{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Quadrat Analysis_Example - Parametric Test Quadrat Analysis...

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
Parametric Test Quadrat Analysis Equations taken from Rogerson, 2001. m is the number of quadrats, is the mean of the number of points per quadrat, s 2 is the variance of the number of points per quadrat, is the cell deviate, and VMR is the variance-mean ratio. Example: The grid to the right has been drawn over a set of burglary locations in a small urban area. Each dot represents one burglary. We are interested in determining whether the burglaries are randomly occurring within the urban area or if there is clustering. If there is a large amount of variability in the frequency of points within cells, then the data are clustering. Conversely, if the points are randomly distributed, cell to cell variability would be minimal. Obviously the choice of cell (quadrat) size is important, in that we do not want too many cells having no observations. Although there is no rule as to the number of observations each cell should have, somewhere between 1 and 2 is usually sufficient. Cell deviates are the points per cell minus the mean, squared… e.g. (0-1.17)
Background image of page 1
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

Ask a homework question - tutors are online