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In the simplest definition, multi-local living means that a person or family have more than one residence or place to stay. In Finland, multi-locality has become a common phenomenon in recent decades, but the effects of it are not yet considered in decision-making or planning. This is because the “invisible population” created by multi-locality is not reflected in traditional population statistics. The assumption in this article is that multi-locality would provide opportunities to improve accessibility of health and social services in rural areas. The assumption is tested in the North Kymenlaakso region, Finland. The results point to that one-stop services and mobile services are cost-efficient and flexible provision models for rural areas. The results call for making the increasing multi-locality in society more visible and to utilize it better than at present as a resource for the development of rural areas.

. Spatial optimization for wildlife and timber in managed forest ecosystems. - Forest Science, 38(3), 489-508. Hof, J. G., Joyce, L. A. 1993. A mixed integer linear programming approach for apatially optimisating wildlife and timber in managed forest ecosystems. - Forest Science, 39(4), 816-834. Hof, J. G., Bevers, M., Joyce, L. A., Kent, B. 1994. An integer programming approach for spatially and temporally optimising wildlife population. - Forest Science, 39(4), 816-834. Hoganson, H. M., Rose, D. W. 1984. A simulation approach for optimal timber management scheduling

optimization for freeform surface machining. Manufacturing Technology, 58, 101-104. 8. Lee E. (2003), Contour offset approach to spiral toolpath generation with constant scallop height. Computers -Aided Design, 35, 511-518. 9. Makhanov S. (2007), Optimization and correction of the tool path of the five-axis milling machine Part 1, Spatial optimization, Mathematics and Computers in Simulation, 75, 210-230. 10. Saviol E., De Chiffre L., Schmitt R. (2007), Metrology of freeform shaped parts, Manufacturing Technology, 56, 810-835. 11. Schutzer K., Helleno A., Castellari, Pereira

:HTML > Campana PE, Quan SJ, Robbio FI, Lundblad A, Zhang Y, Ma T, Yan J (2016) Spatial Optimization of Residential Urban District—Energy and Water Perspectives. Energy Procedia 88: 38–43. Child M, Nordling A, Breyer C (2018) The Impacts of High V2G Participation in a 100% Renewable Åland Energy System. Energies 11(9): 2206. Dijkstra L, Poelman H (2014) A harmonised definition of cities and rural areas: The new degree of urbanisation. 28. GDAL Development Team (2016) GDAL-Geospatial Data Abstraction Library. Available from:< > Guntaka R, Myler HR (2014

Management of Small Area Silviculture System. Bratislava, Príroda, 304 p. Greguš, C., 1983: Allowable cut calculation by empiric exploitation percentage. Lesnícky časopis, 29:251-267. Hof, J., Joyce, L. A., 1993: A mixed integer linear programming approach for spatially optimizing wildlife and timber in managed forest ecosystem. Forest Science, 39:816-834. Hof, J., Bevers, M., 2000: Optimal timber harvest scheduling with spatially defined sediment objectives. Canadian Journal of Forest Research, 30:1494-1500. Jamnick, M. S., Walters, K. R., 1993: Spatial and temporal

sustainable landscape in ecophilosophy. Problems of Sustainable Development 9(1): 81–88. Machałek M., 2013. Przemiany polskiej wsi w latach 1918–1989 (Changes in the Polish countryside in the years 1918–1989). Klio 26(3): 55–80. Markuszewska I., 2013. Changes of agricultural landscape pattern – non-natural driving forces analyzing based on the North-Western region of Poland. Quaestiones Geographicae 32(1): 5–14. DOI: 10.2478/quageo-2013-0001. Meyer B.C., Lescot J.M., Laplana R., 2009. Comparison of Two Spatial Optimization Techniques: A Framework to Solve

materials that make up the bacterial cell are omitted. Therefore, the spatial optimization process of the murein fragment made of 283 atoms (89 carbon, 26 nitrogen, 19 oxygen and 149 hydrogen atoms) was carried out in order to achieve the minimum energy. Then, using molecular mechanics for the system created in this way, computer simulations of charge distribution were carried out. In the last stage of research, the molecular interactions of murein at the phase boundary with pristine graphene, as well as its oxidized form, were analyzed. Based on the analysis of molecular