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Articles containing the keyword 'spatial data'

Category : Article

article id 7635, category Article
Reino Pulkki. (1984). A spatial database - heuristic programming system for aiding decision-making in long-distance transport of wood. Acta Forestalia Fennica no. 188 article id 7635. https://doi.org/10.14214/aff.7635
Keywords: Finland; timber transport; water transport; long-distance transport; spatial database; transport planning; Saimaa
Abstract | View details | Full text in PDF | Author Info

The applicability of operations research, database management systems and geographic information systems for decision-making in long-distance transport of wood in the Saimaa area in Central Finland were reviewed. Due to the complexity of the transport problem a geographic information system is the most applicable. However, investment in such a system for only long-distance transport decision-making is unjustified. A spatial database – heuristic programming system was developed. It was applied to studying the competitiveness and search for possible areas for rationalization of water transport in particular and long-distance transport in general. The system proved to be a useful aid in long-distance transport research. Also, with the increased use of computers for planning at the field level, a system similar to that described could be a powerful managerial aid.

The PDF includes a summary in Finnish.

  • Pulkki, E-mail: rp@mm.unknown (email)

Category : Discussion article

article id 24053, category Discussion article
Francisco X. Aguilar, Marie Lautrup, Dohun Kim, Ane C. Tangen, Aapo Rautiainen, Huntley Brownell, Lucas N. López, Andrew D. H. Stratton, Sebastian Glasenapp, Silvia M. Korth, Hanne K. Sjølie, Jette Bredahl Jacobsen. (2024). Inherently spatial: data and analytical insights for the identification of forest socio-ecological hotspots. Silva Fennica vol. 58 no. 5 article id 24053. https://doi.org/10.14214/sf.24053
Keywords: forest sector; spatial analyses; adaptive interventions; ecological-social systems; robustness; spatial data
Abstract | Full text in HTML | Full text in PDF | Author Info

We draw insights regarding intricacies with spatially explicit data and analyses when studying the vulnerability of forest socio-ecological systems to disruptive abiotic and biotic factors. Common issues associated with data include location precision, spatial delimitation, methodological comparability, and measurement consistency. Spatial data analyses are challenged by issues of interpolation and extrapolation, inferences using data at different spatial scales, and assessment of disruption impacts at detectable spatial scales. The inextricable empirical nature of spatial data and analyses requires carefully conducting and disclosing the sensitivity of findings, and including robustness tests to openly inform decision-makers on issues of uncertainty associated with possible interventions. These considerations might be central to identifying forest socio-ecological hotspots as forest-dominated geographic areas encompassing social and ecological systems vulnerable to disruptions caused by abiotic and biotic factors, but where risks to human wellbeing may be considerably reduced through adaptive interventions.

  • Aguilar, Swedish University of Agricultural Sciences (SLU), Department of Forest Economics, SE-901 83 Umeå, Sweden ORCID https://orcid.org/0000-0003-0226-4467 E-mail: francisco.aguilar@slu.se (email)
  • Lautrup, University of Copenhagen, Department of Food and Resource Economics, Rolighedsvej 23, 1958 Frederiksberg C, Denmark E-mail: ml@ifro.ku.dk
  • Kim, Swedish University of Agricultural Sciences (SLU), Department of Forest Economics, SE-901 83 Umeå, Sweden ORCID https://orcid.org/0000-0002-1919-3346 E-mail: dohun.kim@slu.se
  • Tangen, Inland Norway University of Applied Sciences, Department of Forestry and Wildlife Management, P.O. Box 2400, Koppang, Norway ORCID https://orcid.org/0009-0001-3145-8159 E-mail: ane.tange@inn.no
  • Rautiainen, Natural Resources Institute Finland (Luke), Bioeconomy and environment, Latokartanonkaari 9, FI-00790 Helsinki, Finland E-mail: aapo.rautiainen@luke.fi
  • Brownell, University of Copenhagen, Department of Geosciences and Natural Resource Management, Forest and Bioresources, Rolighedsvej 23, 1958 Frederiksberg C, Denmark ORCID https://orcid.org/0000-0002-3798-8783 E-mail: hb@ign.ku.dk
  • López, Inland Norway University of Applied Sciences, Faculty of Applied Ecology, Agricultural Sciences and Biotechnology, P.O. Box 2400, Koppang, Norway ORCID https://orcid.org/0009-0006-6860-3408 E-mail: lucas.lopez@inn.no
  • Stratton, University of Copenhagen, Department of Food and Resource Economics, Rolighedsvej 23, 1958 Frederiksberg C, Denmark ORCID https://orcid.org/0000-0002-6566-2043 E-mail: adhs@ifro.ku.dk
  • Glasenapp, Johann Heinrich von Thünen Institute, Institute of Forestry, Leuschnerstraße 91, 21031 Hamburg-Bergedorf, Germany E-mail: sebastian.glasenapp@thuenen.de
  • Korth, Universidad Nacional de Misiones Facultad de Ciencias Forestales, Bertoni 124, Eldorado 3380, Argentina ORCID https://orcid.org/0009-0007-3261-8234 E-mail: silviakorth@hotmail.com
  • Sjølie, Inland Norway University of Applied Sciences, Faculty of Applied Ecology, Agricultural Sciences and Biotechnology, P.O. Box 2400, Koppang, Norway ORCID https://orcid.org/0000-0001-8099-3521 E-mail: hanne.sjolie@inn.no
  • Bredahl Jacobsen, University of Copenhagen, Department of Food and Resource Economics, Rolighedsvej 23, 1958 Frederiksberg C, Denmark ORCID https://orcid.org/0000-0002-1313-6228 E-mail: jbj@ifro.ku.dk

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