A visualization approach for discovering colocation patterns
暂无分享,去创建一个
Chao Wu | Tinghua Ai | Na Wang | Mengjie Zhou | Yuli Gu | T. Ai | Mengjie Zhou | Chao Wu | Yuli Gu | Na Wang
[1] Xiaojuan Li,et al. Local Indicator of Colocation Quotient with a Statistical Significance Test: Examining Spatial Association of Crime and Facilities , 2017, ArXiv.
[2] H. Reichle,et al. Kapnometrie im Luftrettungsdienst - Experimentelle Untersuchungen zur Genauigkeit von drei CO2-Analysatoren in der Unterdruckkammer , 1994 .
[3] Min Sun,et al. A Classification Method for Choropleth Maps Incorporating Data Reliability Information* , 2015 .
[4] R. Lloyd,et al. VISUAL AND STATISTICAL COMPARISON OF CHOROPLETH MAPS , 1977 .
[5] T. Kinsman,et al. Color is not a metric space implications for pattern recognition, machine learning, and computer vision , 2012, 2012 Western New York Image Processing Workshop.
[6] Raúl Sierra-Alcocer,et al. Exploratory analysis of the interrelations between co-located boolean spatial features using network graphs , 2012, Int. J. Geogr. Inf. Sci..
[7] B. Ripley. The Second-Order Analysis of Stationary Point Processes , 1976 .
[8] 宋金平,et al. 美国地理学百年发展脉络分析―基于《Annals of the Association of American Geographers》学术论文的统计分析 , 2007 .
[9] Gennady L. Andrienko,et al. Knowledge-Based Visualization to Support Spatial Data Mining , 1999, IDA.
[10] Carlos Eduardo Scheidegger,et al. Hashedcubes: Simple, Low Memory, Real-Time Visual Exploration of Big Data , 2017, IEEE Transactions on Visualization and Computer Graphics.
[11] Luca Vogt. Statistics For Spatial Data , 2016 .
[12] Shashi Shekhar,et al. A Joinless Approach for Mining Spatial Colocation Patterns , 2006, IEEE Transactions on Knowledge and Data Engineering.
[13] Jian-guo Wu. Hierarchy and scaling: Extrapolating informa-tion along a scaling ladder , 1999 .
[14] J. Tasic,et al. Colour spaces: perceptual, historical and applicational background , 2003, The IEEE Region 8 EUROCON 2003. Computer as a Tool..
[15] P. J. Green,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[16] Jiechen Wang,et al. Network-constrained and category-based point pattern analysis for Suguo retail stores in Nanjing, China , 2016, Int. J. Geogr. Inf. Sci..
[17] Yue-Hong Chou,et al. Exploring spatial analysis in geographic information systems , 1997 .
[18] Tinghua Ai,et al. Spatial co-location pattern mining of facility points-of-interest improved by network neighborhood and distance decay effects , 2017, Int. J. Geogr. Inf. Sci..
[19] George F. Jenks,et al. ERROR ON CHOROPLETHIC MAPS: DEFINITION, MEASUREMENT, REDUCTION , 1971 .
[20] Haim Levkowitz,et al. From Visual Data Exploration to Visual Data Mining: A Survey , 2003, IEEE Trans. Vis. Comput. Graph..
[21] Terry A. Slocum. Thematic Cartography and Visualization , 1998 .
[22] Adrian Baddeley,et al. spatstat: An R Package for Analyzing Spatial Point Patterns , 2005 .
[23] Min Deng,et al. Multi-level method for discovery of regional co-location patterns , 2017, Int. J. Geogr. Inf. Sci..
[24] Shashi Shekhar,et al. A neighborhood graph based approach to regional co-location pattern discovery: a summary of results , 2011, GIS.
[25] Barry J. Kronenfeld,et al. The Colocation Quotient: A New Measure of Spatial Association Between Categorical Subsets of Points. 协同区位商:点集分类子集间空间关联性的新度量标准 , 2011 .
[26] Jianguo Wu,et al. CONCEPTS OF SCALE AND SCALING , 2006 .
[27] Min Sun,et al. A heuristic multi-criteria classification approach incorporating data quality information for choropleth mapping , 2017, Cartography and geographic information science.
[28] P. Diggle,et al. Spatial point pattern analysis and its application in geographical epidemiology , 1996 .
[29] Robert G. Cromley,et al. Geographically Weighted Colocation Quotients: Specification and Application , 2014 .
[30] Peter Bak,et al. Visual Analytics for Spatial Clustering: Using a Heuristic Approach for Guided Exploration , 2013, IEEE Transactions on Visualization and Computer Graphics.
[31] Shashi Shekhar,et al. Zonal Co-location Pattern Discovery with Dynamic Parameters , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[32] Valerie Isham,et al. A Bivariate Spatial Point Pattern of Ants' Nests , 1983 .
[33] Steven W. Running,et al. Testing scale dependent assumptions in regional ecosystem simulations , 1994 .
[34] Jürgen Symanzik,et al. Statistical Analysis of Spatial Point Patterns , 2005, Technometrics.
[35] Hao Huang,et al. Mining regional co-location patterns with kNNG , 2013, Journal of Intelligent Information Systems.
[36] Xiaoru Yuan,et al. Interactive Visual Discovering of Movement Patterns from Sparsely Sampled Geo-tagged Social Media Data , 2016, IEEE Transactions on Visualization and Computer Graphics.
[37] W. Tobler. A Computer Movie Simulating Urban Growth in the Detroit Region , 1970 .
[38] Jörg Sander,et al. Mining Statistically Significant Co-location and Segregation Patterns , 2014, IEEE Transactions on Knowledge and Data Engineering.
[39] Robert G. Cromley,et al. A concentration-based approach to data classification for choropleth mapping , 2015, Int. J. Geogr. Inf. Sci..
[40] Dino Pedreschi,et al. Interactive visual clustering of large collections of trajectories , 2009, 2009 IEEE Symposium on Visual Analytics Science and Technology.
[41] M. Sarifuddin. A New Perceptually Uniform Color Space with Associated Color Similarity Measure for Content-Based Image and Video Retrieval , 2005 .
[42] Cynthia A. Brewer,et al. Evaluation of Methods for Classifying Epidemiological Data on Choropleth Maps in Series , 2002 .
[43] Barry J. Kronenfeld,et al. Restricted random labeling: testing for between-group interaction after controlling for joint population and within-group spatial structure , 2015, J. Geogr. Syst..
[44] Ai Tinghua,et al. Mining Co-location Pattern of Network Spatial Phenomenon Based on the Law of Additive Color Mixing , 2017 .
[45] R. O'Neill,et al. Effects of changing spatial scale on the analysis of landscape pattern , 1989, Landscape Ecology.
[46] Rakesh Agarwal,et al. Fast Algorithms for Mining Association Rules , 1994, VLDB 1994.
[47] Yan Huang,et al. Discovering Spatial Co-location Patterns: A Summary of Results , 2001, SSTD.
[48] Jeremy Mennis,et al. Spatial data mining and geographic knowledge discovery - An introduction , 2009, Comput. Environ. Urban Syst..
[49] Hui Xiong,et al. Discovering colocation patterns from spatial data sets: a general approach , 2004, IEEE Transactions on Knowledge and Data Engineering.
[50] Nazha Selmaoui-Folcher,et al. Domain-driven co-location mining , 2014, GeoInformatica.
[51] M. Hutchings,et al. Standing crop and pattern in pure stands of Mercurialis perennis and Rubus fruticosus in mixed deciduous woodland , 1978 .
[52] Toshiaki Satoh,et al. A Class of Local and Global K Functions and Their Exact Statistical Methods , 2010 .
[53] Ye Zhao,et al. TrajGraph: A Graph-Based Visual Analytics Approach to Studying Urban Network Centralities Using Taxi Trajectory Data , 2016, IEEE Transactions on Visualization and Computer Graphics.
[54] Daniel A. Griffith,et al. Optimal Map Classification Incorporating Uncertainty Information , 2017 .
[55] Sergio J. Rey,et al. An evaluation of sampling and full enumeration strategies for Fisher Jenks classification in big data settings , 2017, Trans. GIS.