020
0
Instalar y Cargar Paquetes
library(data.table)
library(ggplot2)
library(tidyverse)
library(leaflet)
library(rgdal)
library(deldir)
library(sp)
library(RColorBrewer)
library(KernSmooth)P1
Cargar mapas
- Mapa accidentes en bicicleta 2015 Fuente: http://www.ide.cl/index.php/salud/item/1595-accidentes-en-bicicleta-ano-2016
biciMap <- readOGR(dsn="Bici_personaGS2016_2/Bici_personaGS2016_2.shp")## OGR data source with driver: ESRI Shapefile
## Source: "/Users/milemorozin/Desktop/Data Science/Clase 7/Bici_personaGS2016_2/Bici_personaGS2016_2.shp", layer: "Bici_personaGS2016_2"
## with 1135 features
## It has 33 fieldsbiciMap@proj4string## CRS arguments: +proj=longlat +datum=WGS84 +no_defsproj4string(biciMap)## [1] "+proj=longlat +datum=WGS84 +no_defs"biciMap@coords## coords.x1 coords.x2
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## [1131,] -70.74013 -33.51011
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## [1133,] -70.65153 -33.52528
## [1134,] -70.61188 -33.47052
## [1135,] -70.57441 -33.61237- Mapa comunas Santiago
ComunasR13Map <- readOGR (dsn = "ComunasR13/COMUNA_C17.shp")## OGR data source with driver: ESRI Shapefile
## Source: "/Users/milemorozin/Desktop/Data Science/Clase 7/ComunasR13/COMUNA_C17.shp", layer: "COMUNA_C17"
## with 52 features
## It has 8 fieldsComunasR13Map@proj4string## CRS arguments:
## +proj=longlat +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +no_defsComunsR13Map <- spTransform(ComunasR13Map, CRSobj = proj4string(biciMap))
ComunasR13Map@proj4string## CRS arguments:
## +proj=longlat +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +no_defsStatic Base Plot
plot(biciMap)
plot(ComunasR13Map)
Interactive/live Plot
leaflet(biciMap)%>% addTiles()%>% addMarkers()Alternativa con Puntos
leaflet(biciMap)%>% addTiles()%>% addCircles()Interactive/live Plot
leaflet(ComunsR13Map)%>% addTiles() %>% addPolygons()leaflet(ComunasR13Map)%>% addTiles()%>% addPolygons() %>% addMarkers(biciMap, lng=biciMap@coords[,1], lat = biciMap@coords[,2])Mapa por Comuna con mƔs Accidentes
- Creando un mapa con las comunas que tienen datos
head(ComunasR13Map@data)## REGION NOM_REGION PROVINCIA NOM_PROVIN COMUNA
## 0 13 REGIĆN METROPOLITANA DE SANTIAGO 134 MAIPO 13404
## 1 13 REGIĆN METROPOLITANA DE SANTIAGO 134 MAIPO 13402
## 2 13 REGIĆN METROPOLITANA DE SANTIAGO 131 SANTIAGO 13124
## 3 13 REGIĆN METROPOLITANA DE SANTIAGO 131 SANTIAGO 13103
## 4 13 REGIĆN METROPOLITANA DE SANTIAGO 133 CHACABUCO 13301
## 5 13 REGIĆN METROPOLITANA DE SANTIAGO 133 CHACABUCO 13303
## NOM_COMUNA SHAPE_Leng SHAPE_Area
## 0 PAINE 1.6253302 0.066034887
## 1 BUIN 0.8841641 0.021166233
## 2 PUDAHUEL 0.7201757 0.019124278
## 3 CERRO NAVIA 0.1701803 0.001075965
## 4 COLINA 1.6920071 0.093820189
## 5 TILTIL 1.3301477 0.063169398head(biciMap@data)## IdAcciden Accidentes Fallecidos Graves Menos_Grav Leves Ilesos ANO FECHA
## 1 870941 2 0 0 0 2 0 2016 1/11/2016
## 2 875846 1 0 1 0 0 0 2016 1/22/2016
## 3 876106 1 0 1 0 0 0 2016 1/23/2016
## 4 876656 1 0 1 0 0 0 2016 1/27/2016
## 5 884912 1 0 0 0 0 1 2016 2/23/2016
## 6 881882 2 0 0 0 1 1 2016 2/25/2016
## HORA COD_COMUNA COMUNA1 COD_REGION REGION1 TIPO_ACCID
## 1 7:40 13123 PROVIDENCIA 13 REGION METROPOLITANA COLISION LATERAL
## 2 16:15 13103 CERRO NAVIA 13 REGION METROPOLITANA COLISION LATERAL
## 3 20:30 13120 NUNOA 13 REGION METROPOLITANA COLISION
## 4 20:50 13128 RENCA 13 REGION METROPOLITANA CHOQUE FRONTAL
## 5 14:00 13101 SANTIAGO 13 REGION METROPOLITANA ATROPELLO
## 6 19:30 13119 MAIPU 13 REGION METROPOLITANA COLISION LATERAL
## TIPO__CONA ZONA UBICACION_ CAUSA__CON
## 1 COLISION URBANA TRAMO DE VIA RECTA PERDIDA CONTROL VEHICULO
## 2 COLISION URBANA TRAMO DE VIA RECTA CAUSAS NO DETERMINADAS
## 3 COLISION URBANA TRAMO DE VIA RECTA IMPRUDENCIA DEL CONDUCTOR
## 4 CHOQUE URBANA TRAMO DE VIA RECTA OTRAS CAUSAS
## 5 ATROPELLO URBANA TRAMO DE VIA RECTA DESOBEDIENCIA A SENALIZACION
## 6 COLISION URBANA TRAMO DE VIA RECTA IMPRUDENCIA DEL CONDUCTOR
## CAUSA1 CALLE_UNO
## 1 PERDIDA CONTROL VEHICULO SANTA ISABEL
## 2 CAUSAS NO DETERMINADAS NEPTUNO
## 3 CONDUCCION NO ATENTO CONDICIONES TRANSITO MOMENTO DUBLE ALMEYDA
## 4 OTRAS CAUSAS NAPOLES
## 5 SENALIZACION DESOBEDECER LUZ ROJA DE SEMAFORO JOSE SANTIAGO MONTT
## 6 CONDUCCION NO ATENTO CONDICIONES TRANSITO MOMENTO FUNDO LA RINCONADA
## CALLE_DOS NUMERO INTERSECCI DIRECCIO_1
## 1 <NA> 1161 - STA ISABEL 1161 SANTA ISABEL
## 2 <NA> 1530 - NEPTUNO 1530 NEPTUNO
## 3 <NA> 4289 - DUBLE ALMEYDA 4289 DUBLE ALMEYDA
## 4 <NA> 1496 - NAPOLES 1496 NAPOLES
## 5 <NA> 2373 - JOSE SANTIAGO MONTT 2373 JOSE SANTIAGO MONTT
## 6 <NA> 145 - FUNDO LA RINCONADA 145 FUNDO LA RINCONADA
## CALZADA TIPO_CALZA ESTADO_CAL CONDICION_ ESTADO_ATM n_bno
## 1 UNIDIRECCIONAL ASFALTO REGULAR SECO DESPEJADO NA
## 2 BIDIRECCIONAL ASFALTO BUENO SECO DESPEJADO 12
## 3 UNIDIRECCIONAL CONCRETO BUENO SECO DESPEJADO 79
## 4 UNIDIRECCIONAL CONCRETO BUENO SECO DESPEJADO 33
## 5 BIDIRECCIONAL CON BANDEJON ASFALTO BUENO SECO DESPEJADO 142
## 6 UNIDIRECCIONAL ASFALTO BUENO SECO DESPEJADO 55
## n_acc porc_bueno
## 1 135 NA
## 2 15 0.8000000
## 3 79 1.0000000
## 4 35 0.9428571
## 5 150 0.9466667
## 6 62 0.8870968table(ComunasR13Map@data$COMUNA%in%biciMap@data$COD_COMUNA)##
## FALSE TRUE
## 17 35ComunasR13MapBici <- ComunasR13Map[ComunasR13Map@data$COMUNA%in%biciMap@data$COD_COMUNA,]Interactive/live Plot
leaflet(ComunasR13MapBici)%>% addTiles()%>% addPolygons()%>% addMarkers(biciMap, lng=biciMap@coords[,1], lat=biciMap@coords[,2])- AƱadiendo tabla de estadĆsticos descriptivos al mapa
class(biciMap@data)## [1] "data.frame"biciData <- data.table(biciMap@data)
NumAccBici <- biciData[,.(NumAccBici=.N), by=COD_COMUNA]ComunasR13MapBici@data <- merge(ComunasR13MapBici@data, NumAccBici, by.x="COMUNA", by.y="COD_COMUNA", sort=F, all.x=T)- Creando colores
pColor<-colorQuantile(palette = brewer.pal(4,name = "Reds"),domain =range(ComunasR13MapBici@data$NumAccBici,na.rm = T),n = 5)- Creando labels
labels <- sprintf(
"<strong>Comuna: %s </strong><br/>Acc.Bicicleta: %g ",
ComunasR13MapBici$NOM_COMUNA, ComunasR13MapBici$NumAccBici
) %>% lapply(htmltools::HTML)GrƔfico de Colores por Comuna
leaflet(ComunasR13MapBici)%>% addTiles()%>% addPolygons(fillColor= ~pColor(NumAccBici),color='white', weight=1, fillOpacity = 0.7, highlight= highlightOptions(weight=5, color="#666", fillOpacity = 0.7, bringToFront = TRUE), label=labels)3. Seleccionar las comunas con mƔs accidentes
- Verficar cuƔles son las comunas con mƔs accidentes
biciData <- data.table(biciMap@data)
biciData[,.N, by=.(COMUNA1)]## COMUNA1 N
## 1: PROVIDENCIA 135
## 2: CERRO NAVIA 15
## 3: NUNOA 79
## 4: RENCA 35
## 5: SANTIAGO 150
## 6: MAIPU 62
## 7: LA FLORIDA 31
## 8: P. AGUIRRE CERDA 11
## 9: PUDAHUEL 37
## 10: PENALOLEN 41
## 11: LAMPA 11
## 12: COLINA 6
## 13: LAS CONDES 52
## 14: QUILICURA 48
## 15: SAN JOAQUIN 18
## 16: PIRQUE 1
## 17: PUENTE ALTO 73
## 18: MACUL 28
## 19: LA CISTERNA 16
## 20: LO BARNECHEA 9
## 21: EL BOSQUE 34
## 22: CERRILLOS 14
## 23: SAN RAMON 14
## 24: VITACURA 6
## 25: RECOLETA 24
## 26: LA REINA 29
## 27: LO PRADO 18
## 28: ESTACION CENTRAL 32
## 29: SAN MIGUEL 19
## 30: QUINTA NORMAL 27
## 31: LA GRANJA 15
## 32: HUECHURABA 6
## 33: INDEPENDENCIA 16
## 34: LA PINTANA 12
## 35: CONCHALI 11
## COMUNA1 N- Crear mapa solo de la comuna con mƔs accidentes
biciMapsStgo <- biciMap[biciMap$COMUNA1 == "SANTIAGO" | biciMap$COMUNA1 == "PROVIDENCIA",]leaflet(biciMapsStgo)%>% addTiles()%>% addMarkers()Mapa de densidad de accidentes
- Hacer linea de contorno
kde2d <- bkde2D(biciMapsStgo@coords, bandwidth = c(.00225, .00225))CL <- contourLines(kde2d$x1, kde2d$x2, kde2d$fhat)- extraes los niveles de las lineas de contorno
LEVS <- as.factor(sapply(CL,`[[`, "level"))
NLEV <- length(levels(LEVS))- Convertir las lineas de contorno en polĆgonos
pgons <- lapply(1:length(CL), function(i)
Polygons(list(Polygon(cbind(CL[[i]]$x, CL[[i]]$y))), ID=i))
spgons <- SpatialPolygons(pgons)- Mapa leaflet con polĆgonos
leaflet(spgons) %>% addTiles() %>% addPolygons(color= heat.colors(NLEV, NULL)[LEVS])Densidad de Accidentes vs LocalizaciĆ³n de Bike Stores
bikeShops <- readRDS("bikeShopsStgo(1).rds")bikeShops$store_lat <- as.numeric(bikeShops$store_lat)
bikeShops$store_lon <- as.numeric(bikeShops$store_lon)leaflet(spgons) %>% addTiles() %>%
addPolygons(color = heat.colors(NLEV, NULL)[LEVS])%>%
addMarkers(lng = bikeShops$store_lon,lat = bikeShops$store_lat)