Topoclimatic Modeling of Thermopluviometric Variables for the Bío Bío and La Araucanía Regions, Chile

Climatic mapping in the Bío Bío and La Araucanía Regions of Chile is primarily in analog form (paper) and delineation of contours, making it unsuitable for digital handling by geographic information systems (GIS). Therefore, in this study, topoclimatic models were created and spatially represented t...

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Autores principales: Díaz M,Diego, Morales S,Luis, Castellaro G,Giorgio, Neira R,Fernando
Lenguaje:English
Publicado: Instituto de Investigaciones Agropecuarias, INIA 2010
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GIS
SIG
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spelling oai:scielo:S0718-583920100004000112018-10-01Topoclimatic Modeling of Thermopluviometric Variables for the Bío Bío and La Araucanía Regions, ChileDíaz M,DiegoMorales S,LuisCastellaro G,GiorgioNeira R,Fernando Topoclimatic models mean temperature mean precipitation pluviometric cartographic GIS topoclimáticos temperaturas medias precipitaciones medias cartografía termopluviométrica SIG Climatic mapping in the Bío Bío and La Araucanía Regions of Chile is primarily in analog form (paper) and delineation of contours, making it unsuitable for digital handling by geographic information systems (GIS). Therefore, in this study, topoclimatic models were created and spatially represented to explain the spatial and temporal variation of monthly mean temperature and precipitation, as a function of variability and singularity of the physiographic characteristics of the Bío Bío and La Araucanía Regions. The physiographic factors considered were latitude, longitude, altitude, aspect and distance to coastline. To elaborate equations, data from thermopluviometric stations of the study area were compiled and systematized. These stations were standardized to a common reference system in order to locate them in space and obtain the value of physiographic factors for each station. With this information, the equations were calculated using a stepwise (backward) regression procedure, with a statistical significance of 95%. The regression equations obtained for mean monthly and annual temperature and precipitation were all significant (P ≤ 0.05) and had R² > 0.7. These equations were applied to the rest of the study area in raster format using a GIS, which yields a spatially continuous cartography. The spatial resolution or pixel size was 90 m, which allows carrying out research at a 1:100000 scale, commonly used at the regional or provincial level.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.70 n.4 20102010-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392010000400011en10.4067/S0718-58392010000400011
institution Scielo Chile
collection Scielo Chile
language English
topic Topoclimatic models
mean temperature
mean precipitation
pluviometric cartographic
GIS
topoclimáticos
temperaturas medias
precipitaciones medias
cartografía termopluviométrica
SIG
spellingShingle Topoclimatic models
mean temperature
mean precipitation
pluviometric cartographic
GIS
topoclimáticos
temperaturas medias
precipitaciones medias
cartografía termopluviométrica
SIG
Díaz M,Diego
Morales S,Luis
Castellaro G,Giorgio
Neira R,Fernando
Topoclimatic Modeling of Thermopluviometric Variables for the Bío Bío and La Araucanía Regions, Chile
description Climatic mapping in the Bío Bío and La Araucanía Regions of Chile is primarily in analog form (paper) and delineation of contours, making it unsuitable for digital handling by geographic information systems (GIS). Therefore, in this study, topoclimatic models were created and spatially represented to explain the spatial and temporal variation of monthly mean temperature and precipitation, as a function of variability and singularity of the physiographic characteristics of the Bío Bío and La Araucanía Regions. The physiographic factors considered were latitude, longitude, altitude, aspect and distance to coastline. To elaborate equations, data from thermopluviometric stations of the study area were compiled and systematized. These stations were standardized to a common reference system in order to locate them in space and obtain the value of physiographic factors for each station. With this information, the equations were calculated using a stepwise (backward) regression procedure, with a statistical significance of 95%. The regression equations obtained for mean monthly and annual temperature and precipitation were all significant (P ≤ 0.05) and had R² > 0.7. These equations were applied to the rest of the study area in raster format using a GIS, which yields a spatially continuous cartography. The spatial resolution or pixel size was 90 m, which allows carrying out research at a 1:100000 scale, commonly used at the regional or provincial level.
author Díaz M,Diego
Morales S,Luis
Castellaro G,Giorgio
Neira R,Fernando
author_facet Díaz M,Diego
Morales S,Luis
Castellaro G,Giorgio
Neira R,Fernando
author_sort Díaz M,Diego
title Topoclimatic Modeling of Thermopluviometric Variables for the Bío Bío and La Araucanía Regions, Chile
title_short Topoclimatic Modeling of Thermopluviometric Variables for the Bío Bío and La Araucanía Regions, Chile
title_full Topoclimatic Modeling of Thermopluviometric Variables for the Bío Bío and La Araucanía Regions, Chile
title_fullStr Topoclimatic Modeling of Thermopluviometric Variables for the Bío Bío and La Araucanía Regions, Chile
title_full_unstemmed Topoclimatic Modeling of Thermopluviometric Variables for the Bío Bío and La Araucanía Regions, Chile
title_sort topoclimatic modeling of thermopluviometric variables for the bío bío and la araucanía regions, chile
publisher Instituto de Investigaciones Agropecuarias, INIA
publishDate 2010
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392010000400011
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