BIOCLIMATIC ADAPTATION OF TYPICAL HOUSES IN KAMPONG’S SURABAYA
نویسندگان
چکیده
منابع مشابه
Bioclimatic Models in Entomology
Because climate has such a profound effect on the distribution and abundance of invertebrates, quantification of climatic influences on insects has been of considerable interest to entomologists for well over a century. While simple predictive models were developed early on, easier access to computers in the 1970s resulted in the development of computer based models to predict the biotic potent...
متن کاملIntelligent Bioclimatic Architectural Design
To produce intelligent bioclimatic architectural design software one must put together many different modules, such as, architectural design programs, bioclimatic design programs and expert consultation systems. The problem is very complex and many different technologies must be integrated. A first approach is to produce a module-based system, where every module provides its output to the next ...
متن کاملTypical levels of airborne fungal spores in houses without obvious moisture problems during a rainy season in Florida, USA.
OBJECTIVE The aim of this study was to determine types and levels of airborne fungal spores in air-conditioned homes built after 1980 without obvious moisture problems during the 2004 summer (rainy season) in central Florida, USA. METHODS Eighteen single-family homes were selected based on protocol questionnaire and cursory inspection, which revealed no obvious moisture or visible fungal grow...
متن کاملCharacterizing imageability in Gajar houses of Tabriz
Aims: From Lufor’s perspective, space is constructed based on spatial operation, recreation and the space in which recreation takes place. This approach is a descriptive view of the relationship between space from a materialistic point of view and its dominant ideas with its dwellers. In this perspective, humans integrate distinct and indistinct data of space and create map-like mental images f...
متن کاملMachine Learning for Bioclimatic Modellin
Many machine learning (ML) approaches are widely used to generate bioclimatic models for prediction of geographic range of organism as a function of climate. Applications such as prediction of range shift in organism, range of invasive species influenced by climate change are important parameters in understanding the impact of climate change. However, success of machine learning-based approache...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of architecture&ENVIRONMENT
سال: 2018
ISSN: 2355-262X,1412-937X
DOI: 10.12962/j2355262x.v17i2.a4322