Designing a Sample of Cores to Estimate the Number of Features at a Site
Bibliographic Data
| ID | 13085183 |
|---|---|
| Authors | Paul D Welch (Southern Illinois University Carbondale, corresponding author) |
| Year | 2013 |
| Volume | 1 |
| Issue | 1 |
| Pages | 47-58 |
| Publication date | 2013-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Advances in Archaeological Practice (JOURNAL) |
| Journal identifiers | ISSN: 2326-3768 • E-ISSN: 2326-3768 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.7183/2326-3768.1.1.47 |
| OpenAlex | W2335610723 |
| Language | EN |
| Citations received | 1 |
| References cited | 21 |
Previous literature dealing with designing samples of points on a grid focuses on finding all the targets in a sample area, as would be the case when shovel-testing to discover features or sites within an impact zone. That goal will be achieved most efficiently using offset-square or hexagonal grid patterns. However, if the goal is to estimate the number of features based on a probability sample, the optimum design is actually a square grid with a grid interval greater than the target diameter. This surprising but welcome result is due to the interaction of several nonlinear relationships between the grid interval, the target size, the number of sample points, and the probability of intersecting a feature, combined with the fact that square grids can avoid edge-effect biases more efficiently than the other designs. The square also requires the lowest total travel time. Substantial additional cost-efficiency can be gained by using a cluster design with at least five clusters
Combinatorics · Geometry · Grid · Grid pattern · Interval (graph theory · Offset (computer science · Sample (material · Sample size determination · Square (algebra · Square tiling · Statistics · Advanced Statistical Methods and Models · Computer Science · Mathematics · Optimal Experimental Design Methods · Soil Geostatistics and Mapping
Statistics for archaeologists
Sampling in Archaeology
Archaeological Survey
Advances in Archaeological Method and Theory
A New Look at Kincaid
Shovel-Test Sampling as a Site Discovery Technique
Architectural Variability in the Southeast
Design and Evaluation of Shovel-Test Sampling in Regional Archaeological Survey
Detection Functions for Archaeological Survey
The Effectiveness of Subsurface Testing
Quarter Sections and Forests
| Citations per year | 0.2 |
|---|---|
| Citation span | 2021 - 2021 (1) |
| Highly cited | No |