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Orienting the longer faces of buildings towards North and South directions to minimise solar gain has been practised as a thumb-rule by architects in India for a long time. This phenomenon has been aided by prescriptive suggestions in numerous texts which relied on the assumption that solar insolation is highest from the West and lowest from the No...
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Context 1
... are denoted by the conventional axes of graph. East direction (positive x-axis) is taken as 0 degree as shown in Figure 1. Angles are calculated in anticlockwise direction i.e. ...
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... are calculated in anticlockwise direction i.e. North is 90, West is 180 and South is 270 degrees as shown in Figure 1. Orientation of a building is taken as the direction or the angle that the length is facing. ...
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... of a building is taken as the direction or the angle that the length is facing. The axis of a building is parallel to its length, or conversely, perpendicular to its orientation as shown in Figure 1. Thus, a building of aspect ratio 4:1:4 placed according to Tr4 is orientated to NS and its axis is EW. ...
Citations
... 10 • Moreover, the data can be reused for further insights and development of experiments in 11 various research fields, such as environmental studies, urban sustainability, and built environ-12 ment studies, to understand better the UHI effect and its impact on the urban environment. 13 The presented workflow and method can also be replicated in other comparative studies to 14 collect and analyze relevant spatial data. archical principles allow the Part-Whole system to apply to all elements within the hierarchical 34 system, forming a part of the whole [5] . ...
... 213 By applying distance, we can match the index values of the GeoSeries (geometries) and com-214 pare elements with the same index with align = True or ignore the index and compare elements 215 based on their matching order with align = False [13] ( Fig. 6 ). 216 The code back ID of two adjacent buildings with the minimum distance in meters between has minimum solar gain [14] . Since data collection aims to create a predictable and explainable 231 ML UHI model, the sub-scoring of buildings oriented in NE-SW and NW-SE is crucial because it 232 shows us how buildings are exposed to solar radiation and receives heat wave. ...
... The east direction (positive x-axis) is assumed to be 0 degrees, as shown 236 in Fig. 1 . The angles are calculated in an anticlockwise direction, i.e., north is 90 °and west is 237 180 ° [14] . The orientation of a building is the direction or angle to which the length is facing. ...
The new digital era brings increasingly massive and complex interdisciplinary projects in various fields. At the same time, the availability of an accurate and reliable database plays a crucial role in achieving project goals. Meanwhile, urban projects and issues usually need to be analyzed to support the objectives of sustainable development of the built environment. Furthermore, the volume and variety of spatial data used to describe urban elements and phenomena have grown exponentially in recent decades. The scope of this dataset is to process spatial data to provide input data for the urban heat island (UHI) assessment project in Tallinn, Estonia. The dataset builds the generative, predictive, and explainable machine learning UHI model. The dataset presented here consists of multi-scale urban data. It provides essential baseline information for (i) urban planners, researchers, and practitioners to incorporate urban data in their research activities, (ii) architects and urban planners to improve the features of buildings and the city, considering urban data and the UHI effect, (iii) stakeholders, policymakers and administration in cities implementing built environment projects, and supporting urban sustainability goals. The dataset is available for download as supplementary material to this article.
