Back to Search
Start Over
A partition‐free spatial clustering that preserves topology: application to built‐up density
- Source :
- Journal of Geographical Systems : geographical information, analysis, theory and decision, (2022)
- Publication Year :
- 2022
-
Abstract
- Urban density is central to urban research and planning and can be defined in numer- ous ways. Most measures of urban density however are biased by arbitrary chosen spatial units at their denominator and ignore the relative location of elementary urban objects within those units. We solve these two problems by proposing a new graph-based density index which we apply to the case of buildings in Belgium. The method includes two main steps. First, a graph-based spatial descending hierarchical clustering (SDHC) delineates clusters of buildings with homogeneous inter-building distances. A Moran scatterplot and a maximum Cook’s distance are used to prune the minimum spanning tree at each iteration of the SDHC. Second, within each clus- ter, the ratio of the number of buildings to the sum of inter-building distances is cal- culated. This density of buildings is thus defined independently of the definition of any basic spatial unit and preserves the built-up topology, i.e. the relative position of buildings. The method is parsimonious in parameters and can easily be transferred to other punctual objects or extended to account for additional attributes.
Details
- Database :
- OAIster
- Journal :
- Journal of Geographical Systems : geographical information, analysis, theory and decision, (2022)
- Notes :
- UCL - SSH/LIDAM/CORE - Center for operations research and econometrics, Montero Redondo, Gaëtan, Caruso, Geoffrey, Hilal, Mohamed, Thomas, Isabelle
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1372945138
- Document Type :
- Electronic Resource