Landscape genetics, which considers genetic population structure1 in the context of spatially referenced parameters in the surrounding landscape, has been shown to be extremely useful for wildlife management. Unfortunately its widespread uptake beyond the research community is hampered due to a lack of effective communication of usable information in a suitable format for application by stakeholders such as wildlife regulators or managers. To improve the communication of suitable information, geovisualization of results should be facilitated in a comprehensible format for stakeholders without GIS or genetic expertise. While specialist applications exist, alternative accessible solutions do not provide adequate support for the visualization of multi-attribute spatially referenced genetic population structure information. As a solution, we document our exploration for an appropriate symbology to communicate landscape genetic information through an accessible, webbased interface. A full problem description, review of available technologies, development rationale, and discussion of the symbology exploration are provided.
E. MAC AOIDH, G.E. MAES, A. CARIANI, E.E. NIELSEN, J.T. MARTINSOHN (2013). EXPLORING GEOVISUALIZATION SYMBOLOGY FOR LANDSCAPE GENETICS. TRANSACTIONS IN GIS, 17(2), 267-281 [10.1111/j.1467-9671.2012.01349.x].
EXPLORING GEOVISUALIZATION SYMBOLOGY FOR LANDSCAPE GENETICS
CARIANI, ALESSIA;
2013
Abstract
Landscape genetics, which considers genetic population structure1 in the context of spatially referenced parameters in the surrounding landscape, has been shown to be extremely useful for wildlife management. Unfortunately its widespread uptake beyond the research community is hampered due to a lack of effective communication of usable information in a suitable format for application by stakeholders such as wildlife regulators or managers. To improve the communication of suitable information, geovisualization of results should be facilitated in a comprehensible format for stakeholders without GIS or genetic expertise. While specialist applications exist, alternative accessible solutions do not provide adequate support for the visualization of multi-attribute spatially referenced genetic population structure information. As a solution, we document our exploration for an appropriate symbology to communicate landscape genetic information through an accessible, webbased interface. A full problem description, review of available technologies, development rationale, and discussion of the symbology exploration are provided.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
