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Exercise 3992. Points 3, theme: Local Statistics (numerical variable)

Open exercise
The file Madsa_L.rst in the attached archive contains a greyscale ortophoto where pixel edge is 1 m.
  1. Calculate distance weighted autocorrelation of pixel values in a 10 m grid within round local kernels. Present the result as a figure.
  2. Where is the autocorrelation larger and where is it less?
  3. Explain, how different pixel values determine the differences in autocorrelation values in these sites.
Data: Madsa_L.zip

Instructions

The ortphoto image at the Madsa Sports Center is used in this excercise.
  • Extract files from the attached archive.
  • Open calculation of Local statistics.
  • Select Upload rst file, numerical layer, grid over input layer, Parameters from rdc.
  • Leave Void value empty or write 255. Actually, there are no void areas in the input file.
  • The Output grid interval (units as in coordinates) should be 10 as the coordinates are in meters and the output grid is asked to have 10 m cell interval.
  • The kernel internal radius is 0 and external radius 10. NB! In case of a larger radius the calculation time will overflow.
  • The statistic to calculate is reverse distance weighted Moran I.
  • NB! Select the rst and rdc files to upload as the last step because upload is valid only during single postback.
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