The Quiver trees spread in arid Namibia and South Africa.In order to investigate the spatial distribution pattern associated with climate changes,from 2002 to 2008, Quiver trees observational data were collected.Due to the financial constraint, data set is not large enough and even uncompleted: only forty-three out of the originally designated fifty-three observational sites, which causes extreme difficulties in the spatial pattern analysis.In our preliminary analysis, we found that the growth of the Quiver trees is robust to climate variables, say, rainfall and temperature and further that even for close sites geographically, the growths can be very diversified,which implies conventional kriging prediction or the inverse distance approach not working in the circumstance.In this paper, we define signal to noise ratio as a habitat measure for the Quiver Trees and engage the uncertain interpolation and extrapolation approaches including the uncertain canonical process regression and uncertain kriging prediction, for the habitat measure of the ten "missing" sites.