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Multi-scale correlations between topography and vegetation in a hillside catchment of Honduras / A. Nelson in International journal of geographical information science IJGIS, vol 21 n° 1-2 (january 2007)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 21 n° 1-2 (january 2007) . - pp 145 - 174 Titre : Multi-scale correlations between topography and vegetation in a hillside catchment of Honduras Type de document : Article/Communication Auteurs : A. Nelson, Auteur ; T. Oberthur, Auteur ; S. Cook, Auteur Année de publication : 2007 Article en page(s) : pp 145 - 174 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse multiéchelle [Termes IGN] appariement d'images [Termes IGN] déboisement [Termes IGN] dégradation de l'environnement [Termes IGN] données topographiques [Termes IGN] flore locale [Termes IGN] Honduras [Termes IGN] indice de végétation [Termes IGN] modèle conceptuel de données localisées [Termes IGN] utilisation du sol Résumé : (Auteur) All systems have causes and effects that can be appreciated at different spatial scales. Understanding and representing the complexity of multi-scale patterns in maps and spatial models are key research objectives. We describe the use of three types of correlation analyses: (1) a standard Pearson correlation coefficient, (2) a ‘global’ multi-scale correlation, and (3) local geographically weighted correlation. These methods were applied to topographic and vegetation indices in a small catchment in Honduras that is representative of the country's hillsides agro-ecosystem which suffers from severe environmental degradation due to land-use decisions that lead to deforestation, overgrazing, and unsustainable agricultural. If the geographical scale at which topography matters for land-use allocation can be determined, then integration of knowledge systems can be focused. Our preliminary results show that: (1) single-scale correlations do not adequately represent the relationship between NDVI and topographic indices; (2) peaks in the global multi-scale correlations in agricultural areas coincided with the median farm size, but there was no evidence of any community or larger-scale land-use planning or optimization; and (3) local multi-scale correlations varied considerably from the global results at all scales, and these variations have a strong spatial structure which may indicate local optimization of land use. Copyright Taylor & Francis Numéro de notice : A2007-030 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810600852263 En ligne : https://doi.org/10.1080/13658810600852263 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28396 [article]

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