Bioclimatic design recommendations for novel cluster analysis-based mapping for humid climates with altitudinal gradient variations

Mejía-Parada, Cristian; Mora-Ruiz, Viviana; Attia, Shady

doi:10.1016/j.jobe.2023.108262

Cited by 1 publication

(6 citation statements)

References 49 publications

(82 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This process allowed a visual identification of the different climatic regions and provided a cartographic representation of the classifications obtained. [4] Atmosphere 2024, 15, x FOR PEER REVIEW 8 of 30…”

Section: Methodsmentioning

confidence: 99%

“…In recent decades, clustering techniques have gained popularity due to their quantitative and objective approach [4,19,20]. This methodology for climate zoning uses unsupervised clustering algorithms to identify patterns and similarities in large sets of climate data [21].…”

Section: Climate Zoning Backgroundmentioning

confidence: 99%

“…Use: thermal comfort evaluation. Bioclimatic design zoning [4] Climate Zoning [30] Use: architecture and building design. Use: architecture and building recommendations.…”

Section: Köppen-geiger Classificationmentioning

confidence: 99%

“…This tool offers several advantages in identifying patterns and hidden structures in large datasets. In climate classification, it is a tool that has proven to be very useful in the grouping of geographic areas with similar climatic patterns [4,19,20,34].…”

Section: Clustering Analysismentioning

confidence: 99%

“…The integration of satellite data into the climate characterization of a region provides crucial information for the identification of vulnerable areas and the implementation of specific adaptation measures. In the field of urban design and sustainable building construction, the ability to analyze climate patterns at the local and regional levels allows for more precise planning of urban infrastructure, the orientation of buildings to maximize solar energy capture, or the implementation of passive heating and cooling strategies [4]. The integration of satellite data into the climate characterization of a region contributes to improving the assessment of thermal comfort of people and the potential energy demand and greenhouse gas emissions associated with heating and cooling systems [5].…”

Section: Introduction 1conceptualizationmentioning

confidence: 99%

See 4 more Smart Citations

Microclimate Zoning Based on Double Clustering Method for Humid Climates with Altitudinal Gradient Variations: A Case Study of Colombia

Mejía-Parada,

Mora-Ruiz,

Soto-Paz

et al. 2024

Atmosphere

Self Cite

View full text Add to dashboard Cite

Climatic classification is essential for evaluating climate parameters that allow sustainable urban planning and resource management in countries with difficult access to meteorological information. Clustering methods are on trend to identify climate zoning; however, for microclimate, it is necessary to apply a double clustering technique to reduce the variability from former clusters. This research raised a climate classification of an emerging country, Colombia, using climatological models based on freely available satellite image data. A double clustering approach was applied, including climatological, geographic, and topographic patterns. The research was divided into four stages, covering the collection and selection of climatic and geographic data, and multivariate statistical analysis including principal components analysis (PCA) and agglomerative hierarchical clustering (HAC). The meteorological data were from reliable sources from the Center for Hydrometeorology and Remote Sensing (CHRS) and the National Renewable Energy Laboratory (NREL). The results showed that a total of 17 microclimates distributed across the country were identified, each characterized by a different threshold of the climatic and geographic factors evaluated. This subdivision provided a detailed understanding of local climatic conditions, especially in the mountain chains of the Andes.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Climate Zoning Backgroundmentioning

confidence: 99%

“…Use: thermal comfort evaluation. Bioclimatic design zoning [4] Climate Zoning [30] Use: architecture and building design. Use: architecture and building recommendations.…”

Section: Köppen-geiger Classificationmentioning

confidence: 99%