The location of all customers and internal manufacters
In the following code, I want to emphasize that the names of colors should have the first letter capitalized. For example, use “Red” instead of “red”.
You might be wondering why this is important, and I had the same question :)). After some online research, I found a response to a similar question about changing the color of markers in R using Leaflet Leaflet change color of markers (R).
It was mentioned that capitalizing the first letter allows R to color the markers based on different factors. If you don’t capitalize the first letter, R will color the markers randomly (I’m not sure why).
Code
#Setting the level of statusroute$Status<-fct_relevel(route$Status,"Control","Warning","Outstock")#Prepare palette for labeling control/warning/outstock:palPwr <- leaflet::colorFactor(palette =c("Lightgreen","Yellow","Red"), domain = route$Status,ordered = T)#Prepare font for labelingfont<-labelOptions(noHide = T, direction ="bottom",style =list("font-family"="serif","font-style"="ilatic","box-shadow"="3px 3px rgba(0,0,0,0.25)","font-size"="10px","border-color"="rgba(0,0,0,0.5)" ))#Plot map with leaflet:library(leaflet.extras)
Warning: package 'leaflet.extras' was built under R version 4.2.3
Code
leaflet(data = route) %>%addProviderTiles("CartoDB.Positron") %>%addCircleMarkers(radius =10, # size of the dotsfillOpacity = .7, # alpha of the dotsstroke =FALSE, # no outlinelabel =~labels,lng =~Longitude, lat =~Latitude, color =~palPwr(route$Status),clusterOptions =markerClusterOptions(),labelOptions = font) %>% leaflet::addLegend(position ="bottomright",values =~Status, # data frame column for legendopacity = .7,pal = palPwr, # palette declared earliertitle ="Status") %>%# legend titleƯaddResetMapButton()
The mini map by clustering the locations
Also for adjusting the base map, you can base on the preview of base map in Leaflet preview and copy the name of provider to paste in the argument {addProviderTitles}. For instance, I use provider = CartoDB.Positron.
Routing the vehicle’s path for Supply Chain Plan:
To set up the connection between RStudio and GitHub, you can use the source() function and assign the URL link of the GitHub repository that contains the R script you need. Remember to click on “Raw” to move to another page and then copy that URL.
I found the original code in Viktor Plamenov’s project on GitLab. I found it convenient to use, so I copied and uploaded it to my private GitHub repository. You can use this URL for your work.
The author created the package {vrpoptima} for easily install and using it. You can install by package {remote}, another details you can read in this link remotes
---title: "Spatial analyst"format: html: code-fold: true code-tools: true---So let's pratice !!!## Spatial analyst: Now let's start with data contains the information of longitude and latitude of customer's locations. Remember install data [optimize](index.qmd) before starting.```{r}#| include: false#| echo: falselibrary(readxl)optimize<-read.csv(r"(C:\\Users\\locca\\Documents\\Xuân Lộc\\VILAS\\Final project\\Optimize_df.csv)")## Call packages:pacman::p_load(rio, here, janitor, tidyverse, dplyr, magrittr, ggplot2, purrr, lubridate, knitr, shiny)``````{r}#| echo: true#| message: false#New manufacter:new_manufacter=data.frame(Customers =str_c(rep("Manufacter"),1:3),Latitude =c(21.12256201,21.68421,20.34250),Longitude =c(105.9150683,105.1940,106.2946),Total.transactions =c(0,0,0),Inventory =c(3000,2000,2500))route<-rbind(new_manufacter, optimize%>%select(Customers, Longitude, Latitude, Total.transactions) %>%mutate(Inventory =round(runif(50,100,400))))colnames(route)[4]<-"Demand"route$Node<-1:nrow(route)## Adding status:route$Status <-ifelse(route$Inventory - route$Demand >round(mean(route$Demand)/2),"Control",ifelse(route$Inventory- route$Demand >0,"Warning","Outstock" ))``` So we have enough data to pratice. Let show this data in map for clearly understading.### Map of supply chain management```{r}#| fig-cap: "The location of all customers and internal manufacters"#Prepare labels:labels<-paste0("<strong> Customers </strong> ", route$Customers, "<br/> ","<strong> Inventory: </strong> ", route$Inventory, "<br/> ","<strong> Demand </strong> ", route$Demand, "<br/> ","<strong> Status </strong> ", route$Status, "<br/> ") %>%lapply(htmltools::HTML)library(leaflet)library(fontawesome) #If you don't have, try to install by: devtools::install_github("rstudio/fontawesome")logos <-awesomeIconList(Customer =makeAwesomeIcon(icon ="home",iconColor ="white",markerColor ="blue",library ="fa"),Manufacter =makeAwesomeIcon(icon ="beer",iconColor ="gold",markerColor ="black",library ="fa"))#Prepare the logos:route$ticker<-c(rep("Manufacter",3),rep("Customer",nrow(route)-3))leaflet(data = route) %>%addTiles() %>%addAwesomeMarkers(lng =~Longitude, lat =~Latitude, label =~labels,icon =~logos[ticker]) %>%setView(lng =mean(route$Longitude), lat =mean(route$Latitude),zoom =7) ``` In the following code, I want to emphasize that the names of colors should have the first letter capitalized. For example, use "Red" instead of "red". You might be wondering why this is important, and I had the same question :)). After some online research, I found a response to a similar question about changing the color of markers in R using Leaflet [Leaflet change color of markers (R)](https://stackoverflow.com/questions/71726478/leaflet-change-color-of-markers-r). It was mentioned that capitalizing the first letter allows R to color the markers based on different factors. If you don't capitalize the first letter, R will color the markers randomly (I'm not sure why).```{r}#| fig-cap: "The mini map by clustering the locations"#Setting the level of statusroute$Status<-fct_relevel(route$Status,"Control","Warning","Outstock")#Prepare palette for labeling control/warning/outstock:palPwr <- leaflet::colorFactor(palette =c("Lightgreen","Yellow","Red"), domain = route$Status,ordered = T)#Prepare font for labelingfont<-labelOptions(noHide = T, direction ="bottom",style =list("font-family"="serif","font-style"="ilatic","box-shadow"="3px 3px rgba(0,0,0,0.25)","font-size"="10px","border-color"="rgba(0,0,0,0.5)" ))#Plot map with leaflet:library(leaflet.extras)leaflet(data = route) %>%addProviderTiles("CartoDB.Positron") %>%addCircleMarkers(radius =10, # size of the dotsfillOpacity = .7, # alpha of the dotsstroke =FALSE, # no outlinelabel =~labels,lng =~Longitude, lat =~Latitude, color =~palPwr(route$Status),clusterOptions =markerClusterOptions(),labelOptions = font) %>% leaflet::addLegend(position ="bottomright",values =~Status, # data frame column for legendopacity = .7,pal = palPwr, # palette declared earliertitle ="Status") %>%# legend titleƯaddResetMapButton()``` Also for adjusting the base map, you can base on the preview of base map in [Leaflet preview](https://leaflet-extras.github.io/leaflet-providers/preview/) and copy the name of provider to paste in the argument {addProviderTitles}. For instance, I use provider = `CartoDB.Positron`.## Routing the vehicle's path for Supply Chain Plan:To set up the connection between RStudio and GitHub, you can use the `source()` function and assign the URL link of the GitHub repository that contains the R script you need. Remember to click on "Raw" to move to another page and then copy that URL.I found the original code in Viktor Plamenov's project on [GitLab](https://gitlab.com/vikplamenov/vrpoptima/-/tree/main/R?ref_type=heads). I found it convenient to use, so I copied and uploaded it to my private GitHub repository. You can use this URL for your work.The author created the package {vrpoptima} for easily install and using it. You can install by package {remote}, another details you can read in this link [remotes](https://remotes.r-lib.org/reference/install_gitlab.html)```{r}#| include: false#| warning: false#| message: false# Repo must in format username/repo[@ref].remotes::install_gitlab("vikplamenov/vrpoptima")``````{r}#| warning: false#| message: falselibrary(vrpoptima)colnames(optimize)[2:3]<-c("lat","lon")colnames(new_manufacter)[2:3]<-c("lat","lon")mat_optimize<-as.matrix(optimize[,2:3])dist_optimize<-as.matrix(geodist::geodist(mat_optimize,measure ='haversine')/1000)mat_WH<-as.matrix(new_manufacter[,2:3])```Next, just simply add the criteria and run the code illustrated below.```{r}#| warning: false#| echo: false#Optimizing:(solution <-VehicleRouting(visit_points = mat_optimize,num_agents =nrow(new_manufacter),agent_points =as.matrix(new_manufacter[,2:3]),cost_type =2,max_tour_distance =250000,max_tour_visits =30,distance_metric ='Geodesic',distance_matrix = dist_optimize,min_tour =2,population_size =96,num_generations =1000, distance_truncation =TRUE, seed =42))```Finally, plot the results of optimization by two functions:* `PlotToursCombined` function: use to display of the combined routes created with the genetic program.* `PlotToursIndividual` function: use to display of the individual routes created with the genetic program.```{r}#Plot the results:routes <- solution$routesrownames(routes) <-1:nrow(routes)routes_list =RoutesDataPrep(routes = solution$routes, visit_points = mat_optimize, agent_points =as.matrix(new_manufacter[,2:3]))# Display all routes at the same timePlotToursCombined(solution = solution, routes_list = routes_list,agent_locations =as.matrix(new_manufacter[,2:3]),orientation ="vertical")# Display all the inidividual routes on a single figure blockPlotToursIndividual(solution = solution, routes_list = routes_list)```# References:Thanks to all authors of documentaions below that help me complete this pratice.* [leaflet](https://www.jla-data.net/eng/leaflet-in-r-tips-and-tricks/) by Jindra Lacko.* [How to Use Git/GitHub with R](https://rfortherestofus.com/2021/02/how-to-use-git-github-with-r) by David Keyes.* [Multiple Depot in VRP](https://gitlab.com/vikplamenov/vrpoptima/-/blob/main/R/VehicleRouting.R?ref_type=heads) by Viktor Plamenov.* [htmltools with R](https://3mw.albert-rapp.de/) by Albert Rapp.* [Dataui](https://timelyportfolio.github.io/dataui/articles/dataui_reactable.html)
