Behnisch, M and Ultsch, A (2009) Urban data-mining: Spatiotemporal exploration of multidimensional data. Building Research & Information, 37(5-6), pp. 520-532. ISSN 0961-3218
Abstract
'Urban data-mining' describes a methodological approach to reveal logical or mathematical and partly complex descriptions of patterns and regularities inside a set of geospatial data. The cyclical methodology procedure is characterized by six main tasks following the initial step of data collection: data inspection, structure visualization, structure definition, structure control, operationalization, and knowledge conversion. Geovisualization and spatial analysis supplement the process of knowledge conversion and communication. The multidimensional mining approach is presented as a case study applied to 12 430 German communities to analyse multidynamic characteristics between 1994 and 2004. In particular, Emergent Self Organizing Maps (ESOM) are performed as an appropriate method for clustering and classification. Their advantage is to visualize the structure of data and later on to define a number of feasible clusters. A good evidence-base for decision-makers and the implementation of planning tools would be the spatiotemporal exploration of multidimensional data leading to specific details, explanations and abstractions in the context of dynamic community behaviour. The presented techniques are expected to be of increasing interest for the management and development of building stocks, as well as for urban and regional planning processes.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | building stock; data-mining; geographic information science; spatiotemporal analysis; urban analysis |
| Index terms: | clustering, visualization, implementation, mining, methodology, exploration, urban and regional planning, evidence, self-organizing, science, building stock, inspection, conversion, maps, case study |
| Subjects: | contractual arrangements, data science, environmental resource management, specialized education, data collection methods, evaluation and assessment methods, quality assurance, sociology, geotechnical engineering, asset management, urban design, manufacturing engineering, design practice, spatial and geospatial analysis, research methods |
| Topics: | Organizational Design, Education, Quality Management, Design Practice, Digital Applications, Urban Studies, Procurement, Sustainability, Research Practice, Engineering Principles, Business Strategy |
| Descriptive scope: | 5 PCTEA |
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