library(sf)
## Linking to GEOS 3.6.1, GDAL 2.2.3, PROJ 4.9.3
library(tidyverse)
## -- Attaching packages ---------------------------------------------- tidyverse 1.2.1 --
## v ggplot2 3.1.0 v purrr 0.3.2
## v tibble 2.1.1 v dplyr 0.8.0.1
## v tidyr 0.8.3 v stringr 1.4.0
## v readr 1.3.1 v forcats 0.4.0
## -- Conflicts ------------------------------------------------- tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
library(dplyr)
library(rgdal)
## Loading required package: sp
## rgdal: version: 1.4-3, (SVN revision 828)
## Geospatial Data Abstraction Library extensions to R successfully loaded
## Loaded GDAL runtime: GDAL 2.2.3, released 2017/11/20
## Path to GDAL shared files: C:/Users/TOSHIBA/Documents/R/win-library/3.5/rgdal/gdal
## GDAL binary built with GEOS: TRUE
## Loaded PROJ.4 runtime: Rel. 4.9.3, 15 August 2016, [PJ_VERSION: 493]
## Path to PROJ.4 shared files: C:/Users/TOSHIBA/Documents/R/win-library/3.5/rgdal/proj
## Linking to sp version: 1.3-1
library(RColorBrewer)
library(raster)
##
## Attaching package: 'raster'
## The following object is masked from 'package:dplyr':
##
## select
## The following object is masked from 'package:tidyr':
##
## extract
a = raster("D:/UC/CURSOS UC - 2019 I/Seminario de investigacion Departamental/hfp-s-america-geo-grid/hfp-s-america-geo-grid/hfp_s_america_grid/hfp_s_amer/w001001.adf")
library(raster)
library(rgdal)
Junin <- read_sf("D:/UC/CURSOS UC - 2019 I/Seminario de investigacion Departamental/Datos para Junin/Junin.shp")
HFPJunin <- crop(a, Junin)
HFPJunin <- HFPJunin <- mask(HFPJunin, Junin)
plot(HFPJunin)
APJu <- read_sf("D:/UC/CURSOS UC - 2019 I/Seminario de investigacion Departamental/Datos para Junin/APJunin.shp") %>% as_Spatial()
plot(HFPJunin)
plot(APJu, add = T)

Dif = read_rds("D:/UC/CURSOS UC - 2019 I/Seminario de investigacion Departamental/Datos para Junin/Dif.rds")
plot(Dif)
plot(APJu, add = T)
