Principal components‐like procedures for cross‐tabulated recreation data
An illustration from search activity related to park choice
Bibliographic Data
| ID | 11216690 |
|---|---|
| Authors | James E Christensen (The Ohio State University, corresponding author) |
| Year | 1990 |
| Volume | 12 |
| Issue | 3 |
| Pages | 281-288 |
| Publication date | 1990-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Leisure Sciences (JOURNAL) |
| Journal identifiers | ISSN: 0149-0400 • E-ISSN: 1521-0588 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/01490409009513107 |
| OpenAlex | W1994405809 |
| Language | EN |
| References cited | 6 |
A principal components‐like method for analyzing cross‐tabulated recreation data is illustrated. Application of the proposed method is to data concerned with information search by re creationists selecting an urban park in which to recreate. The advantages of the methodology introduced over the usual methods for analyzing recreation data in cross‐classification tables are illustrated
Computer security · Data mining · Data science · Principal (computer security · Principal component analysis · Recreation · Agricultural and Rural Development Research · Artificial Intelligence · Computer Science · Ecology · Economic and Environmental Valuation · Genetic and phenotypic traits in livestock
| Citation velocity | historical |
|---|---|
| Highly cited | No |