However, New York's 1916 Zoning Resolution – unlike London's late-Victorian stricture – imposed only formal patterning on skyscrapers, and a fixed ratio between plot size and tower footprint, rather than restricting height per se.
This model was then applied to six 30 m × 30 m plots at differing spatial extents to investigate the relationship between plot size and model accuracy, observing that model accuracy increased with increasing spatial extent, with a maximum r2 of 0.78 at an area of 900 m2.
We examined the effect of plot size on regression results by entering plot size and the interaction between plot size and fruiting tree density.
The interaction between plot size and fragmentation status (fragmented vs. intact) was not significant for any of the habitat associations, so it was removed from the analysis.
To account for spatial extent mismatches between ground plot size and predictor variables, we resampled all predictor variable spatial data to a 20 m × 50 m pixel size using a nearest neighbor method which maintained the actual pixel values.
However, large plots also have disadvantages by being more complicated to measure, which may affect the time consumption for collecting field measurements [21], This makes it challenging to select the "optimal" plot size that balances the tradeoff between plot size, sample size (number of plots), on-plot costs, traveling costs and precision of ALS-assisted AGB estimates in different forest types.
However, large plots also have disadvantages by being more complicated to measure, which may affect the time consumption for collecting field measurements [ 21], This makes it challenging to select the "optimal" plot size that balances the tradeoff between plot size, sample size (number of plots), on-plot costs, traveling costs and precision of ALS-assisted AGB estimates in different forest types.
At the largest sampling scale (100 m2), the highest variability of species richness was adequately related to the spectral and texture responses, due to the spatial fit between the sampling plot size and both the pixel- and plant-sizes.
Fewer studies have investigated how plot size and the interaction between pulse density and plot size influence the precision of regressions between field measurements and canopy metrics.
Log-transformed plot size, and the interaction between size and fragmentation status, were significant predictors of adjusted species richness (overall model F3,18 = 7.810, p = 0.002; size, p<0.001; size*fragmentation status, p = 0.015, Figure 1).
Defining optimal sample plot size and type analytically would require that we can anticipate the effects of the plot size and type on the population (or between-plot) variance.
