.Rhistory

ESTE <- c(272841.7, 272893.6, 272892.5, 272913.8, 272911.2, 272837.5, 272841.7)
NORTE <- c(8666459.9, 8666456.9, 8666446.1, 8666441.5, 8666399.9, 8666407.9, 8666459.9)
df1<-data.frame(codigo,ESTE,NORTE)
poligono<-function(codigo, ESTE, NORTE){
objeto_sf<- st_as_sf(df1, coords = c("ESTE", "NORTE"),crs = st_crs(32718))
graf<-ggplot(objeto_sf, mapping = aes(ESTE, NORTE))+
geom_polygon()+geom_label(aes(label=codigo))+
scale_color_gradient(low="green", high="orange")
poligono<-function(codigo, ESTE, NORTE){
objeto_sf<- st_as_sf(df1, coords = c("ESTE", "NORTE"),crs = st_crs(32718))
graf<-ggplot(objeto_sf, mapping = aes(ESTE, NORTE))+
geom_polygon()+geom_label(aes(label=codigo))+
scale_color_gradient(low="green", high="orange")
return(graf)
}
poligono(df1)
poligono<-function(codigo, ESTE, NORTE){
objeto_sf<- st_as_sf(df1, coords = c("ESTE", "NORTE"),crs = st_crs(32718))
graf<-ggplot(objeto_sf, mapping = aes(ESTE, NORTE))+
geom_polygon()+geom_label(aes(label=codigo))+
scale_color_gradient(low="green", high="orange")
return(graf)
}
poligono(df1)
install.packages("raster")
install.packages("raster")
knitr::opts_chunk$set(echo = TRUE)
knitr::opts_chunk$set(echo = TRUE)
plot(pressure)
#1
tangente_hiperbolica<-seq(-10,10,0.5)
tangente_hiperbolica
tanh<-function(a){
r<-(exp(2*a)-1)/(exp(2*a)+1)
return(r)
}
solucion<-tanh(tangente_hiperbolica)
plot(tangente_hiperbolica,solucion,type="l")
#2
ecua_regresion<-function(v1,v2){
X1<-c()
Y2<-c()
for(i in 1:length(v1)){
x<-log10(v1[i])
y<-log10(v2[i])
X1<-c(X1,x)
Y2<-c(Y2,y)
}
multip<-X1*Y2
X1_alcuadrado<-X1^2
n<-length(v1)
B<-((n*sum(multip))-(sum(X1)*sum(Y2)))/((n*sum(X1_alcuadrado))-(sum(X1))^2)
A<-10^(mean(Y2)-B*mean(X1))
return(c(A,B))
}
x<-c(2.5,3,4,5,5.5,6,7)
y<-c(12.5,10,7,4.5,4,3,3.5)
ecua_regresion(x,y)
# 3
AyP <- function (l1, l2, l3 ) {
p <-  sum(l1, l2, l3)
area <- sqrt(p/2*(p/2-l1)*(p/2-l2)*(p/2-l3))
return(c(area, p))
}
AyP(4,11,8)
# 4
TiemCo <- function ( L , CN , S ) {
resultado <- ( 0.0136*( L ^ 0.8 )*((( 1000 / CN ) - 9)^0.7))/S^0.5
return(resultado)
}
TiemCo(6,15,8)
#5
CSSE<-function(v,r){
m<-matrix(v,ncol = 3)
ds<-det(m)
for (n in 1:length(r)) {
if(n==1){
m<-matrix(v,ncol = 3)
m[,n]<-r
dx<-det(m)
}else if(n==2){
m<-matrix(v,ncol = 3)
m[,n]<-r
dy<-det(m)
}else{
m<-matrix(v,ncol = 3)
m[,n]<-r
dz<-det(m)
}
}
x<-dx/ds
y<-dy/ds
z<-dz/ds
r<-c(x,y,z)
return(r)
}
variables_xyz<-c(2,5,1,1,-4,-1,3,1,-4)
resul_de_SE<-c(7,-19,4)
CSSE(variables_xyz,resul_de_SE)
#2)
codigo <- c("A","B","C","D","E","F","A")
ESTE <- c(272841.7, 272893.6, 272892.5, 272913.8, 272911.2, 272837.5, 272841.7)
NORTE <- c(8666459.9, 8666456.9, 8666446.1, 8666441.5, 8666399.9, 8666407.9, 8666459.9)
df1<-data.frame(codigo,ESTE,NORTE)
head(df1)
poligono<-function(codigo, ESTE, NORTE){
objeto_sf<- st_as_sf(df1, coords = c("ESTE", "NORTE"),crs = st_crs(32718))
graf<-ggplot(objeto_sf, mapping = aes(ESTE, NORTE))+
geom_polygon()+geom_label(aes(label=codigo))+
scale_color_gradient(low="green", high="orange")
return(graf)
}
poligono(df1)
library(raster)
#2)
codigo <- c("A","B","C","D","E","F","A")
ESTE <- c(272841.7, 272893.6, 272892.5, 272913.8, 272911.2, 272837.5, 272841.7)
NORTE <- c(8666459.9, 8666456.9, 8666446.1, 8666441.5, 8666399.9, 8666407.9, 8666459.9)
df1<-data.frame(codigo,ESTE,NORTE)
head(df1)
poligono<-function(codigo, ESTE, NORTE){
objeto_sf<- st_as_sf(df1, coords = c("ESTE", "NORTE"),crs = st_crs(32718))
graf<-ggplot(objeto_sf, mapping = aes(ESTE, NORTE))+
geom_polygon()+geom_label(aes(label=codigo))+
scale_color_gradient(low="green", high="orange")
return(graf)
}
poligono(df1)
library(sf)
#2)
codigo <- c("A","B","C","D","E","F","A")
ESTE <- c(272841.7, 272893.6, 272892.5, 272913.8, 272911.2, 272837.5, 272841.7)
NORTE <- c(8666459.9, 8666456.9, 8666446.1, 8666441.5, 8666399.9, 8666407.9, 8666459.9)
df1<-data.frame(codigo,ESTE,NORTE)
head(df1)
poligono<-function(codigo, ESTE, NORTE){
objeto_sf<- st_as_sf(df1, coords = c("ESTE", "NORTE"),crs = st_crs(32718))
graf<-ggplot(objeto_sf, mapping = aes(ESTE, NORTE))+
geom_polygon()+geom_label(aes(label=codigo))+
scale_color_gradient(low="green", high="orange")
return(graf)
}
poligono(df1)
#2)
codigo <- c("A","B","C","D","E","F","A")
ESTE <- c(272841.7, 272893.6, 272892.5, 272913.8, 272911.2, 272837.5, 272841.7)
NORTE <- c(8666459.9, 8666456.9, 8666446.1, 8666441.5, 8666399.9, 8666407.9, 8666459.9)
df1<-data.frame(codigo,ESTE,NORTE)
head(df1)
poligono<-function(codigo, ESTE, NORTE){
objeto_sf<- st_as_sf(df1, coords = c("ESTE", "NORTE"),crs = st_crs(32718))
graf<-ggplot(objeto_sf, mapping = aes(ESTE, NORTE))+
geom_polygon()+geom_label(aes(label=codigo))+
return(graf)
}
poligono(df1)
#2)
codigo <- c("A","B","C","D","E","F","A")
ESTE <- c(272841.7, 272893.6, 272892.5, 272913.8, 272911.2, 272837.5, 272841.7)
NORTE <- c(8666459.9, 8666456.9, 8666446.1, 8666441.5, 8666399.9, 8666407.9, 8666459.9)
df1<-data.frame(codigo,ESTE,NORTE)
head(df1)
poligono<-function(codigo, ESTE, NORTE){
objeto_sf<- st_as_sf(df1, coords = c("ESTE", "NORTE"),crs = st_crs(32718))
graf<-ggplot(objeto_sf, mapping = aes(ESTE, NORTE))+
geom_polygon()+geom_label(aes(label=codigo))
return(graf)
}
poligono(df1)
#2)
codigo <- c("A","B","C","D","E","F","A")
ESTE <- c(272841.7, 272893.6, 272892.5, 272913.8, 272911.2, 272837.5, 272841.7)
NORTE <- c(8666459.9, 8666456.9, 8666446.1, 8666441.5, 8666399.9, 8666407.9, 8666459.9)
df1<-data.frame(codigo,ESTE,NORTE)
head(df1)
poligono<-function(df1){
objeto_sf<- st_as_sf(df1, coords = c("ESTE", "NORTE"),crs = st_crs(32718))
graf<-ggplot(objeto_sf, mapping = aes(ESTE, NORTE))+
geom_polygon()+geom_label(aes(label=codigo))
return(graf)
}
poligono(df1)
library(reshape2)
library(dbplyr)
detach("package:tidyr", unload = TRUE)
library(tidyr)
install.packages("raster")
library(raster)
library(sf)
library(dplyr)
library(dbplyr)
library(tidyverse)
detach("package:tidyr", unload = TRUE)
library(tidyr)
knitr::opts_chunk$set(echo = TRUE)
#5
CSSE<-function(v,r){
m<-matrix(v,ncol = 3)
ds<-det(m)
for (n in 1:length(r)) {
if(n==1){
m<-matrix(v,ncol = 3)
m[,n]<-r
dx<-det(m)
}else if(n==2){
m<-matrix(v,ncol = 3)
m[,n]<-r
dy<-det(m)
}else{
m<-matrix(v,ncol = 3)
m[,n]<-r
dz<-det(m)
}
}
x<-dx/ds
y<-dy/ds
z<-dz/ds
r<-c(x,y,z)
return(r)
}
variables_xyz<-c(2,5,1,1,-4,-1,3,1,-4)
resul_de_SE<-c(7,-19,4)
CSSE(variables_xyz,resul_de_SE)
#1)
setwd("D:/R/progra1/parcial")
cuenca<- sf::st_read("uh_datos.shp")
#a)
datos <- readOGR(dsn = ".", layer= "uh_datos")
install.packages("sf")
install.packages("sp")
install.packages("sp")
install.packages("sp")
library(sf)
library(raster)
library(dplyr)
library(tidyverse)
library(rgdal)
library(gganimate)
knitr::opts_chunk$set(echo = TRUE)
#2)
codigo <- c("A","B","C","D","E","F","A")
ESTE <- c(272841.7, 272893.6, 272892.5, 272913.8, 272911.2, 272837.5, 272841.7)
NORTE <- c(8666459.9, 8666456.9, 8666446.1, 8666441.5, 8666399.9, 8666407.9, 8666459.9)
df1<-data.frame(codigo,ESTE,NORTE)
head(df1)
poligono<-function(df1){
objeto_sf<- st_as_sf(df1, coords = c("ESTE", "NORTE"),crs = st_crs(32718))
graf<-ggplot(objeto_sf, mapping = aes(ESTE, NORTE))+
geom_polygon()+geom_label(aes(label=codigo))
return(graf)
}
poligono(df1)
#1)
setwd("D:/R/progra1/parcial")
cuenca<- sf::st_read("uh_datos.shp")
#a)
datos <- readOGR(dsn = ".", layer= "uh_datos")
data_nueva<-datos@data
head(data_nueva)
pp_prom<-data_nueva %>%
group_by(AAA) %>%
summarise(promedio_AAA=mean(pcp))
View(pp_prom)
ggplot(pp_prom, aes(AAA, promedio_AAA, color= promedio_AAA)) +
geom_point()+
labs(y="promedio_AAA", x = "AAA")+
ggtitle("Precipitacion promedio por Autoridad AAA")+
scale_color_gradient(low="blue", high="red")+
transition_reveal(promedio_AAA)
#b)
View(pp_prom)
View(data_nueva)
indic_ar<- data_nueva %>%
group_by(NOMBRE) %>%
summarise(ia=(pcp/pet))
View(indic_ar)
#c)
indic_ar<- data_nueva %>%
group_by(NOMBRE) %>%
summarise(ia=(pcp/pet))
View(indic_ar)
ia<- indic_ar$ia
clasificacionIA<-c()
for(a in ia){
if(1<=a){
f<- print("Húmedo")
}else if(0.7<=a){
f<- print("Subhúmedo húmedo")
}else if(0.5<=a){
f<- print("Subhúmedo seco")
}else if(0.2<=a){
f<- print("semiarido")
}else if(10.05<=a){
f<- print("arido")
}else if(0<=a){
f<- print("Hiperarido")
}
clasificacionIA<-c(f,clasificacionIA)
}
length(clasificacionIA)
clasif<-tibble(indic_ar, clasificacionIA)
view(clasif)
#d)
g1<-ggplot(data = data_nueva, mapping = aes(x = AAA, y = pcp, color= AAA)) +
geom_boxplot()
data_nueva %>%
filter(AAA== "X")
g2<-ggplot(data = data_nueva, mapping = aes(x = AAA, y = pet, fill= AAA)) +
geom_boxplot()+scale_fill_brewer(palette="Paired")
#2)
codigo <- c("A","B","C","D","E","F","A")
ESTE <- c(272841.7, 272893.6, 272892.5, 272913.8, 272911.2, 272837.5, 272841.7)
NORTE <- c(8666459.9, 8666456.9, 8666446.1, 8666441.5, 8666399.9, 8666407.9, 8666459.9)
df1<-data.frame(codigo,ESTE,NORTE)
head(df1)
poligono<-function(df1){
objeto_sf<- st_as_sf(df1, coords = c("ESTE", "NORTE"),crs = st_crs(32718))
graf<-ggplot(objeto_sf, mapping = aes(ESTE, NORTE))+
geom_polygon()+geom_label(aes(label=codigo))+
scale_color_gradient(low="blue", high="red")
return(graf)
}
poligono(df1)
#2)
codigo <- c("A","B","C","D","E","F","A")
ESTE <- c(272841.7, 272893.6, 272892.5, 272913.8, 272911.2, 272837.5, 272841.7)
NORTE <- c(8666459.9, 8666456.9, 8666446.1, 8666441.5, 8666399.9, 8666407.9, 8666459.9)
df1<-data.frame(codigo,ESTE,NORTE)
head(df1)
poligono<-function(df1){
objeto_sf<- st_as_sf(df1, coords = c("ESTE", "NORTE"),crs = st_crs(32718))
graf<-ggplot(objeto_sf, mapping = aes(ESTE, NORTE))+
geom_polygon()+geom_label(aes(label=codigo))+
scale_color_gradient(low="blue", high="red")
return(graf)
}
poligono(df1)
#2)
codigo <- c("A","B","C","D","E","F","A")
ESTE <- c(272841.7, 272893.6, 272892.5, 272913.8, 272911.2, 272837.5, 272841.7)
NORTE <- c(8666459.9, 8666456.9, 8666446.1, 8666441.5, 8666399.9, 8666407.9, 8666459.9)
df1<-data.frame(codigo,ESTE,NORTE)
head(df1)
poligono<-function(df1){
objeto_sf<- st_as_sf(df1, coords = c("ESTE", "NORTE"),crs = st_crs(32718))
graf<-ggplot(objeto_sf, mapping = aes(ESTE, NORTE))+
geom_polygon()+geom_label(aes(label=codigo))+
scale_color_gradient(low="green", high="red")
return(graf)
}
poligono(df1)
#1)
setwd("D:/R/progra1/parcial")
cuenca<- sf::st_read("uh_datos.shp")
#a)
datos <- readOGR(dsn = ".", layer= "uh_datos")
data_nueva<-datos@data
head(data_nueva)
pp_prom<-data_nueva %>%
group_by(AAA) %>%
summarise(promedio_AAA=mean(pcp))
View(pp_prom)
ggplot(pp_prom, aes(AAA, promedio_AAA, color= promedio_AAA)) +
geom_point()+
labs(y="promedio_AAA", x = "AAA")+
ggtitle("Precipitacion promedio por Autoridad AAA")+
scale_color_gradient(low="blue", high="red")+
transition_reveal(promedio_AAA)
#b)
View(pp_prom)
View(data_nueva)
indic_ar<- data_nueva %>%
group_by(NOMBRE) %>%
summarise(ia=(pcp/pet))
View(indic_ar)
#c)
indic_ar<- data_nueva %>%
group_by(NOMBRE) %>%
summarise(ia=(pcp/pet))
View(indic_ar)
ia<- indic_ar$ia
clasificacionIA<-c()
for(a in ia){
if(1<=a){
f<- print("Húmedo")
}else if(0.7<=a){
f<- print("Subhúmedo húmedo")
}else if(0.5<=a){
f<- print("Subhúmedo seco")
}else if(0.2<=a){
f<- print("semiarido")
}else if(10.05<=a){
f<- print("arido")
}else if(0<=a){
f<- print("Hiperarido")
}
clasificacionIA<-c(f,clasificacionIA)
}
length(clasificacionIA)
clasif<-tibble(indic_ar, clasificacionIA)
view(clasif)
#d)
g1<-ggplot(data = data_nueva, mapping = aes(x = AAA, y = pcp, color= AAA)) +
geom_boxplot()
data_nueva %>%
filter(AAA== "X")
g2<-ggplot(data = data_nueva, mapping = aes(x = AAA, y = pet, fill= AAA)) +
geom_boxplot()+scale_fill_brewer(palette="Paired")
knitr::opts_chunk$set(echo = TRUE)
plot(pressure)
#1
tangente_hiperbolica<-seq(-10,10,0.5)
tangente_hiperbolica
tanh<-function(a){
r<-(exp(2*a)-1)/(exp(2*a)+1)
return(r)
}
solucion<-tanh(tangente_hiperbolica)
plot(tangente_hiperbolica,solucion,type="l")
#2
ecua_regresion<-function(v1,v2){
X1<-c()
Y2<-c()
for(i in 1:length(v1)){
x<-log10(v1[i])
y<-log10(v2[i])
X1<-c(X1,x)
Y2<-c(Y2,y)
}
multip<-X1*Y2
X1_alcuadrado<-X1^2
n<-length(v1)
B<-((n*sum(multip))-(sum(X1)*sum(Y2)))/((n*sum(X1_alcuadrado))-(sum(X1))^2)
A<-10^(mean(Y2)-B*mean(X1))
return(c(A,B))
}
x<-c(2.5,3,4,5,5.5,6,7)
y<-c(12.5,10,7,4.5,4,3,3.5)
ecua_regresion(x,y)
# 3
AyP <- function (l1, l2, l3 ) {
p <-  sum(l1, l2, l3)
area <- sqrt(p/2*(p/2-l1)*(p/2-l2)*(p/2-l3))
return(c(area, p))
}
AyP(4,11,8)
# 4
TiemCo <- function ( L , CN , S ) {
resultado <- ( 0.0136*( L ^ 0.8 )*((( 1000 / CN ) - 9)^0.7))/S^0.5
return(resultado)
}
TiemCo(6,15,8)
#5
CSSE<-function(v,r){
m<-matrix(v,ncol = 3)
ds<-det(m)
for (n in 1:length(r)) {
if(n==1){
m<-matrix(v,ncol = 3)
m[,n]<-r
dx<-det(m)
}else if(n==2){
m<-matrix(v,ncol = 3)
m[,n]<-r
dy<-det(m)
}else{
m<-matrix(v,ncol = 3)
m[,n]<-r
dz<-det(m)
}
}
x<-dx/ds
y<-dy/ds
z<-dz/ds
r<-c(x,y,z)
return(r)
}
variables_xyz<-c(2,5,1,1,-4,-1,3,1,-4)
resul_de_SE<-c(7,-19,4)
CSSE(variables_xyz,resul_de_SE)
#d)
g1<-ggplot(data = data_nueva, mapping = aes(x = AAA, y = pcp, color= AAA)) +
geom_boxplot()
g1<-ggplot(data = data_nueva, mapping = aes(x = AAA, y = pcp, color= AAA)) +
geom_boxplot()
view(clasif)
clasif %>%
group_by(clasificacionIA)
View(clasificacionIA)
clasif %>%
group_by(clasificacionIA) %>%
summarise()
View(clasificacionIA)
View(clasif)
tablita<-clasif %>%
group_by(clasificacionIA) %>%
summarise()
View(tablita)
tablita<-clasif %>%
group_by(clasificacionIA, pp_prom) %>%
summarise()
View(cla)
View(clasificacionIA)
tablita<-clasif %>%
group_by(clasificacionIA) %>%
summarise(indic_ar=n())
View(tablita)
poligono<-function(df1){
objeto_sf<- st_as_sf(df1, coords = c("ESTE", "NORTE"),crs = st_crs(32718))
graf<-ggplot(objeto_sf, mapping = aes(ESTE, NORTE, color= Orange))+
geom_polygon()+geom_label(aes(label=codigo))
return(graf)