Data collection and information loss in the study of spatial pattern
Bibliographic Data
| ID | 3919773 |
|---|---|
| Authors | A R Rogers (0000-0003-3987-3346, University of New Mexico, corresponding author) |
| Year | 1982 |
| Volume | 14 |
| Issue | 2 |
| Pages | 249-258 |
| Publication date | 1982-10-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | World Archaeology (JOURNAL) |
| Journal identifiers | ISSN: 0043-8243 • E-ISSN: 1470-1375 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00438243.1982.9979865 |
| OpenAlex | W2080834500 |
| Language | EN |
| Citations received | 4 |
| References cited | 4 |
In recording a spatial distribution some information is inevitably lost. In designing research it is important to ensure that techniques of data collection do not obscure those portions of the variation in spatial distributions which are of interest. This paper explores the relationships between data collection procedures and information loss. Formulae are presented which allow requirements concerning quadrat size or accuracy of measurement in point data to be calculated when the relevant components of spatial pattern can be specified
Data collection · Data mining · Geography · Point (geometry · Quadrat · Remote sensing · Spatial analysis · Spatial distribution · Statistics · Variation (astronomy · 3D Modeling in Geospatial Applications · Advanced Measurement and Metrology Techniques · Computer Science · Geology · Mathematics · Soil Geostatistics and Mapping
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,09 |
| Citation span | 1983 - 2017 (35) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |