id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hungeobull-2868	Szatmári, Gábor; Barta, Károly; Pásztor, László	An application of a spatial simulated annealing sampling optimization algorithm to support digital soil mapping	2015	14	.pdf	application/pdf	7356	407	56	Conclusions As it was illustrated by the scenarios, SSA (us- ing RKV as optimization criterion) is a valuable algorithm to optimize soil sampling strategy considering a lot of constraints and demands, which were suggested by soil surveyors, pedo- metricans and end-users (e.g. the number of new observations, predefi ned quality measure value (i.e. RKV), as well as taking auxiliary information, previously collected samples and inaccessible areas into account). The sampling scenarios were set to repre- sent the major capabilities of SSA and to cov- er a major part of soil sampling issues.	cache/hungeobull-2868.pdf	txt/hungeobull-2868.txt