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Geography with GIS

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References

  • Anselin L.,1993: SpaceStat: a program for the statistical analysis of spatial data. NCGIA, Santa Barbara.

    Google Scholar 

  • Ding Y. and Fotheringham A.S., 1992: The integration of spatial analysis and GIS. Comp. Environ. Urban Syst. 16: 3–19.

    Article  Google Scholar 

  • Eastman J.R., Kyem P.A.K., Toledano J. and Jin W., 1993: GIS and decision making. UNITAR European Office, Geneva.

    Google Scholar 

  • Getis A. and Ord J.K., 1992: The analysis of spatial association by use of distance statistics. Geogr. Analysis 24: 189–206.

    Article  Google Scholar 

  • Longley P.A., Brooks S.M., McDonnell R. and Macmillan B., 1998: Geocomputation - a primer. John Wiley & Sons, Chichester.

    Google Scholar 

  • Murayama Y., 2000: Internet GIS for Malaysian population analysis. Sci. Rep. Inst. Geosci., Univ. Tsukuba, Sec. A. 21: 131–146.

    Google Scholar 

  • Openshaw S., 1984: The modifiable areal unit problem. CATMOG 38, Geo Abstracts, Norwich.

    Google Scholar 

  • Openshaw S. and Abrahart R. J. (eds), 2000: GeoComputation. Taylor & Francis, London.

    Google Scholar 

  • Openshaw S., Charlton M., Wymer C. and Craft A., 1987: A mark I geographical analysis machine for the automated analysis of point data sets. Int. J. Geogr. Inform. Syst. 1: 335–358.

    Article  Google Scholar 

  • Rowlingson B.S. and Diggle P.J., 1993: SPLANCS: spatial point pattern analysis code in S-Plus. Comp. Geosci. 19: 627–655.

    Article  Google Scholar 

  • Sadahiro Y., 2001: Spatial analysis and GIS. In: Kohsaka H. and Murayama Y. (eds), GIS: contribution to geography, pp. 284–299. Kokon-Shoin, Tokyo.

    Google Scholar 

  • White R. and Engelen G., 1997: Cellular automata as the basis of integrated dynamic regional modelling. Environ. Planning B 24: 235–246.

    Article  Google Scholar 

  • Zhang C. and Murayama Y., 2000: Testing local spatial autocorrelation using k-order neighbours. Int. J. Geogr. Inform. Sci. 14: 681–692.

    Article  Google Scholar 

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Murayama, Y. Geography with GIS. GeoJournal 52, 165–171 (2000). https://doi.org/10.1023/A:1012406326738

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