Effects of climate and landscape heterogeneity on the distribution of ground beetles (Coleoptera: Carabidae) in agricultural fields

Eo, Jinu; Kim, Myung‐Hyun; Bang, Hea-Seon; Choi, Soon-Kun; Na, Young‐Eun; Cho, Kwang-Jin; Oh, Young-Ju; Yang, DongWoo

doi:10.1016/j.aspen.2016.08.012

Cited by 4 publications

(1 citation statement)

References 34 publications

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“…And they identified the possibility of improved targeting of CTO and specific treament planning. In biology, Eo et al [6] used clustering analysis to divide the ground beetle community into two groups and by deep analysis and comparison included that climate and heterogeneous landscape compositions may influence the distribution of ground beetle communities in agricultural fields. Adamczyk et al [7] aimed to examine the possibility of using cluster analysis to assess physical activity of dairy cows milked in the Voluntary Milking System while taking into account environmental conditions.…”

Section: Related Workmentioning

confidence: 99%

Clustering Analysis on the Introduction of Talents in Colleges

Fang¹

2018

IJDST

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Abstract:With the development of economy and technology, introducing and training talents have become the key driving force in the world which can enhance the competitive strength of the whole countries. Therefore, the strategies of strengthening the universities and colleges with more talented people and making efforts to implement the construction of "Double top" are put forward in the same time. Methods of clustering analysis have been widely used in the actual researches. In this study, an effective clustering analysis model by comparing the clustering analysis under different dimensionality reduction methods is established. Firstly, preprocess the data about talent introduction which is collected from Zhejiang University of Finance and Economics, and use Principal Component Analysis (PCA), Weighted Principal Component Analysis (Weighted-PCA) and Random Forest (RF) to reduce the dimensions of the data. Next, use K-means clustering algorithm and K-medoids clustering algorithm to cluster the preprocessed data. The classification results indicate that the K-medoids algorithm with Weighted-PCA is superior to other clustering methods in this illustrative case. In addition, the experiment divides talents into high-end talents and mid-end talents. By looking into the analysis of the characteristics of the clustering results, some targeted advices on the talents introduction in colleges can be provided.

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Section: Related Workmentioning

confidence: 99%

Clustering Analysis on the Introduction of Talents in Colleges

Fang¹

2018

IJDST

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Can Occurrence and Distribution of Ground Beetles (Carabidae) Be Influenced by the Coffee Farming System in the Mount Elgon Region of Uganda?

et al. 2021

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Plant cover associated with aboveground net primary productivity (ANPP) mediates insect community composition in steppes of Northwest China

Zhao

Reddy

Wei

et al. 2018

Journal of Asia-Pacific Entomology

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P l a n t c o v e r a s s o c i a t e d w i t h a b o v e g r o u n d n e t p r im a r y p r o d u c t i v i t y ( AN P P ) m e d i a t e s i n s e c t c omm u n i t y c om p o s i t i o n i n s t e p p e s o f N o r t hw e s t C h i n a A u t h o r s : Z i h u a Z h a o a , G a d i V . P . R e d d y , S h u h u aW e i , M e n gm e n g Z h u , K a i y a n g Z h a n g , H o n g q i a n Y u , Z h a n j u n W a n g , Q i J i a n g , a n d R o n g Z h a n g NO T IC E : t h i s i s t h e a u t h o r ' s v e r si o n o f a w o r k t h a t w a s a c c e p t e d f o r p u b l i c a t i o n i n J o u r n a l o f A s i a -P a c i f i c E n t om o l o g y . C h a n g e s r e s u l t i n g f r om t h e p u b l i s h i n g p r o c e s s , s u c h a s p e e r r e v i ew , e d i t i n g , c o r r e c t i o n s , s t r u c t u r a l f o rm a t t i n g , a n d o t h e r q u a l i t y c o n t r o l m e c h a n i sm s m a y n o t b e r e f l e c t e d i n t h i s d o c um e n t . C h a n g e s m a y h a v e b e e n m a d e t o t h i s w o r k s i n c e i t w a s s u bm i t t e d f o r p u b l i c a t i o n .

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Effects of climate and landscape heterogeneity on the distribution of ground beetles (Coleoptera: Carabidae) in agricultural fields

Cited by 4 publications

References 34 publications

Clustering Analysis on the Introduction of Talents in Colleges

Clustering Analysis on the Introduction of Talents in Colleges

Can Occurrence and Distribution of Ground Beetles (Carabidae) Be Influenced by the Coffee Farming System in the Mount Elgon Region of Uganda?

Plant cover associated with aboveground net primary productivity (ANPP) mediates insect community composition in steppes of Northwest China

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