weather condition is one of the much effective factors in the principle of architecture and urbanization. so in this research long-term trend of effective climate elements in architecture of darab city including mean of minimum temperature, temperature mean, mean of maximum temperature, minimum relative humidity, maximum relative humidity, relative humidity mean, wind speed and sun hours in mon...

New records of the spider Chibchea salta Huber 2000 (Araneae, Pholcidae) from northwestern Argentina are provided, and the potential range of this species is modeled. Two presence-only methods, Maxent and Bioclim, were run using 19 bioclimatic parameters at a resolution of 30 arc seconds. The climatic profile of C. salta is described, and the relative importance of the bioclimatic variables is ...

The well-known Darwinian evolutionary theory (1859) introduced natural selection as the most important mechanism of evolutionary processes at every level from biological systems, including species, individual organisms... to molecules such as DNA or proteins. In architecture we observe similar evolution processes which lead to the development of various architectural movements and concepts from...

Weather condition is one of the much effective factors in the principle of architecture and urbanization. So in this research long-term trend of effective climate elements in architecture of Darab city including mean of minimum temperature, temperature mean, mean of maximum temperature, minimum relative humidity, maximum relative humidity, relative humidity mean, wind speed and sun hours in mon...

Africa is predicted to be highly vulnerable to 21st century climatic changes. Assessing the impacts of these changes on Africa’s biodiversity is, however, plagued by uncertainties, and markedly different results can be obtained from alternative bioclimatic envelope models or future climate projections. Using an ensemble forecasting framework, we examine projections of future shifts in climatic ...

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...