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Multivariate statistical and other approaches for the separation of cereal from wild Poaceae pollen using a large Holocene dataset
J C Tweddle,
Kevin J. Edwards
, N R J Fieller
Geography & Environment
Research output
:
Contribution to journal
›
Article
103
Citations (Scopus)
Overview
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Dive into the research topics of 'Multivariate statistical and other approaches for the separation of cereal from wild Poaceae pollen using a large Holocene dataset'. Together they form a unique fingerprint.
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Arts & Humanities
Holocene
100%
Pollen
90%
Cereals
82%
Danmark
14%
Agricultural Change
13%
Discriminant Analysis
13%
Silicone
11%
Yorkshire
10%
Fossil
9%
Principal Component Analysis
8%
Prehistory
8%
England
8%
Crops
8%
Confidence
8%
Oil
7%
Earth & Environmental Sciences
cereal
75%
pollen
62%
Holocene
53%
grass
14%
agricultural change
13%
discriminant analysis
9%
principal component analysis
7%
fossil
6%
crop
6%
oil
5%
Agriculture & Biology
Poaceae
69%
pollen
54%
pollen characteristics
15%
grasses
14%
silicone
11%
grain crops
10%
fossils
10%
discriminant analysis
10%
England
9%
lowlands
9%
principal component analysis
8%
incidence
7%
oils
6%
sampling
3%
methodology
2%
Social Sciences
prehistory
23%
discriminant analysis
20%
agricultural product
18%
incidence
14%
confidence
13%
interpretation
10%