The SANET toolbox: New methods for network spatial analysis

Transactions in GIS

Volumn 10, Issue 4, 2006, Pages 535-550

  Okabe, Atsuyuki ^a   Okunuki, Kei Ichi ^b   Shiode, Shino ^a  

^a UNIVERSITY OF TOKYO   (Japan)

^b NAGOYA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

GEOGRAPHIC INFORMATION SYSTEMS;

CELL COUNT; DISTANCE METHOD; FUNCTION METHODS; K-FUNCTION; NEAREST NEIGHBOR DISTANCE; NETWORK TRANSFORMATION; NON-UNIFORM DISTRIBUTION; SPATIAL ANALYSIS; SPATIAL PHENOMENON; VORONOI DIAGRAMS;

SPATIAL VARIABLES MEASUREMENT;

GIS; NUMERICAL METHOD; SPATIAL ANALYSIS;

EID: 33745842189     PISSN: 13611682     EISSN: 14679671     Source Type: Journal    
DOI: 10.1111/j.1467-9671.2006.01011.x     Document Type: Article

References (41)

1. Anselin L, Cohen J, Cook D, Gorr W, and Tita G 2000 Spatial analyses of crime. In Duffee D (ed) Criminal Justice 4. Washington, DC, National Institute of Justice: 213-62.
2. Bailey T C and Gatrell A C 1995 Interactive Spatial Data Analysis. Harlow, Longman
3. Bashore T, Tzilkowski W, and Bellis E 1985 Analysis of deer-vehicle collision sites in Pennsylvania. Journal of Wildlife Management 49: 869-74
4. Bowers K and Hirschfield A 1999 Exploring links between crime and disadvantage in north-west England: An analysis using geographical information systems. International Journal of Geographical Information Science 13: 159-84
5. Clark P J and Evans F C 1954 Distance to nearest neighbor as a measure of spatial relationships in populations. Ecology 35: 445-53
6. Clevenger A P, Chruszcz B, and Gunson K E 2003 Spatial patterns and factors influencing small vertebrate fauna road-kill aggregations. Biological Conservation 109: 15-26
7. Cressie N 1991 Statistics for Spatial Data. New York, John Wiley and Sons
8. Dacey M F 1968 Two-dimensional random point patterns: A review and an interpretation. Papers of the Regional Science Association 13: 41-55
9. Griffith D A and Layne L J 1999 A Casebook for Spatial Statistical Data Analysis. New York, Oxford University Press
10. Huff D L 1963 A probabilistic analysis of shopping center trade area. Land Economics 39: 81-90
11. Jones A P, Langford I H, and Betham G 1996 The application of K-function analysis to the geographical distribution of road traffic accident outcomes in Norfolk, England. Social Science and Medicine 42: 879-85
12. Levine N, Kim K E, and Nitz L H 1995 Spatial Analysis of Honolulu Motor Vehicle Crashes: I, Spatial Patterns. Accident Analysis and Prevention 27: 663-74
13. Mallick S A, Hocking G J, and Driessen M M 1998 Road-kills of the eastern barred bandicoot (Perameles gunnii) in Tasmania: An index of abundance. Wildlife Research 25: 139-45
14. McGuigan D R D 1981 The use of relationships between road accidents and traffic flow in "black-spot" identification. Traffic Engineering and Control 22: 448-53
15. Miller H J 1994 Market area delimitation within networks using geographic information systems. Geographical Systems 1: 157-73
16. Miller H J 1999 Measuring space-time accessibility benefits within transportation networks. Geographical Analysis 31: 187-212
17. Morita M, Okunuki K, and Okabe A 2001 A market area analysis on a network using GIS: A case study of retail stores in Nisshin city. Papers and Proceedings of the Geographic Information Systems Association 10: 45-50
18. Nicholson A J 1989 Accident clustering: Some Simple Measures. Traffic Engineering and Control 30: 241-6
19. O'Driscoll R L 1998 Descriptions of spatial pattern in seabird distributions along line transects using neighbor K statistics. Marine Ecology Progress Series 165: 81-94
20. Okabe A, Boots B, Sugihara K, and Chiu S N 2000 Spatial Tessellations: Concepts and Applications of Voronoi Diagrams (Second Edition). Chichester, John Wiley and Sons
21. Okabe A and Funamoto S 2000 An exploratory method for detecting multi-level clumps in the distribution of points: A computational tool, VCM (Variable Clumping Method). Journal of Geographical Systems 2: 111-20
22. Okabe A and Kitamura M 1996 A computational method for market area analysis on a network. Geographical Analysis 28: 330-49
23. Okabe A and Miki F 1984 A conditional nearest-neighbor spatial association measure for the analysis of conditional locational interdependence. Environment and Planning A 16: 163-71
24. Okabe A and Okunuki K 2001 A Computational method for estimating the demand of retail stores on a street network using GIS. Transactions in GIS 5: 209-20
25. Okabe A and Satoh T 2005 Uniform network transformation for points pattern analysis on a non-uniform network. Journal of Geographical Analysis 8: 25-37
26. Okabe A and Yamada I 2001 The K-function method on a network and its computational implementation. Geographical Analysis 33: 271-90
27. Okabe A and Yoshikawa T 2003 SAINF: A toolbox for analyzing the effect of point-like, line-like and polygon-like infrastructural features on the distribution of point-like non-infrastructural features. Journal of Geographical Systems 5: 407-13
28. Okabe A, Okunuki K, and Shiode S 2004 SANET: A Toolbox for Spatial Analysis on a Network (Version 2.0 -040102). Tokyo, University of Tokyo, Center for Spatial Information Science Research Report
29. Okabe A, Okunuki K, Funamoto S, and Ishitomi T 2002 A toolbox for spatial analysis on a network and its software. In Proceedings of the Second International Conference on Geographical Information Science, Boulder, Colorado (available at http://ua.t.u-tokyo.ac.jp/okabelab/atsu/ ToolBox.pdf)
30. Okabe A, Yomono H, and Kitamura M 1995 Statistical analysis of the distribution of points on a network. Geographical Analysis 27: 152-75
31. Painter K 1994 The impact of lighting on crime, fear, and pedestrian street use. Security Journal 5: 116-24
32. Ratcliffe H J 2002 Aoristic signatures and the spatio-temporal analysis of high volume crime patterns. Journal of Quantitative Criminology 18: 23-43
33. Ratcliffe J H and McCullagh M J 1999 Hotbeds of crime and the search for spatial accuracy. Journal of Geographical Systems 1: 385-98
34. Ripley B D 1976 The second-order analysis of stationary point processes. Journal of Applied Probability 13: 255-66
35. Roach S A 1968 The Theory of Random Clumping. London, Methuen
36. Saeki M and MacDonald D W 2004 The effects of traffic on the raccoon dog (Nyctereutes procyonoides viverrinus) and other mammals in Japan. Biological Conservation 118: 559-71
37. Shiode S 2003 Spatial Statistical Methods on a Network and Their Implementation. Unpublished Ph.D. Dissertation, Department of Urban Engineering, University of Tokyo
38. Shiode S and Okabe A 2004a Network variable clumping method for analyzing point patterns on a network. Unpublished Paper Presented at the Annual Meeting of the Association of American Geographers, Philadelphia, Pennsylvania
39. Shiode S and Okabe A 2004b Cell count method on a network with SANET and its application. In Proceedings of the International Conference on Geoinfomatics and Geographical Systems Modeling, Beijing, China
40. Spooner P G, Lunt I D, Okabe A, and Shiode S 2004 Spatial analysis of roadside Acacia populations on a road network using the network K-function. Landscape Ecology 19: 491-9
41. Yamada I and Thill J-C 2004 Comparison of planar and network K-functions in traffic accident analysis. Journal of Transport Geography 12: 149-58