Categorical Measurement Semantics
A New Second Space for Geography
Bibliographic Data
| ID | 5877679 |
|---|---|
| Authors | Ola Ahlqvist (The Ohio State University), Hyowon Ban (0000-0001-9638-1810, The Ohio State University) |
| Year | 2007 |
| Volume | 1 |
| Issue | 3 |
| Pages | 536-555 |
| Publication date | 2007-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Geography Compass (JOURNAL) |
| Journal identifiers | ISSN: 1749-8198 • E-ISSN: 1749-8198 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1749-8198.2007.00026.x |
| OpenAlex | W2009109235 |
| Language | EN |
| Citations received | 1 |
| References cited | 38 |
Commonly used categorically or nominally measured data often portray each category as separate from other categories with no inherent ordering. Contrary to this portrayal and the perception that categorical data offer limited analytical capabilities, we examine the philosophical, cognitive, and practical basis for re-thinking categorical measurements in terms of a second conceptual space for mapping out categorical semantics. The article presents a perspective that an inherent ordering of categories can be described through this space that provides a transformation into a numerical measurement domain. The article provides several examples of how geographic information analysis can benefit from adding this second conceptual space to the geographic data, together with a discussion of potential applications
Categorical variable · Data science · Epistemology · Machine learning · Perception · Computer Science · Data Management and Algorithms · Geochemistry and Geologic Mapping · Geographic Information Systems Studies · Mathematics · Artificial Intelligence
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| Unique citing works | 1 |
|---|---|
| Citations per year | 0,06 |
| Citation span | 2008 - 2008 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |