1990
DOI: 10.1016/0168-1923(90)90117-o
|View full text |Cite
|
Sign up to set email alerts
|

A climatic classification of plant hardiness in the United States and Canada

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
21
0
5

Year Published

1998
1998
2019
2019

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 37 publications
(26 citation statements)
references
References 10 publications
0
21
0
5
Order By: Relevance
“…CA is an effective statistical tool for grouping stations into climatologically homogeneous regions (DeGaetano & Shulman 1990, Ahmed 1997, DeGaetano 2001 and for grouping time periods into clusters that reflect the occurrence of weather events or patterns (Ramos 2001). The purpose of CA is to place objects into groups not defined previously, so that objects in a given cluster suggested by the data tend to be similar to each other in some sense, and objects in different clusters tend to be dissimilar.…”
Section: Regionalization Of Winter Rainfall In Spainmentioning
confidence: 99%
“…CA is an effective statistical tool for grouping stations into climatologically homogeneous regions (DeGaetano & Shulman 1990, Ahmed 1997, DeGaetano 2001 and for grouping time periods into clusters that reflect the occurrence of weather events or patterns (Ramos 2001). The purpose of CA is to place objects into groups not defined previously, so that objects in a given cluster suggested by the data tend to be similar to each other in some sense, and objects in different clusters tend to be dissimilar.…”
Section: Regionalization Of Winter Rainfall In Spainmentioning
confidence: 99%
“…Cluster analysis (CA) is one of the most useful tasks in the data mining process for discovering groups and identifying interesting patterns in the underlying data (Halkidi et al, 2001). It has come to be recognized as an effective statistical tool to deal with tasks for grouping stations into climatologically homogeneous regions (DeGaetano and Shulman, 1990;Ahmed, 1997;DeGaetano, 2001), or for grouping time periods into clusters that reflect the occurrence of weather events or patterns (Ramos, 2001). The purpose of CA is to place objects into groups suggested by the data, not defined previously, so that objects in a given cluster tend to be similar to each other in some sense, and objects in different clusters tend to be dissimilar.…”
Section: Introductionmentioning
confidence: 99%
“…In reality, plant survival is likely to be influenced by many factors including snow cover and winter rainfall (DeGaetano & Shulman, 1990;Oullett & Sherk, 1967;McKenney et al, 2001). Plant Hardiness zones are likely to be only a broad surrogate for potential plant distributions (McKenney et al, 2007).…”
Section: Discussionmentioning
confidence: 99%