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Qiliang Liu
Qiliang Liu
Central South University
Verified email at connect.polyu.hk - Homepage
Title
Cited by
Cited by
Year
An adaptive spatial clustering algorithm based on Delaunay triangulation
M Deng, Q Liu, T Cheng, Y Shi
Computers, Environment and Urban Systems 35 (4), 320-332, 2011
1432011
A density-based spatial clustering algorithm considering both spatial proximity and attribute similarity
Q Liu, M Deng, Y Shi, J Wang
Computers & Geosciences 46, 296-309, 2012
1382012
A general method of spatio-temporal clustering analysis
M Deng, QL Liu, JQ Wang, Y Shi
Science China Information Sciences 56, 1-14, 2013
592013
Multi-level method for discovery of regional co-location patterns
M Deng, J Cai, Q Liu, Z He, J Tang
International Journal of Geographical Information Science 31 (9), 1846-1870, 2017
452017
空间聚类分析及应用
邓敏刘启亮
科学出版社, 2011
41*2011
Adaptive detection of statistically significant regional spatial co-location patterns
J Cai, Q Liu, M Deng, J Tang, Z He
Computers, Environment and Urban Systems 68, 53-63, 2018
342018
Heterogeneous space–time artificial neural networks for space–time series prediction
M Deng, W Yang, Q Liu, R Jin, F Xu, Y Zhang
Transactions in GIS 22 (1), 183-201, 2018
342018
A novel method for discovering spatio-temporal clusters of different sizes, shapes, and densities in the presence of noise
Q Liu, M Deng, J Bi, W Yang
International Journal of Digital Earth 7 (2), 138-157, 2014
342014
Recognizing building groups for generalization: a comparative study
M Deng, J Tang, Q Liu, F Wu
Cartography and Geographic Information Science 45 (3), 187-204, 2018
302018
A hybrid method for interpolating missing data in heterogeneous spatio-temporal datasets
M Deng, Z Fan, Q Liu, J Gong
ISPRS International Journal of Geo-Information 5 (2), 13, 2016
272016
Geographically weighted extreme learning machine: A method for space–time prediction
M Deng, W Yang, Q Liu
Geographical Analysis 49 (4), 433-450, 2017
262017
Entropy-based cartographic communication models: Evolution from special to general cartographic information theory
LI Zhilin, LIU Qiliang, GAO Peichao
Acta Geodaetica et Cartographica Sinica 45 (7), 757, 2016
262016
一种基于多约束的空间聚类方法
刘启亮, 邓敏, 石岩, 彭东亮
测绘学报 40 (4), 509-516, 2011
26*2011
Modeling the effect of scale on clustering of spatial points
Q Liu, Z Li, M Deng, J Tang, X Mei
Computers, Environment and Urban Systems 52, 81-92, 2015
232015
SNN_flow: a shared nearest-neighbor-based clustering method for inhomogeneous origin-destination flows
Q Liu, J Yang, M Deng, C Song, W Liu
International Journal of Geographical Information Science 36 (2), 253-279, 2022
222022
Adaptive detection of spatial point event outliers using multilevel constrained Delaunay triangulation
Y Shi, M Deng, X Yang, Q Liu
Computers, Environment and Urban Systems 59, 164-183, 2016
222016
An adaptive detection of multilevel co-location patterns based on natural neighborhoods
Q Liu, W Liu, M Deng, J Cai, Y Liu
International Journal of Geographical Information Science 35 (3), 556-581, 2021
202021
Nonparametric significance test for discovery of network‐constrained spatial co‐location patterns
J Cai, M Deng, Q Liu, Z He, J Tang, X Yang
Geographical Analysis 51 (1), 3-22, 2019
202019
Multi‐scale approach to mining significant spatial co‐location patterns
M Deng, Z He, Q Liu, J Cai, J Tang
Transactions in GIS 21 (5), 1023-1039, 2017
202017
基于场论的空间聚类算法
邓敏, 刘启亮, 李光强, 程涛
遥感学报, 694-709, 2010
20*2010
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