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...
Guardado en:
Autores principales: | , , , |
---|---|
Lenguaje: | English |
Publicado: |
Instituto de Investigaciones Agropecuarias, INIA
2010
|
Materias: | |
Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392010000400011 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:scielo:S0718-58392010000400011 |
---|---|
record_format |
dspace |
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 |
work_keys_str_mv |
AT diazmdiego topoclimaticmodelingofthermopluviometricvariablesforthebiobioandlaaraucaniaregionschile AT moralessluis topoclimaticmodelingofthermopluviometricvariablesforthebiobioandlaaraucaniaregionschile AT castellaroggiorgio topoclimaticmodelingofthermopluviometricvariablesforthebiobioandlaaraucaniaregionschile AT neirarfernando topoclimaticmodelingofthermopluviometricvariablesforthebiobioandlaaraucaniaregionschile |
_version_ |
1714205289113190400 |