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In a conference, Robert Weibel (Weibel 2012) proposed to compile a set of laws and theses coming from GIS Science which could be of interest to a broader audience.
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In a conference, Robert Weibel (Weibel 2012) proposed to discuss and compile a set of laws and theses coming from GIS Science which could be of interest to a broader audience.
  
 
Hereafter there is a first compilation of such candidate laws and theses of spatial thinking:
 
Hereafter there is a first compilation of such candidate laws and theses of spatial thinking:

Version vom 27. Oktober 2012, 23:26 Uhr

In a conference, Robert Weibel (Weibel 2012) proposed to discuss and compile a set of laws and theses coming from GIS Science which could be of interest to a broader audience.

Hereafter there is a first compilation of such candidate laws and theses of spatial thinking:

  • "Tobler's First Law": "Nearby things are more related than distant things", Spatial Autocorrelation (Tobler 1970).
  • "First Law of Cognitive Geography": "People think closer things are more similar" (Montello and Sarah Fabrikant)
  • "Limited Map Space Conflict": All important places are at the corners of four map sheets. (Goodchild 2004)
  • "Modifiable Areal Unit Problem" (MAUP): A potential source of error that can affect spatial studies which utilise aggregate data sources into higher level units and scales (Ratcliffe)
  • "Spatial heterogeneity problem": Space is non-stationary and has uncontrolled variance (included by the MAUP but considering only variety, not scale/aggregation). Means that sampling is problematic; one must visit all of it to understand its full complexity. Results depend explicitly on the bounds of the study. (Goodchild 2004)
  • "Scale/resolution problem": A fundamental property of any geographic representation. Two characteristics: spatial resolution and spatial extent. Conflict over "large" and "small". What does it mean in digital data? (Goodchild 2004)
  • "Problem of absolute vs. relative areal measurements" (absolute no. of persons/people should be represented as density i.e. people per square). (Goodchild 2004).

References: