The phrase "a function of geographical" is not complete and requires additional context to be fully correct and usable in written English.
You can use it when discussing how certain factors or outcomes are influenced by geographical elements, but it should be part of a larger phrase.
Example: "The distribution of species in this region is a function of geographical features such as mountains and rivers."
Alternatives: "dependent on geographical" or "influenced by geographical".
Global distribution of 40 residual Sq trends that passed through a trend test as a function of geographical latitude and longitude.
The approach involves combining both the site and array characteristics in a single parameter referred to as equivalent unit array output and expressing the composite parameter as a function of geographical co-ordinates.
Global distribution of correlation coefficients between the magnetic field intensity and residual Sq amplitude (a) and between the magnetic field inclination and residual Sq amplitude (b) as a function of geographical latitude and longitude.
The results of the trend test for the residual Sq amplitude showed that 40 of 69 cases had a positive or negative trend during 1947 to 2013. Figure 7 shows the global distribution of the 40 residual Sq trends that passed through the trend test as a function of geographical latitude and longitude.
This difference in choice between Ethiopians and Nigerians could be a function of geographical variation in the level of urbanization, living standard, and climate and socioeconomic and cultural factors [ 13].
The meridional slices are constructed as an average of the ROTI perturbations within the band of ±5° around a selected geographical longitude and plotted as a function of geographic latitude and time.
Geographic forwarding algorithms forward packets towards the destination as a function of its geographical location.
To quantify the spatial propagation of the event effects, we study the effect as a function of the geographical distance from the event center.
We estimated Rift Valley fever (RVF) incidence as a function of geological, geographical, and climatological factors during the 2006 2007 RVF epidemic in Kenya.
This model cannot be applied to disease spread between cattle farms, since they do not mix homogeneously and it is therefore essential to allow for the spatial distribution of farms, for example by controlling the probability of disease transmission between two farms by a function of their geographical proximity [ 2].
This lack of experimental topside ionospheric data (Benson et al. 1998) limits significantly the efforts to study and model this ionospheric region as a function of altitude and geographical location as well as diurnal, seasonal, and solar activity variations.
