@ARTICLE{Perovych_Lev_Modeling_2018, author={Perovych, Lev and Perovych, Ihor and Perovych, Lesia and Ludchak, Oksana}, volume={vol. 67}, number={No 2}, pages={295–303}, journal={Geodesy and Cartography}, howpublished={online}, year={2018}, publisher={Commitee on Geodesy PAS}, abstract={In this publication, the strategy of land resources administration is presented on the basis of consideration of proposed result factors. The research methodology is based on the use of the PESTLE analytical model in conjunction with economic-mathematical modeling. The scientific novelty of the publication is developing the technology of administration of land resources on the basis of cadastral and other statistical information, which allows obtaining scientifically grounded solutions on the use of land resources. Considering the process of Land Resources Administration as a procedure based on making certain decisions when creating a management system which takes into account the internal and external relationships in this system, the postulate is about determining the degree of trust in this system, establishing economic, environmental and social risks when using it. To a certain extent, the process of Land Resources Administration is a prediction of the effective use of this natural potential in the future. It should be noted that the reliability of the forecast decision depends on the nature and parameters of uncertainties and the duration of their validity. Consequently, while making operational decisions on land resources for a short perspective, the forecasting is more reliable than for a long one. It becomes an effective mechanism of objective evaluation of the state of land resources and the prospects for their use. In this publication the main influencing decision making factors and the technological scheme of the solution of the problem are given.}, type={Artykuły / Articles}, title={Modeling the Processes of Land Resources Administration}, URL={http://www.czasopisma.pan.pl/Content/109498/PDF/art_8%20geodesy-2.pdf}, keywords={land resources, administration, model, risk}, }