Speaker
Description
This workshop introduces participants to the analytics of spatial geo-located point data. It starts with data processing (reading to sf class, visualisation in ggplot, plot and interactive mapview, CRS re-projecting); then it continues with detection of density clusters (QDC, DBSCAN), degree of agglomeration (using entropy-based ETA and SPAG) and comparison of density patterns by further processing KDE (Kernel Density Estimation) results (k-means and hierarchical clustering, Rand Index for similarity of clusters). It presents how to determine local neighbourhood structure across space using k-nearest neighbours, radial catchment areas, rasters, and spatial weights matrices. All those methods are applied to business locations and population settlement – the interpretation focuses on understanding differences in the spatial distributions of socio-economic phenomena within the region. Participants will learn practical techniques for handling real-world spatial data with special focus on reproducibility on the own dataset. The tutorial is based on the content of the book by K.Kopczewska (2025) titled “Modelling Spatial Density: Data, Methods, and R Applications in Statistics, Econometrics, and Machine Learning” (Oxford University Press), while online resources are available at https://rpubs.com/Kathy_Kopczewska/1244082. It will use the spatialWarsaw R package (available at GitHub).
If you used AI tools or services to support the preparation of this submission, please state the name and reason for using each of them.
No AI tools / serveices were used
Prerequisites (only for tutorials)
Basic R knowledge (data frames, functions, loops), Laptop with R installed,
Target audience (only for tutorials)
researchers, policy analysts, data scientists
Additional Material or Paper
https://global.oup.com/academic/product/modelling-spatial-density-9780198975182?lang=en&cc=pl
Learning goals (only for tutorials)
This tutorial is to learn how to deal with geo-located point data and how to extract information on spatial density
| Keywords: Please list up to 5 keywords to help us find the right session for your contribution. | sf; GIS; spatial density; geo-located data |
|---|---|
| Virtual Option | This submission is for onsite presentation only |
| Material License | https://rpubs.com/Kathy_Kopczewska/1244082 |
| Video Recording | Video sharing is fine |
| The author(s) agree(s) to take responsibility and be accountable for the contents of the submission and is/are authorized to present it. | Confirm |
| Interested in serving as reviewer? | kkopczewska@wne.uw.edu.pl |