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**Data**: Madsa_L.zip ### Instructions

## 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.

- Calculate distance weighted autocorrelation of pixel values in a 10 m grid within round local kernels. Present the result as a figure.
- Where is the autocorrelation larger and where is it less?
- Explain, how different pixel values determine the differences in autocorrelation values in these sites.

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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