Difference between revisions of "CONES"
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|GIS integration=ESRI | |GIS integration=ESRI | ||
|Data mining=N/A | |Data mining=N/A | ||
| − | |Spatial analysis=Several spatial analysis techniques are applied (point measurements are automatically extrapolated using Thyssen polygon approach, length of sky line systems is calculated, management area and regeneration patches are calculated, provides standard data import/export formats, topology overlays (e.g. multi layering of different maps, selection of objects based on selection criteria, aggregation by attributes (e.g. areas of similar characteristics, Linking by logical means, statistics by area, analysis with digital terrain model)) | + | |Spatial analysis=Several spatial analysis techniques are applied (point measurements are automatically extrapolated using Thyssen polygon approach, length of sky line systems is calculated, management area and regeneration patches are calculated, provides standard data import/export formats, topology overlays (e.g. multi layering of different maps, selection of objects based on selection criteria, aggregation by attributes (e.g. areas of similar characteristics, Linking by logical means, statistics by area, analysis with digital terrain model)) |
|Additional information=Productivity models are used to analyse individual subprocesses (felling, processing and extraction) of wood harvesting in steep terrain (Stampfer, 2002). Extraction costs for different silvicultural treatment variants | |Additional information=Productivity models are used to analyse individual subprocesses (felling, processing and extraction) of wood harvesting in steep terrain (Stampfer, 2002). Extraction costs for different silvicultural treatment variants | ||
are calculated by determining the time requirement as a function of site parameters, felling method, cutting volume, and of the spatial dispersion of the harvested timber. Profit is estimated by spreading the cutting volume to possible assortments with varying yield. Time requirement for putting up and putting down the cable yarder system and associated costs are also estimated by empirical models. Based on revenues for timber and harvesting costs, the | are calculated by determining the time requirement as a function of site parameters, felling method, cutting volume, and of the spatial dispersion of the harvested timber. Profit is estimated by spreading the cutting volume to possible assortments with varying yield. Time requirement for putting up and putting down the cable yarder system and associated costs are also estimated by empirical models. Based on revenues for timber and harvesting costs, the | ||
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[[Image:CONES_screenshot.jpg|thumb|400px|A screenshot from CONES v1.0]] | [[Image:CONES_screenshot.jpg|thumb|400px|A screenshot from CONES v1.0]] | ||
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Revision as of 22:00, 1 September 2012
Template:DSS description, Name, responsible organisation and contact person Template:DSS description, Scope of the tool Template:DSS description, Concrete application Template:DSS description, Installation and support Template:DSS description, Data, data model and data management Template:DSS description, Models and methods, MBMS, decision support techniques Template:DSS description, Support of knowledge management process Template:DSS description, Support of social participation Template:DSS description, User interface and outputs Template:DSS description, System design and development Template:DSS description, Technological architecture, integration with other systems Template:DSS description, Ongoing development Template:DSS description, Documentation CONES is a computer based multiple criteria decision support tool for optimizing silvicultural and harvest operations in steep terrain with cable yarding system.
