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Correlating yield losses with weather parameters proves to be very challenging because of the low density of station coverage and the limited crop specific yield data.
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In selected regional studies, a high density of stations may constrain simple models well (Connors 1998).
The increased density of stations enhances studies of the entire substorm current wedge, nominally extending about 70 ° in longitude, when it is centered over North America.
These stations represent the best available data at the monthly scale for evaluating the climate of these locations that we are aware of; the density of stations in these locations is relatively sparse.
However, the low density of weather station coverage makes large-scale applicability problematic.
The combinations were performed over 460 Canadian watersheds (representing regions with a low density of weather stations) and 370 US watersheds (representing regions with a higher density of weather stations).
The study was carried out in the eastern Ontario/southwestern Quebec region of Canada because of the relatively high spatial density of hydrological stations from generally pristine waterways, as well as the high density of meteorological stations with uninterrupted recordings for a 24 year period from 1/1969 to 12/1992.
He thinks that even the high density of base stations needed for a decent wireless network would cost only half as much as cabling a place up from scratch.
The size of cells depends on the density of base stations installed in a given area.
Accuracy should be in the 100-5000m range depending on the network density of base stations.
The density of mobile stations is mobiles per unit area.
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