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An Exploration into the Definition, Operationalization and Evaluation of Geographical Categories
| Content Provider | Semantic Scholar |
|---|---|
| Author | Gahegan, Mark Takatsuka, Masa Dai, Xiping |
| Copyright Year | 2001 |
| Abstract | Categories are essential to human reasoning, yet the tools we have at our disposal to discover, propose, apply and evaluate categories are still primitive. Current GIS often assume, a-priori, that the required categories for a specific exercise have been constructed by some external process. However, within the field sciences, it is often the case that categories must be proposed and refined in-situ, and through use. A further complication is the need to compromise between the needs of the analystwho wants to be able to study some phenomena using existing categories defined by existing taxonomic knowledge, and the capabilities of the data gathered and algorithms usedthat must be able to differentiate the required categories reliably. In this paper, we describe our latest progress towards developing an environment that supports the development and evaluation of categories. We show how a 'mixed initiative system', driven both by domain expertise (theory) and by data-oriented analysis tools (visualization and machine learning), can support the creation of categories that are both robust and useful. Theory is injected via a visual interface to the human expert, category separation is explored using visual and machine-based inductive analysis. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.geocomputation.org/2001/papers/gahegan.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
