desarrollo

parcial.R

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+install.packages("tidyverse")
+library(tidyverse)
+install.packages("ggplot2")
+library(ggplot2)
+install.packages("sf")
+library(sf)
+install.packages("raster")
+library(raster)
+library(rgdal)
+library(dplyr)
+
+
+
+#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)
+
+#PARTE2
+
+#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)) +
+  geom_point(color = "purple")+
+  labs(y="promedio_AAA", x = "AAA")+
+  ggtitle("Precipitacion promedio por Autoridad 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)
+ggplot(data = data_nueva, mapping = aes(x = AAA, y = pcp)) +
+  geom_boxplot()
+
+data_nueva %>%
+  filter(AAA== "X")
+
+ggplot(data = data_nueva, mapping = aes(x = AAA, y = pet)) +
+  geom_boxplot()+scale_fill_brewer(palette="Dark2")
+
+#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))
+  return(plot(objeto_sf, type= "l"))
+}
+poligono(df1)
+
+
+
+
+
+
+
+
+
+#------------------------------

parcial_res.R

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+install.packages("tidyverse")
+library(tidyverse)
+install.packages("ggplot2")
+library(ggplot2)
+install.packages("sp")
+library(sp)
+install.packages("sf")
+library(sf)
+install.packages("raster")
+library(raster)
+library(rgdal)
+library(dplyr)
+install.packages("gganimate")
+library(gganimate)
+install.packages("gganimate")
+library(gganimate)
+#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)
+
+#PARTE2
+
+#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)
+clasificacionIA %>% 
+
+#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(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)
+
+
+
+
+
+
+
+
+
+#------------------------------