Abstract
The spatial correlation analysis is proposed to analyze urban activities quantitatively. This paper describes an extension of spatial correlation analysis defined in a two-dimensional Euclidean space to a roadnetwork space. We discuss a method for applying spatial correlation analysis to a road-network space and illustrate the details of computation methods. By using actual GIS data as numerical examples, a comparison of the results from the Euclidean distance and the network distance is shown. Also, we demonstrate some case studies using a variety of computation methods.
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References
Aoki Y (1986a) Space Correlation Analysis as A Method of Mesh Data Analysis: Part 1 Problems on mesh data analysis and theory of space correlation analysis (in Japanese). Journal of Architectural Planning and Engineering 364: 94-101
Aoki Y (1986b) Space Correlation Analysis as A Method of Mesh Data Analysis: Part 2 Application on measuring of spatial-continuity, coexistence, exclusion of land use (in Japanese). Journal of Architectural Planning and Engineering 364: 119-125
Aoki Y (1987) Space Correlation Analysis as A Method of Mesh Data Analysis: Part3 On the applicability of the spatial influence function model (in Japanese). Journal of Architectural Planning and Engineering 364: 29-35
Berry B J, Marble D F (1968) Spatial Analysis: A Reader in Statistical Geography, Prentice-Hall
Black W R (1992) Network Autocorrelation in Transport Network and Flow Systems, Geographical Analysis 24: 207-222
Black W R, Thomas I (1998) Accidents on Belgium’s motorways: a network autocorrelation analysis, Journal of Transport Geography 6(1): 23-31
Clark P J, Evans F C (1954) Distance to Nearest Neighbor as a Measure of Spatial Relationships in Populations, Ecology 35: 445-453
Clark P J, Evans F C (1955) On Some Aspects of Spatial Patterns in Biological Populations, Science 121: 397-398
Cliff A D, Ord J K (1973) Spatial Autocorrelation, Pion
Fotheringham A S (2009) “The Problem of Spatial Autocorrelation” and Local Spatial Statistics, Geographical Analysis 41: 398–403
Getis A (2008) A history of the concept of spatial autocorrelation: a geographer's perspective, Geographical Analysis 40: 297-309
Goodchild M F (2009) What Problem? Spatial Autocorrelation and Geographic Information Science, Geographical Analysis 41: 411–417
Griffith D A (2003) Spatial Autocorrelation and Spatial Filtering: Gaining Understanding Through Theory and Scientific Visualization, Springer-Verlag, Berlin, Germany
Griffith D A (2009) Celebrating 40 Years of Scientific Impacts by Cliff and Ord, Geographical Analysis 41: 343–345
Kitamura M, Okabe A (1995) A method for Estimating Market Areas on a Network (in Japanese). Theory and Applications of GIS 3 (1): 17-24
Koshizuka T, Kobayashi J (1983) On the Relation between Road Distance and Euclidean Distance (in Japanese). Papers on City Planning 18: 43-48
Leenders R A J (2002) Modeling social influence through network autocorrelation: constructing the weight matrix, Social Networks 24: 21-47
Okabe A, Boots B, Sugihara K, Chiu S N (1992) Spatial Tessellations: Concepts and Applications of Voronoi Diagrams, John Wiley & Sons, Chichester, United Kingdom.
Okunuki K, Shiode S, Okabe A, Okano K, Kaneko T (2005) SANET version 3 (in Japanese). Papers and Proceedings of the Geographic Information Systems Association 14: 337-340
Okabe A, Satoh T, Sugihara K (2009) A kernel density estimation method for networks, its computational method and a GIS-based tool (in Japanese). International Journal of Geographical Information Science 23 (1): 7-32
Peeters D, Thomas I (2009) Network Autocorrelation, Geographical Analysis 41: 436-443
Ripley B D (1981) Spatial Statistics, John Wiley & Sons, New York
Roach S A (1968) The theory of Random Clumping, Methuen, London
Shiode S, Okabe A (2004) Analysis of Point Patterns Using the Network Cell Count Method (in Japanese). Theory and Applications of GIS 12 (2): 155-164
Yomono H (1993) The Computability of the Distribution of the Nearest Neighbour Distance on a Network (in Japanese). Theory and Applications of GIS 1: 47-56
Yamada I, Okabe A (2000) The K Function Methods on a Network (in Japanese). Theory and Applications of GIS 8 (1): 75-82
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Osaragi, T., Naito, T. (2011). Extension of Spatial Correlation Analysis to Road Network Spaces. In: Geertman, S., Reinhardt, W., Toppen, F. (eds) Advancing Geoinformation Science for a Changing World. Lecture Notes in Geoinformation and Cartography(), vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19789-5_5
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DOI: https://doi.org/10.1007/978-3-642-19789-5_5
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