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北京大学 [6]
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期刊论文 [10]
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会议论文 [1]
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Comparative performance assessment of landslide susceptibility models with presence-only, presence-absence, and pseudo-absence data
期刊论文
JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 12, 页码: 2961-2981
作者:
Zhao, Dong-mei
;
Jiao, Yuan-mei
;
Wang, Jin-liang
;
Ding, Yin-ping
;
Liu, Zhi-lin
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2023/02/17
Landslide susceptibility mapping
Presence-only data
Presence-absence data
Pseudoabsence data
ROC-AUC
A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods
期刊论文
CATENA, 2019, 卷号: 183, 页码: 17
作者:
Zhu, A-Xing
;
Miao, Yamin
;
Liu, Junzhi
;
Bai, Shibiao
;
Zeng, Canying
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2020/05/19
Landslide absence data
Sampling method
Data-driven methods
Landslide susceptibility mapping, similarity model, data mining and machine learning
An EEMD-ICA Approach to Enhancing Artifact Rejection for Noisy Multivariate Neural Data
期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2016, 卷号: 24, 期号: 6
作者:
Zeng, Ke
;
Chen, Dan
;
Ouyang, Gaoxiang
;
Wang, Lizhe
;
Liu, Xianzeng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Absence seizure
artifact rejection
electroencephalographic (EEG)
ensemble empirical mode decomposition (EEMD)
independent component analysis (ICA)
nonlinear data
nonstationary data
Climate change threatens giant panda protection in the 21st century
SCI/SSCI论文
2015
作者:
Li R. Q.
;
Xu, M.
;
Wong, M. H. G.
;
Qiu, S.
;
Li, X. H.
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2015/12/09
Biotic interaction
Climate change
Conservation effectiveness
Conservation policies
Giant panda habitats
species distribution models
biotic interactions
nature-reserves
envelope models
absence data
distributions
china
habitat
biodiversity
impacts
Climate change-induced decline in bamboo habitats and species diversity: implications for giant panda conservation
SCI/SSCI论文
2015
作者:
Li R. Q.
;
Xu, M.
;
Wong, M. H. G.
;
Qiu, S.
;
Sheng, Q. K.
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2015/12/09
Bamboo species
climate change
MAXENT
panda conservation
species
diversity
biotic interactions
extinction risk
change impacts
ecological
responses
distribution models
envelope models
absence data
biodiversity
china
distributions
A software framework for classification models of geographical data
期刊论文
计算机与地学, 2012
Liu, Yu
;
Guo, Qinghua
;
Tian, Yuan
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2015/11/10
Supervised classification algorithm
Classification of geographical data
Presence-only data
Software framework
PSEUDO-ABSENCE DATA
ECOLOGICAL-NICHE
SPATIAL AUTOCORRELATION
SPECIES DISTRIBUTIONS
LANDSLIDE HAZARD
PREDICTION
GIS
SHENZHEN
REGRESSION
CHINA
Predicting potential distributions of geographic events using one-class data: concepts and methods
期刊论文
international journal of geographical information science, 2011
Guo, Q.
;
Li, W.
;
Liu, Y.
;
Tong, D.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2015/11/12
geographic one-class data
one-class support vector machine
maximum entropy
positive and unlabelled learning
ecological niche modelling
VECTOR DOMAIN DESCRIPTION
SAMPLE SELECTION BIAS
PRESENCE-ONLY DATA
SPECIES DISTRIBUTION
BIODIVERSITY INFORMATION
DISTRIBUTION MODELS
UNLABELED DATA
ABSENCE DATA
CLASSIFICATION
SUPPORT
Giant panda habitat selection in Foping Nature Reserve, China
期刊论文
2010, 2010, OCT
Liu, XH
;
Toxopeus, AG
;
Skidmore, AK
;
Shao, XM
;
Dang, GD
;
Wang, TJ
;
Prins, HHT
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2017/06/15
Ailuropoda melanoleuca
China
Foping Nature Reserve
giant panda
habitat selection
habitat use
giant panda presence
giant panda absence
AVAILABILITY DATA
Ecology
Zoology
Research of error correction of LEO satellite orbit prediction for vehicle-borne tracking and position device (EI CONFERENCE)
会议论文
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Zhang P.-L.
;
Guo L.-H.
;
Wang J.-J.
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2013/03/25
Vehicle-borne tracking and position device is used to track LEO satellite. Because of the absence of the target which might be caused by cloud or zenith blind zone
the forecasting data will be used to acquire the target. While orbit prediction has serious errors
the target is always missed. Meanwhile
in its application to the vehicle-borne tracking and position device
due to the base of instability in the tracking process
it will result in significant difference between predicting data and tracking data
so the target will be not tracked rapidly. We applied tracking data to predict satellite orbits by improving Laplace method
and then corrected the error between Predicted data and actual measured data by interpolation method of Lagrange which improves the accuracy of prediction values. The testing data shows the accuracy of predicted data ranging from 3' to 10" for both azimuth and elevation when extrapolated satellite orbit to 7 seconds time. 2010 IEEE.
A new method of pseudo absence data generation in landslide susceptibility mapping with a case study of Shenzhen
期刊论文
science china technological sciences, 2010
Xiao ChenChao
;
Tian Yuan
;
Shi WenZhong
;
Guo QingHua
;
Wu Lun
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2015/11/10
pseudo absence data
landslide susceptibility mapping
GIS
GAM
GENERALIZED ADDITIVE-MODELS
ARTIFICIAL NEURAL-NETWORKS
LOGISTIC-REGRESSION
GIS
CLASSIFICATION
PREDICTION
HAZARD
APENNINES
TURKEY
RIVER
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