Spatial data analysis Archives - SCDA

Simulation, Scheduling, Optimization, ERP

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, […]

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 […]

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 […]

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 […]

Spatial heatmaps with Folium in Python

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 […]

Geocoded markers with Geopy and Folium

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 […]

Folium map-based visualization in Python

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 […]

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