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).
Additional Material or Paper
https://global.oup.com/academic/product/modelling-spatial-density-9780198975182?lang=en&cc=pl
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
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
Target audience (only for tutorials)
researchers, policy analysts, data scientists
Prerequisites (only for tutorials)
Basic R knowledge (data frames, functions, loops), Laptop with R installed,
| 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 |