Distribution network visualization (Python)

One interesting domain of prescriptive analytics is network design and optimization, e.g. a hub-and-spoke distribution network. Optimal facility and capacity allocation is one example of this. Optimal flow design is another example: Where to source, where to store, and how to route to customers? Christian (https://cdruf.com/) demonstrated in his SCDA article how operations research is […]

Map-based charting in R (leaflet.minicharts)

In this article I will create map-based charts in R, using the leaflet.minicharts package in R. I already introduced Leaflet for creating markers on maps and for visualizing spatial distributions with density heatmaps. In this blog post I create barcharts, piecharts and polar area charts using leaflet.minicharts in R. Creating a basemap with Leaflet in […]

Monte-carlo simulation for warehouse allocation

In this article I present an exemplary application of monte-carlo simulation for warehouse allocation. Monte-carlo simulation is a very popular technique when it comes to risk assessment. In previous posts I have introduced implementations of monte-carlo simulations in Python and R. I e.g. used monte-carlo simulation to assess the risk associated with price developments of commodities […]

Spatial data visualization in Python and R

This article introduces the concept of spatial data visualization pipeline in R or Python. I have written various posts covering spatial data visualization for supply chain analysis and management, in both R and Python. Relevant libraries comprise e.g. Leaflet in Python, leaflet in R, deckgl in R and ggmap in R. I have also demonstrated […]

Spatial data animation: ggmap & gganimate

Following a series of introductionary posts on spatial data visualization in R, covering packages such as ggmap, leaflet, tidygeocoder, geopy, deckgl and osmdata, I here present a framework utilizing some relevant packages. The framework was developed in R. It was implemented in a real-world project and was used to visualize the spread of defined groups. […]