PlaceCrafter: Curating Urban Functional Regions through Platial Clustering of OpenStreetMap Points of Interest
Proceedings of OSMScience 2025
Abstract
The world is not just made of streets, buildings, and zones; it is shaped by how people engage and interact with places in their everyday lives. This manuscript presents a web-based geospatial tool that enables the mapping of these lived places and locales named PlaceCrafter. PlaceCrafter supports researchers in identifying platial regions: functional, human-centred areas that cross administrative and formal boundaries. The framework is built on OpenStreetMap, combining (near) real-time clustering, analysis, and statistical validation of these platial regions. PlaceCrafter is an initial demonstration for exploring the subjective experiences of place through existing datasets and city structures.
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Williams, J. & Priestnall, G. (2025). PlaceCrafter: Curating Urban Functional Regions through Platial Clustering of OpenStreetMap Points of Interest. Proceedings of OSMScience 2025.
@inproceedings{Williams2025PlaceCrafter,
author = {Williams, James and Priestnall, Gary},
title = {PlaceCrafter: Curating Urban Functional Regions through Platial Clustering of OpenStreetMap Points of Interest},
booktitle = {Proceedings of OSMScience 2025},
year = {2025},
address = {Manila, Philippines},
url = {/assets/papers/Williams2025PlaceCrafter.pdf},
abstract = {The world is not just made of streets, buildings, and zones; it is shaped by how people engage and interact with places in their everyday lives. This manuscript presents a web-based geospatial tool that enables the mapping of these lived places and locales named PlaceCrafter. PlaceCrafter supports researchers in identifying platial regions: functional, human-centred areas that cross administrative and formal boundaries. The framework is built on OpenStreetMap, combining (near) real-time clustering, analysis, and statistical validation of these platial regions. PlaceCrafter is an initial demonstration for exploring the subjective experiences of place through existing datasets and city structures.},
keywords = {Platial Information; OpenStreetMap; Geographic Information Systems; Clustering; Urban Planning; Place-based Computing}
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