A fractal technique for the classification of projectile point shapes
Bibliographic Data
| ID | 12133443 |
|---|---|
| Authors | Stephen K Kennedy (University of Pittsburgh, corresponding author), Wei‐Hsiung Lin (University of Pittsburgh) |
| Year | 1988 |
| Volume | 3 |
| Issue | 4 |
| Pages | 297-301 |
| Publication date | 1988-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Geoarchaeology (JOURNAL) |
| Journal identifiers | ISSN: 0883-6353 • E-ISSN: 1520-6548 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/gea.3340030407 |
| OpenAlex | W2096502778 |
| Language | EN |
| Citations received | 7 |
| References cited | 3 |
Certain cultural information is expressed in the morphology of projectile points. the present paper presents a technique that can extract a large amount of information in the shape of these points. Using a concept from fractal geometry, the degree of shape irregularity is quantified. This technique can be used to document variability in shape of individual points within a point type, or among point types. In this paper, the shapes are segmented into two components (structural and textural), and points of similar characteristics plot closely in bivariate plots of these components. If necessary, the method can be modified to provide information at more than two scales
Bivariate analysis · Fractal · Fractal analysis · Fractal dimension · Geometry · Mathematical analysis · Pattern recognition (psychology · Physics · Plot (graphics · Point (geometry · Point distribution model · Projectile · Projectile point · Scatter plot · Statistics · Complex Systems and Time Series Analysis · Computer Science · Image Processing and 3D Reconstruction · Mathematics · Time Series Analysis and Forecasting · Artificial Intelligence · Geology
Remote Sensing, Fractals, and Cultural Landscapes
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A review of quantification of lithic use-wear using laser profilometry
The Broken Past
| Citations per year | 0.28 |
|---|---|
| Citation span | 2001 - 2015 (15) |
| Highly cited | No |