dor_id: 4120612

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590.#.#.d: Los artículos enviados a la revista "Investigaciones Geográficas", se juzgan por medio de un proceso de revisión por pares

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650.#.4.x: Ciencias Sociales y Económicas

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: http://www.investigacionesgeograficas.unam.mx/index.php/rig/index

351.#.#.b: Investigaciones Geográficas

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

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856.4.0.u: http://www.investigacionesgeograficas.unam.mx/index.php/rig/article/view/34534/31471

100.1.#.a: Velázquez Ruiz, Antonio; Martínez R., Luis Manuel; Carrillo González, Fátima Maciel

524.#.#.a: Velázquez Ruiz, Antonio, et al. (2012). Climatic characterization of the Banderas Bay Region using Köppen’s system modified by García and Geographic Information Systems techniques. Investigaciones Geográficas; Núm. 79. Recuperado de https://repositorio.unam.mx/contenidos/4120612

245.1.0.a: Climatic characterization of the Banderas Bay Region using Köppen’s system modified by García and Geographic Information Systems techniques

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Geografía, UNAM

264.#.0.c: 2012

264.#.1.c: 2012-11-30

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC 4.0 Internacional, https://creativecommons.org/licenses/by-nc/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico dianachg@igg.unam.mx

884.#.#.k: http://www.investigacionesgeograficas.unam.mx/index.php/rig/article/view/34534

001.#.#.#: 073.oai:ojs.pkp.sfu.ca:article/34534

041.#.7.h: spa

520.3.#.a: The identification of different climatic zones can be an important factor for decision-makers in various fields such as urban planning and agricultural alternatives. In order to characterize the climates of the region of Bahía de Banderas (BB) Mexico, we adopted a methodology that combines the use of the Köppen climate classification modified by Garc.a for Mexico and methods of Geographic Information Systems (GIS). We used simple regression between temperature (dependent variable) and height as independent variable. Multiple regressions were applied for rainfall (dependent variable) and geographical data as independent variables (thermal continentality, thermopluviometric index and slope). The temperature and precipitation data were obtained from the Comisión Nacional del Agua, and ERIC III, 2006 database. Information from geographical variables was obtained from a Digital Elevation Model and Gorzynski’s Index of Continentality. The coefficients of simple and multiple regressions were used to construct digital maps of annual temperature and precipitation via GIS. With these maps and using the CCK-EG tool, we generated the final map of climatic characterization. The result was highly representative. The determination coefficients were 0.82 and 0.39 for temperature and precipitation respectively. The resulting classification for each of the stations was located in their corresponding climate zone on the final map. Zones and climatic limits were identified for this study region.

773.1.#.t: Investigaciones Geográficas; Núm. 79

773.1.#.o: http://www.investigacionesgeograficas.unam.mx/index.php/rig/index

022.#.#.a: ISSN electrónico: 2448-7279; ISSN impreso: 0188-4611

310.#.#.a: Cuatrimestral

264.#.1.b: Instituto de Geografía, UNAM

doi: https://doi.org/10.14350/rig.34534

handle: 273e179b8c0daee6

harvesting_date: 2023-08-23 17:00:00.0

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245.1.0.b: Caracterización climática para la región de Bahía de Banderas mediante el sistema de Köppen, modificado por García, y técnicas de sistemas de información geográfica

last_modified: 2023-08-23 17:00:00

license_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode.es

license_type: by-nc

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Artículo

Climatic characterization of the Banderas Bay Region using Köppen’s system modified by García and Geographic Information Systems techniques

Velázquez Ruiz, Antonio; Martínez R., Luis Manuel; Carrillo González, Fátima Maciel

Instituto de Geografía, UNAM, publicado en Investigaciones Geográficas, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Entidad o dependencia
Instituto de Geografía, UNAM
Revista
Repositorio
Contacto
Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

Cita

Velázquez Ruiz, Antonio, et al. (2012). Climatic characterization of the Banderas Bay Region using Köppen’s system modified by García and Geographic Information Systems techniques. Investigaciones Geográficas; Núm. 79. Recuperado de https://repositorio.unam.mx/contenidos/4120612

Descripción del recurso

Autor(es)
Velázquez Ruiz, Antonio; Martínez R., Luis Manuel; Carrillo González, Fátima Maciel
Tipo
Artículo de Investigación
Área del conocimiento
Ciencias Sociales y Económicas
Título
Climatic characterization of the Banderas Bay Region using Köppen’s system modified by García and Geographic Information Systems techniques
Fecha
2012-11-30
Resumen
The identification of different climatic zones can be an important factor for decision-makers in various fields such as urban planning and agricultural alternatives. In order to characterize the climates of the region of Bahía de Banderas (BB) Mexico, we adopted a methodology that combines the use of the Köppen climate classification modified by Garc.a for Mexico and methods of Geographic Information Systems (GIS). We used simple regression between temperature (dependent variable) and height as independent variable. Multiple regressions were applied for rainfall (dependent variable) and geographical data as independent variables (thermal continentality, thermopluviometric index and slope). The temperature and precipitation data were obtained from the Comisión Nacional del Agua, and ERIC III, 2006 database. Information from geographical variables was obtained from a Digital Elevation Model and Gorzynski’s Index of Continentality. The coefficients of simple and multiple regressions were used to construct digital maps of annual temperature and precipitation via GIS. With these maps and using the CCK-EG tool, we generated the final map of climatic characterization. The result was highly representative. The determination coefficients were 0.82 and 0.39 for temperature and precipitation respectively. The resulting classification for each of the stations was located in their corresponding climate zone on the final map. Zones and climatic limits were identified for this study region.
Idioma
spa
ISSN
ISSN electrónico: 2448-7279; ISSN impreso: 0188-4611

Enlaces