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Geometric morphometrics: Current and future in China |
Ming Bai |
Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China |
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Abstract Although there were many ancient Chinese mathematicians contributed a lot on geometry, Geometric morphometrics (GM) in modern concept was not firstly proposed by Chinese. The super capability of geometric morphometrics in scientific computing and problem solving has gained a lot of attentions in the world. Until early of 21 centuries, geometric morphometrics was introduced into China. Since then, GM was rapidly applied in many research fields. However, it is a pity that GM is still not well-known in China as many works are published out of China. Thus, the special issue "Geometric morphometrics: Current shape and future directions" is organized. The present issue presents a series of contributions in this scientific field. In future, there will be many considerable new developing fields on GM needed to pay more attentions, for instances, 3D geometric morphometrics, 4D analysis, visualization of amber, new machine developing, new software developing, automatic identification system, etc. Once these technical bottle-necks on 3D data collecting and merging geometric morphometric data from multiple characters could be solved, the automatic identification system and other fields based on Big Data would come true.
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Fund:This research was supported by the National Natural Science Foundation of China (31672345) and Research Equipment Development Project of Chinese Academy of Sciences (YZ201509). |
Corresponding Authors:
Ming Bai
E-mail: baim@ioz.ac.cn
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[1] |
Jesus Marugán-Lobón. The Woodcock’s head: Resolving a morphological oddity using geometric morphometrics[J]. Zoological Systematics, 2017, 42(1): 102-107. |
[2] |
Norman MacLeod. Morphometrics: History, development methods and prospects[J]. Zoological Systematics, 2017, 42(1): 4-33. |
[3] |
Ming Bai, Jing Li, Wencheng Wang, Rolf G. Beutel, Benjamin Wipfler, Wangang Liu, Sha Li, Mengna Zhang, Yuanyuan Lu, Xingke Yang. A web based tool to merge geometric morphometric data from multiple characters[J]. Zoological Systematics, 2017, 42(1): 34-45. |
[4] |
Jean-Pierre Dujardin, Sebastien Dujardin, Dramane Kaba, Soledad Santillán-Guayasamin, Anita G. Villacís, Sitha Piyaselakul, Suchada Sumruayphol, Yudthana Samung, Ronald Morales Vargas. The maximum likelihood identification method applied to insect morphometric data[J]. Zoological Systematics, 2017, 42(1): 46-58. |
[5] |
Cesar Parra, Jonathan Liria. Shell geometric morphometrics in Biomphalaria glabrata (Mollusca: Planorbidae) uninfected and infected with Schistosoma mansoni[J]. Zoological Systematics, 2017, 42(1): 59-64. |
[6] |
Rongrong Li, Hufang Zhang, Shengcai Li, Ming Bai. Geometric morphometric analysis of Eysarcoris guttiger, E. annamita and E. ventralis (Hemiptera: Pentatomidae)[J]. Zoological Systematics, 2017, 42(1): 90-101. |
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