Your English writing platform
Discover LudwigExact(55)
Road density was 5.48 km/km2.
Road density was associated positively but weakly with avian richness.
The average road density was less than 200 m/ha.
In central China, there are noticeable discrepancies in the road density, whereas in western China, the road density is low.
The whole density estimation method is shown in Figure 2. Figure 2 Road density packet.
Areas with high topographic variation and low road density had the highest species richness.
Similar(5)
The road-density model prediction shows normalized RMSE of 18.42 % against annual observational data.
The traffic volume density maps were then divided by road-density map to compute amplitude A as in Eq. 4b.
The road-density model predicts high wildfire hazard mostly in the southern region, which is densely populated.
For all wildfires, probability of occurrence was greatest in areas of high topographic roughness and lower road-density.
The model predictions were validated using historic wildfire data and compared with road-density model predictions (Gilreath 2006).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com