ScholarGate
Asistents

Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Identificēto eksemplāru skaits×Nodilietojuma analīze×
NozareArheoloģijaArheoloģija
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads19711980
AutorsR. E. ChaplinLawrence Keeley
TipsFaunal quantification methodTool function inference
PirmavotsChaplin, R. E. (1971). The Study of Animal Bones from Archaeological Sites. Seminar Press. link ↗Keeley, L. H. (1980). Experimental Determination of Stone Tool Uses. University of Chicago Press. link ↗
Citi nosaukumiNISP method, specimen countmicrowear, tool use analysis
Saistītās44
KopsavilkumsNumber of identified specimens (NISP) is a fundamental zooarchaeological method that quantifies the abundance of faunal remains by counting all identifiable bone fragments or specimens in an assemblage. Formalized by R. E. Chaplin and later refined by Donald Grayson and others, NISP is the most straightforward and widely used quantification metric in zooarchaeology. Despite its simplicity, NISP is sensitive to both cultural and taphonomic factors that affect preservation, fragmentation, and identification of bone assemblages.Use-wear analysis (also called microwear or tool-use analysis) is a method that infers the function of stone tools from microscopic wear patterns on their cutting edges and surfaces. Pioneered by Lawrence Keeley in the 1970s-1980s, this technique examines damage patterns, polishes, and edge rounding produced as tools contact different materials during use. By analyzing these wear patterns, archaeologists can determine whether a tool was used to cut plant material, meat, bone, hide, or wood—revealing detailed information about task specialization and subsistence practices in prehistoric societies.
ScholarGateDatu kopa
  1. v1
  2. 3 Avoti
  3. PUBLISHED
  1. v1
  2. 3 Avoti
  3. PUBLISHED

Doties uz meklēšanu Lejupielādēt slaidus

ScholarGateSalīdzināt metodes: Number of Identified Specimens · Use-Wear Analysis. Izgūts 2026-06-20 no https://scholargate.app/lv/compare