Boundary problem (spatial analysis): Difference between revisions

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Recommend Merge from < Boundary problem in geography
m clean up, typo(s) fixed: Buffon’s → Buffon's (2)
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{{mergefrommerge from|Boundary problem in geography|discuss=Talk:Boundary problem (spatial analysis)#Merger proposal|date=September 2018}}{{no footnotes|date=July 2017}}
A '''boundary problem''' in analysis is a phenomenon in which geographical patterns are differentiated by the shape and arrangement of boundaries that are drawn for administrative or measurement purposes. This is distinct from and must not be confused with the boundary problem in the philosophy of science that is also called the '''[[demarcation problem]]'''.
 
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* Haslett, J., Wills, G., and Unwin, A. (1990) SPIDER: an interactive statistical tool for the analysis of spatially distributed data. International Journal of Geographical Information Systems 3, 285–296.
* Henley, S. (1981). Nonparametric Geostatistics. Applied Science Publishers: London, UK.
* Kirby, H. R. (1997) Buffon’sBuffon's needle and the probability of intercepting short-distance trips by multiple screen-line surveys. Geographical Analysis, 29 64–71.
* Leung, Y. (1987) On the imprecision of boundaries. Geographical Analysis 19, 125–151.
* McGuire, J. (1995). What works: Reducing reoffending, guidelines from research and practice. Chichester: John Wiley & Sons, Chichester, UK.
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* Openshaw, S., Charlton, M., and Wymer, C. (1987) A mark I geographical analysis machine for the automated analysis of point pattern data. International Journal of Geographical Information Systems 1, 335–350.
* Ripley, B. D. (1979) Tests of "randomness" for spatial point patterns. Journal of the Royal Statistical Society, Series B 41, 368–374.
* Rogerson, P. A. (1990) Buffon’sBuffon's needle and the estimation of migration distances. Mathematical Population Studies 2, 229–238.
* Rogerson, P. A. (2006) Statistical Methods for Geography: A Student Guide. Sage: London, UK.
* Upton, J. G. G. and Fingleton, B. (1985) Spatial Data Analysis by Example. Volume 1: Point Pattern and Quantitative Data. Wiley: Chichester, UK.