Packages

library(dplyr)
Warning: package ‘dplyr’ was built under R version 4.3.3
Attaching package: ‘dplyr’

The following objects are masked from ‘package:raster’:

    intersect, select, union

The following objects are masked from ‘package:stats’:

    filter, lag

The following objects are masked from ‘package:base’:

    intersect, setdiff, setequal, union
library(ggplot2)
library(ggh4x)#grafico

Attaching package: ‘ggh4x’

The following object is masked from ‘package:ggplot2’:

    guide_axis_logticks
library(geobr) #pacote do ibge para polignos do BR
Registered S3 method overwritten by 'data.table':
  method           from
  print.data.table     
library(elevatr) #Haster de relevo br
elevatr v0.99.0 NOTE: Version 0.99.0 of 'elevatr' uses 'sf' and 'terra'.  Use 
of the 'sp', 'raster', and underlying 'rgdal' packages by 'elevatr' is being 
deprecated; however, get_elev_raster continues to return a RasterLayer.  This 
will be dropped in future versions, so please plan accordingly.
library(sp) #Polignos de Sao Paulo
library(sf) #vinculado ao ggplot2
Warning: package ‘sf’ was built under R version 4.3.3Linking to GEOS 3.11.2, GDAL 3.8.2, PROJ 9.3.1; sf_use_s2() is TRUE
library(cowplot)#combinar varios graficos
library(ggspatial) #colocar rosa dos ventos
Warning: package ‘ggspatial’ was built under R version 4.3.3

Experimental site

Data

BRA2 = read_country()
Using year 2010

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states = read_state()
Using year 2010

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MT = read_state(code_state = 51)
Using year 2010
municipios=read_municipality()
Using year 2010

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sinop = read_municipality(code_muni = 5107909)
Using year 2010
topo = get_elev_raster(sinop, z=8, clip='location') 

 Accessing raster elevation [-------------------------]   0%
                                                            

 Accessing raster elevation [-------------------------]   0%
 Accessing raster elevation [=========================] 100%
Mosaicing & Projecting
Clipping DEM to locations
Note: Elevation units are in meters.
topo_df <- as.data.frame(raster::rasterToPoints(topo))
names(topo_df) = c("x", "y", "elevation")

#Ponto unico da area experimental ()
site= c("Experimental site")
lat=c(-11.860912)
lon=c(-55.622340)
ponto=data.frame(site,lat,lon)

# Coordenadas para poligono da área experimental
points = c("1", "2", "3", "4")
lat1 = c(-11.859849,-11.855377,-11.861069,-11.865607)
lon1 = c(-55.628855,-55.616294,-55.615740,-55.628003)
area = data.frame(points, lat1, lon1)

# Criar um objeto SpatialPolygons
polygon = Polygon(cbind(area$lon1, area$lat1))
polygons = Polygons(list(polygon), "area")
area_sp = SpatialPolygons(list(polygons), proj4string = CRS("+proj=longlat +datum=WGS84"))

# Converter para um objeto sf e mudar o datum para o mesmo do poligono de Pira
area_sf = st_as_sf(area_sp, coords = c("x", "y"), crs = st_crs(sinop))
area_sf = st_transform(area_sf, crs = st_crs(sinop))
area_sf
Simple feature collection with 1 feature and 0 fields
Geometry type: POLYGON
Dimension:     XY
Bounding box:  xmin: -55.62886 ymin: -11.86561 xmax: -55.61574 ymax: -11.85538
Geodetic CRS:  SIRGAS 2000
                        geometry
1 POLYGON ((-55.62886 -11.859...

País

p1.1 = ggplot()+
  geom_sf(data=BRA2, color="blacK", fill="white")+
  geom_sf(data=states, color="blacK", fill="#d4de31")+
  geom_sf(data=MT, color="blacK", fill="#42b258")+
  geom_sf(data=sinop, color="blacK", fill="#232a6d")+
  theme_light()+
  labs(x="Longitude", y="Latitude")+
  ylim(-33,+4)+xlim(-75,-35)
p1.1

p1.2 = p1.1+
  theme(panel.background = element_rect(fill = "white"),
  axis.text = element_text(angle = 10, hjust = 0.6),
  axis.line = element_line(colour = "gray", size = 0.3, linetype = "solid"),
  panel.grid.major = element_line(color = "transparent"), 
  panel.grid.minor = element_line(color = "transparent"),
  legend.position = "NONE")+  
  guides(fill = guide_colorbar(title.position = "top", title.hjust = 0.5,title.vjust = 1.5))+
  annotate(geom="text", y=+3, x=-41,label="Brazil", size=6, color="black")+
  annotate(geom="text", y=-20, x=-67,label="Mato Grosso (MT)", size=4.5, color="black")
Warning: The `size` argument of `element_line()` is deprecated as of ggplot2 3.4.0.
Please use the `linewidth` argument instead.
p1.2

Estado

p2.1 = ggplot()+
  geom_sf(data=MT, color="blacK", fill="#42b258")+
  geom_raster(data = topo_df, aes(x = x, y = y, fill = elevation))+
  scale_fill_gradient(low = "#d4de31", high = "#232a6d", name = "Topography (m)")+
  geom_sf(data=sinop, color="blacK", fill="transparent")+
  theme_light()+
  labs(x="Longitude", y="Latitude")
p2.1

p2.2 = p2.1+
  theme(panel.background = element_rect(fill = "white"),
  axis.text = element_text(angle = 10, hjust = 0.6),
  axis.line = element_line(colour = "gray", size = 0.3, linetype = "solid"),
  panel.grid.major = element_line(color = "transparent"), 
  panel.grid.minor = element_line(color = "transparent"),
  legend.position = "NONE")+  
  guides(fill = guide_colorbar(title.position = "top", title.hjust = 0.5,title.vjust = 1.5))+
  annotate(geom="text", y=-19.4, x=-56,label="MT, Brazil", size=6, color="black")
p2.2
save_plot("P2.2.pdf", p2.2, ncol = 1, nrow = 1)

Cidade

p3.1 = ggplot()+
  geom_raster(data = topo_df, aes(x = x, y = y, fill = elevation))+
  geom_sf(data=sinop, color="blacK", fill="transparent")+
  geom_point(data= ponto, aes(x=lon, y=lat, color=site),shape = 1, size = 7, color = "red", fill = "white")+
  scale_fill_gradient(low = "#d4de31", high = "#42b258", name = "Topography (m)")+
  labs(x="Longitude", y="Latitude")
  #ylim(-22.9,-22.48)+xlim(-48.09,-47.495)
p3.1

p3.2 = p3.1 + 
  theme(
    panel.background = element_rect(fill = "transparent", colour = "grey", size = 0.4),
    axis.line = element_line(colour = "grey", size = 0.4, linetype = "solid"),
    axis.text = element_text(angle = 10, hjust = 0.6),
    panel.grid.major = element_line(color = "transparent"), 
    panel.grid.minor = element_line(color = "transparent"),
    legend.position = c(0.83, 0.15),  
    legend.direction = "vertical",
    legend.background = element_rect(fill = "transparent", size = 0.2, linetype = "solid", colour = "grey"),
    legend.text = element_text(size = 6, hjust = 1), 
    legend.title = element_text(size = 7),                        
    legend.key.size = unit(0.3, "cm")) +  
  guides(fill = guide_colorbar(title.position = "top", title.hjust = 0.5, title.vjust = 1.5)) +
  annotate(geom = "text", y = -11.23, x = -55.7, label = "Sinop, MT", size = 5, color = "black") +
  annotation_north_arrow(location = "tr",  # canto superior direito
                         which_north = "true",
                         pad_x = unit(0.2, "cm"),
                         pad_y = unit(0.2, "cm"),
                         style = north_arrow_fancy_orienteering())
Warning: The `size` argument of `element_rect()` is deprecated as of ggplot2 3.4.0.
Please use the `linewidth` argument instead.Warning: A numeric `legend.position` argument in `theme()` was deprecated in ggplot2 3.5.0.
Please use the `legend.position.inside` argument of `theme()` instead.
p3.2

Experimental site

p4.1 = ggplot()+
  geom_sf(data=sinop, color="blacK", fill="transparent")+
  geom_raster(data = topo_df_clipped, aes(x = x, y = y, fill = elevation))+
  scale_fill_gradient(low = "#d4de31", high = "#42b258", name = "Topography (m)")+
  labs(x="Longitude", y="Latitude")+
   geom_sf(data = area_sf, color = "black", fill="transparent", size = 1.5)+
  ylim(-11.868,-11.855)+xlim(-55.635,-55.612)
p4.1


p4.2=p4.1+ theme(
  panel.background = element_rect(fill = "transparent", colour = "grey",size = 0.4),
  axis.line = element_line(colour = "grey", size = 0.4, linetype = "solid"),
  axis.text = element_text(angle = 10, hjust = 0.6),
  panel.grid.major = element_line(color = "transparent"), 
  panel.grid.minor = element_line(color = "transparent"),
  legend.position = c(0.85, 0.25),  
  legend.direction = "vertical",
  legend.background = element_rect(fill = "transparent",size=0.4, linetype="solid",colour ="grey"),
  legend.text = element_text(angle = 30, hjust = 0.5))+  
  guides(fill = guide_colorbar(title.position = "top", title.hjust = 0.5,title.vjust = 1.5))+
  annotate(geom="text", y=-11.856, x=-55.630,label="Experimental site", size=4.5, color="black")
p4.2

---
title: "Graphical abstract - Alyce"
author: "Vagner Ovani"
date: "23/04/2025"
output:
  html_notebook:
    toc: TRUE
    toc_depth: 2
    theme: united
---

***

# _**Packages**_

```{r}
library(dplyr)
library(ggplot2)
library(ggh4x)#grafico
library(geobr) #pacote do ibge para polignos do BR
library(elevatr) #Haster de relevo br
library(sp) #Polignos de Sao Paulo
library(sf) #vinculado ao ggplot2
library(cowplot)#combinar varios graficos
library(ggspatial) #colocar rosa dos ventos
```


# _**Experimental site**_

## _**Data**_

```{r}
BRA2 = read_country()

states = read_state()

MT = read_state(code_state = 51)

municipios=read_municipality()

sinop = read_municipality(code_muni = 5107909)

topo = get_elev_raster(sinop, z=8, clip='location') 
topo_df <- as.data.frame(raster::rasterToPoints(topo))
names(topo_df) = c("x", "y", "elevation")

#Ponto unico da area experimental ()
site= c("Experimental site")
lat=c(-11.860912)
lon=c(-55.622340)
ponto=data.frame(site,lat,lon)

# Coordenadas para poligono da área experimental
points = c("1", "2", "3", "4")
lat1 = c(-11.859849,-11.855377,-11.861069,-11.865607)
lon1 = c(-55.628855,-55.616294,-55.615740,-55.628003)
area = data.frame(points, lat1, lon1)

# Criar um objeto SpatialPolygons
polygon = Polygon(cbind(area$lon1, area$lat1))
polygons = Polygons(list(polygon), "area")
area_sp = SpatialPolygons(list(polygons), proj4string = CRS("+proj=longlat +datum=WGS84"))

# Converter para um objeto sf e mudar o datum para o mesmo do poligono de Pira
area_sf = st_as_sf(area_sp, coords = c("x", "y"), crs = st_crs(sinop))
area_sf = st_transform(area_sf, crs = st_crs(sinop))
area_sf
```
## _**País**_

```{r}
p1.1 = ggplot()+
  geom_sf(data=BRA2, color="blacK", fill="white")+
  geom_sf(data=states, color="blacK", fill="#d4de31")+
  geom_sf(data=MT, color="blacK", fill="#42b258")+
  geom_sf(data=sinop, color="blacK", fill="#232a6d")+
  theme_light()+
  labs(x="Longitude", y="Latitude")+
  ylim(-33,+4)+xlim(-75,-35)
p1.1
p1.2 = p1.1+
  theme(panel.background = element_rect(fill = "white"),
  axis.text = element_text(angle = 10, hjust = 0.6),
  axis.line = element_line(colour = "gray", size = 0.3, linetype = "solid"),
  panel.grid.major = element_line(color = "transparent"), 
  panel.grid.minor = element_line(color = "transparent"),
  legend.position = "NONE")+  
  guides(fill = guide_colorbar(title.position = "top", title.hjust = 0.5,title.vjust = 1.5))+
  annotate(geom="text", y=+3, x=-41,label="Brazil", size=6, color="black")+
  annotate(geom="text", y=-20, x=-67,label="Mato Grosso (MT)", size=4.5, color="black")
p1.2
```

## _**Estado**_

```{r}
p2.1 = ggplot()+
  geom_sf(data=MT, color="blacK", fill="#42b258")+
  geom_raster(data = topo_df, aes(x = x, y = y, fill = elevation))+
  scale_fill_gradient(low = "#d4de31", high = "#232a6d", name = "Topography (m)")+
  geom_sf(data=sinop, color="blacK", fill="transparent")+
  theme_light()+
  labs(x="Longitude", y="Latitude")
p2.1
p2.2 = p2.1+
  theme(panel.background = element_rect(fill = "white"),
  axis.text = element_text(angle = 10, hjust = 0.6),
  axis.line = element_line(colour = "gray", size = 0.3, linetype = "solid"),
  panel.grid.major = element_line(color = "transparent"), 
  panel.grid.minor = element_line(color = "transparent"),
  legend.position = "NONE")+  
  guides(fill = guide_colorbar(title.position = "top", title.hjust = 0.5,title.vjust = 1.5))+
  annotate(geom="text", y=-19.4, x=-56,label="MT, Brazil", size=6, color="black")
p2.2
save_plot("P2.2.pdf", p2.2, ncol = 1, nrow = 1)
```

## _**Cidade**_

```{r}
p3.1 = ggplot()+
  geom_raster(data = topo_df, aes(x = x, y = y, fill = elevation))+
  geom_sf(data=sinop, color="blacK", fill="transparent")+
  geom_point(data= ponto, aes(x=lon, y=lat, color=site),shape = 1, size = 7, color = "red", fill = "white")+
  scale_fill_gradient(low = "#d4de31", high = "#42b258", name = "Topography (m)")+
  labs(x="Longitude", y="Latitude")
  #ylim(-22.9,-22.48)+xlim(-48.09,-47.495)
p3.1
p3.2 = p3.1 + 
  theme(
    panel.background = element_rect(fill = "transparent", colour = "grey", size = 0.4),
    axis.line = element_line(colour = "grey", size = 0.4, linetype = "solid"),
    axis.text = element_text(angle = 10, hjust = 0.6),
    panel.grid.major = element_line(color = "transparent"), 
    panel.grid.minor = element_line(color = "transparent"),
    legend.position = c(0.83, 0.15),  
    legend.direction = "vertical",
    legend.background = element_rect(fill = "transparent", size = 0.2, linetype = "solid", colour = "grey"),
    legend.text = element_text(size = 6, hjust = 1), 
    legend.title = element_text(size = 7),                        
    legend.key.size = unit(0.3, "cm")) +  
  guides(fill = guide_colorbar(title.position = "top", title.hjust = 0.5, title.vjust = 1.5)) +
  annotate(geom = "text", y = -11.23, x = -55.7, label = "Sinop, MT", size = 5, color = "black") +
  annotation_north_arrow(location = "tr",  # canto superior direito
                         which_north = "true",
                         pad_x = unit(0.2, "cm"),
                         pad_y = unit(0.2, "cm"),
                         style = north_arrow_fancy_orienteering())
p3.2
```

## _**Experimental site**_

```{r}
p4.1 = ggplot()+
  geom_sf(data=sinop, color="blacK", fill="transparent")+
  geom_raster(data = topo_df_clipped, aes(x = x, y = y, fill = elevation))+
  scale_fill_gradient(low = "#d4de31", high = "#42b258", name = "Topography (m)")+
  labs(x="Longitude", y="Latitude")+
   geom_sf(data = area_sf, color = "black", fill="transparent", size = 1.5)+
  ylim(-11.868,-11.855)+xlim(-55.635,-55.612)
p4.1

p4.2=p4.1+ theme(
  panel.background = element_rect(fill = "transparent", colour = "grey",size = 0.4),
  axis.line = element_line(colour = "grey", size = 0.4, linetype = "solid"),
  axis.text = element_text(angle = 10, hjust = 0.6),
  panel.grid.major = element_line(color = "transparent"), 
  panel.grid.minor = element_line(color = "transparent"),
  legend.position = c(0.85, 0.25),  
  legend.direction = "vertical",
  legend.background = element_rect(fill = "transparent",size=0.4, linetype="solid",colour ="grey"),
  legend.text = element_text(angle = 30, hjust = 0.5))+  
  guides(fill = guide_colorbar(title.position = "top", title.hjust = 0.5,title.vjust = 1.5))+
  annotate(geom="text", y=-11.856, x=-55.630,label="Experimental site", size=4.5, color="black")
p4.2
```

