Spatial data analysis Archives - Supply Chain Data Analytics

Monte-carlo simulation in R for warehouse location risk assessment

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 […]

Spatial data visualization pipeline 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 […]

Spatial data animation with ggmap and gganimate: A use case example

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 […]

Spatial heatmaps in Python using Leaflet.js via Folium module

In previous posts I have demonstrated how one can geocode data and plot markers using Geopy and Folium in Python. I have also demonstrated heatmapping workflows in R, using packages such as Leaflet. In this post I want to use […]

Multiple geocoded map markers with Geopy and Folium in Python

In a previous post I have already demonstrated how to use Nominatim in Python (using the Geopy module) to geocode a location name into longitude and latitude coordinates. In this post I want to show how one can geocode a […]

Geocoding with Geopy in Python

I have already demonstrated various possibilities for geocoding spatial data in the form of city or location names in R, using APIs such as the one provided by Open Street Map. In this post I will demonstrate the possibility of […]

Intro to map-based visualization in Python, using Folium

Using Folium in Python one can display maps. Folium can be installed using pip install. Folium make use of the leaflet.js library. In a previous post I already demonstrated how to e.g. plot markers and heatmaps onto maps in R, […]

Geocoding spatial data with tidygeocoder in R

In previous posts I have demonstrated how to geocode location strings using the Open Street Map API in two different ways. The first approach was to implement a function that sents a string to the OSM API directly, using http. […]

Map-based scatter plots with deckgl in R

In this blogpost I provide a coding example in R for how to create a map-based scatterplot using the deckgl package. This can come in handy when visualising data with some spatial aspect. For example you might want to visualise […]

Geocoding with osmdata in R

In a previous post I demonstrated how one can generate map-based heatmap distribution plots using the Leaflet package in R. In that example I implemented a function that sends locations as strings to a Open Street Map API and then […]

Leaflet heatmaps in R

In this code example I use a geocoding function found on datascienceplus to geocode Google trends search intensity data, comparing search trend by city name for “Burger” and “Pizza” in Germany. I then visualize the results with heatmaps, generated with […]

Spatial data analysis

Monte-carlo simulation in R for warehouse location risk assessment

Spatial data visualization pipeline in Python and R

Spatial data animation with ggmap and gganimate: A use case example

Spatial heatmaps in Python using Leaflet.js via Folium module

Multiple geocoded map markers with Geopy and Folium in Python

Geocoding with Geopy in Python

Intro to map-based visualization in Python, using Folium

Geocoding spatial data with tidygeocoder in R

Map-based scatter plots with deckgl in R

Geocoding with osmdata in R

Leaflet heatmaps in R

Coding a Leaflet Shiny App for drawing heatmaps

Using deckgl in R for spatial data visualisation

Spatial SCM data visualisation in R

Map plots in R with ggplot2

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