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科研机构
地理科学与资源研究所 [8]
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期刊论文 [4]
SCI/SSCI论文 [3]
EI期刊论文 [1]
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2020 [1]
2018 [1]
2013 [1]
2012 [2]
2009 [3]
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专题:地理科学与资源研究所
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Sensitivity and Uncertainty Analyses of Flux-based Ecosystem Model towards Improvement of Forest GPP Simulation
期刊论文
SUSTAINABILITY, 2020, 卷号: 12, 期号: 7, 页码: 18
作者:
Ma, Hanqing
;
Ma, Chunfeng
;
Li, Xin
;
Yuan, Wenping
;
Liu, Zhengjia
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/03/23
sensitivity analysis
flux-based ecosystem model
extended Fourier amplitude sensitivity test (EFAST)
Howland forest
Markov chain Monte Carlo
Modeling and uncertainty analysis of carbon and water fluxes in a broad-leaved Korean pine mixed forest based on model-data fusion
期刊论文
ECOLOGICAL MODELLING, 2018, 卷号: 379, 页码: 39-53
作者:
Ren, Xiaoli
;
He, Honglin
;
Zhang, Li
;
Li, Fan
;
Liu, Min
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/05/23
Sensitivity analysis
Uncertainty analysis
Morris global sensitivity analysis method
Markov Chain Monte Carlo (MCMC)
Sobol' variance decomposition method
Uncertainty analysis of modeled carbon and water fluxes in a subtropical coniferous plantation
SCI/SSCI论文
2013
作者:
Li F.
;
Zhang L.
;
Zhang L.
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  |  
浏览/下载:24/0
  |  
提交时间:2014/12/24
ecosystem model
sensitivity analysis
uncertainty analysis
Markov
Chain Monte Carlo (MCMC)
Sobol' method
net ecosystem exchange
sub-alpine forest
sensitivity-analysis
climate-change
parameter-estimation
diffuse-radiation
data
assimilation
co2 exchange
photosynthesis
feedbacks
Multi-scale decomposition of point process data
期刊论文
GEOINFORMATICA, 2012, 卷号: 16, 期号: 4, 页码: 625-652
Pei, T
;
Gao, JianHuan(高建寰)
;
Ma, T
;
Zhou, CH
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  |  
浏览/下载:33/0
  |  
提交时间:2013/04/08
Density based clustering method
Homogeneous point process
Wavelet transform
MCMC
EM
kth nearest distance
Multi-scale decomposition of point process data
SCI/SSCI论文
2012
作者:
Ma T.
;
Pei T.
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  |  
浏览/下载:29/0
  |  
提交时间:2014/12/24
Density based clustering method
Homogeneous point process
Wavelet
transform
MCMC
EM
kth nearest distance
nearest-neighbor method
delaunay triangulation
density-estimation
genetic algorithm
spatial-patterns
cluster-analysis
model
features
inference
space
DECODE: a new method for discovering clusters of different densities in spatial data
期刊论文
DATA MINING AND KNOWLEDGE DISCOVERY, 2009, 卷号: 18, 期号: 3, 页码: 337-369
作者:
Pei, Tao
;
Zhu, A-Xing
收藏
  |  
浏览/下载:189/45
  |  
提交时间:2011/05/25
Data mining
MCMC
Point process
Reversible jump
Nearest neighbor
Earthquake
DECODE: a new method for discovering clusters of different densities in spatial data
SCI/SSCI论文
2009
作者:
Pei T.
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  |  
浏览/下载:20/0
  |  
提交时间:2012/06/08
Data mining
MCMC
Point process
Reversible jump
Nearest neighbor
Earthquake
chain monte-carlo
point-processes
neighbor
features
earthquakes
foreshock
algorithm
sequence
DECODE: A new method for discovering clusters of different densities in spatial data
EI期刊论文
2009
作者:
Pei Tao
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  |  
浏览/下载:13/0
  |  
提交时间:2012/06/11
Bins
Information management
Markov processes
Seismic response
Seismic waves
Stress concentration
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