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A platform for research: civil engineering, architecture and urbanism
GIS-based approach to identify climatic zoning: A hierarchical clustering on principal component analysis
https://orcid.org/0000-0003-3825-8878
https://orcid.org/0000-0001-8216-265X
https://orcid.org/0000-0001-6706-4365
Abstract In tropical environments, the design of bioclimatic houses adapted to their environment represents a crucial issue when considering thermal comfort and limiting energy consumption. A preliminary aspect of such design endeavors is the acquisition of accurate knowledge regarding the climatic conditions in each region of the studied territory. The objective of this paper is to propose a climatic zoning for Madagascar from a database of 47 meteorological stations by performing hierarchical clustering on principal components (HCPC). The results are then combined with spatial interpolation using geographic information system (GIS) tools, enabling us to define three climate zones corresponding to dry, humid and highland areas. These results make it possible to define standard meteorological files to evaluate the thermal performance of traditional Malagasy houses. Regardless of the type of house and the areas considered, the percentage of thermal comfort according to the Givoni bioclimatic chart varies from average values of 20% without ventilation to 70% with an air velocity of 1 m/s. In summary, Madagascar's traditional habitat typologies have adapted over time to the constraints of their environment.
Highlights State of the art on various methods of climate zoning and review of climate zoning in Madagascar. A new combined method based multivariate analysis and GIS approach for climatic zoning. Proposal for a new climate mapping of Madagascar based on spatial interpolation using a GIS approach. Application of climate zoning data to the study of thermal comfort conditions in traditional Malagasy housing.
GIS-based approach to identify climatic zoning: A hierarchical clustering on principal component analysis
https://orcid.org/0000-0003-3825-8878
https://orcid.org/0000-0001-8216-265X
https://orcid.org/0000-0001-6706-4365
Abstract In tropical environments, the design of bioclimatic houses adapted to their environment represents a crucial issue when considering thermal comfort and limiting energy consumption. A preliminary aspect of such design endeavors is the acquisition of accurate knowledge regarding the climatic conditions in each region of the studied territory. The objective of this paper is to propose a climatic zoning for Madagascar from a database of 47 meteorological stations by performing hierarchical clustering on principal components (HCPC). The results are then combined with spatial interpolation using geographic information system (GIS) tools, enabling us to define three climate zones corresponding to dry, humid and highland areas. These results make it possible to define standard meteorological files to evaluate the thermal performance of traditional Malagasy houses. Regardless of the type of house and the areas considered, the percentage of thermal comfort according to the Givoni bioclimatic chart varies from average values of 20% without ventilation to 70% with an air velocity of 1 m/s. In summary, Madagascar's traditional habitat typologies have adapted over time to the constraints of their environment.
Highlights State of the art on various methods of climate zoning and review of climate zoning in Madagascar. A new combined method based multivariate analysis and GIS approach for climatic zoning. Proposal for a new climate mapping of Madagascar based on spatial interpolation using a GIS approach. Application of climate zoning data to the study of thermal comfort conditions in traditional Malagasy housing.
GIS-based approach to identify climatic zoning: A hierarchical clustering on principal component analysis
https://orcid.org/0000-0003-3825-8878
https://orcid.org/0000-0001-8216-265X
https://orcid.org/0000-0001-6706-4365
Abstract In tropical environments, the design of bioclimatic houses adapted to their environment represents a crucial issue when considering thermal comfort and limiting energy consumption. A preliminary aspect of such design endeavors is the acquisition of accurate knowledge regarding the climatic conditions in each region of the studied territory. The objective of this paper is to propose a climatic zoning for Madagascar from a database of 47 meteorological stations by performing hierarchical clustering on principal components (HCPC). The results are then combined with spatial interpolation using geographic information system (GIS) tools, enabling us to define three climate zones corresponding to dry, humid and highland areas. These results make it possible to define standard meteorological files to evaluate the thermal performance of traditional Malagasy houses. Regardless of the type of house and the areas considered, the percentage of thermal comfort according to the Givoni bioclimatic chart varies from average values of 20% without ventilation to 70% with an air velocity of 1 m/s. In summary, Madagascar's traditional habitat typologies have adapted over time to the constraints of their environment.
Highlights State of the art on various methods of climate zoning and review of climate zoning in Madagascar. A new combined method based multivariate analysis and GIS approach for climatic zoning. Proposal for a new climate mapping of Madagascar based on spatial interpolation using a GIS approach. Application of climate zoning data to the study of thermal comfort conditions in traditional Malagasy housing.
GIS-based approach to identify climatic zoning: A hierarchical clustering on principal component analysis
Praene, Jean Philippe (author) / Malet-Damour, Bruno (author) / Radanielina, Mamy Harimisa (author) / Fontaine, Ludovic (author) / Rivière, Garry (author)
Building and Environment ; 164
2019-08-04
Article (Journal)
Electronic Resource
English
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