Gao Yi-yang

Zhejiang Ocean University

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Yan Bai

Second Institute of Oceanography

John C. Lehrter

Dauphin Island Sea Lab

Chengfeng Le

Zhejiang University

Ren Nan-ping

China University of Geosciences

Wei‐Jun Cai

University of Delaware

Zong‐Pei Jiang

Zhejiang University

Cooperative Institutions

Zhejiang Ocean University

Zhejiang University

Second Institute of Oceanography

Ministry of Natural Resources

Environmental Protection Agency

Gulf Marine Institute of Technology

University of Delaware

Shanghai Jiao Tong University

China National Institute of Standardization

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)

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Estimating summer sea surface pCO2 on a river-dominated continental shelf using a satellite-based semi-mechanistic model

Remote Sensing of Environment (2019)

Chengfeng Le Gao Yi-yang Wei‐Jun Cai John C. Lehrter Yan Bai

Alkalinity

10.1016/j.rse.2019.02.023

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Data mining and analysis of our agriculture based on the decision tree

Gao Yi-yang Ren Nan-ping

The decision tree is one of the common modeling methods to classify. Firstly, this paper introduces the concept of classification and the method of the decision tree. Then, this paper analyses the data of rural labor, arable land area and the gross output value of agriculture about 30 cities of China based on the decision tree, and adopts clustering analysis method to discretize continuous data during the process of data mining in order to subjectivity comparing to the traditional classification methods. Finally, generating the decision tree of our agriculture, thereby gaining the spatial classification rules and analyzing the rules.

Arable land

Tree (set theory)

10.1109/cccm.2009.5267962

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Citations (8)