Climate-driven shifts in trans-Saharan bird migration illustrated by the spotted flycatcher (Muscicapa striata). [PDF]
López-Ramírez S +3 more
europepmc +1 more source
Investigating sand dunes flora conservation based on remote sensing and predictive modeling in the Mediterranean coastal region, Egypt. [PDF]
El-Khalafy MM +4 more
europepmc +1 more source
Spatially explicit prediction of Nepal's forest biomass stocks, a data-driven bioregionalisation and machine learning approach. [PDF]
Khanal S, Nolan RH, Medlyn BE, Boer MM.
europepmc +1 more source
Advances in artificial intelligence to model the impact of El Niño-Southern Oscillation on crop yield variability. [PDF]
Wannasingha UH +5 more
europepmc +1 more source
A Bio-Inspired Approach to Sustainable Building Design Optimization: Multi-Objective Flow Direction Algorithm with One-Hot Encoding. [PDF]
Canbolat AS, Albak Eİ.
europepmc +1 more source
Multi-model approach to understand and predict past and future dengue epidemic dynamics. [PDF]
Mills C +5 more
europepmc +1 more source
Related searches:
A GRAPHICAL METHOD FOR DETERMINING THORNTHWAITE CLIMATE CLASSIFICATIONS
Annals of the Association of American Geographers, 1969ABSTRACT This paper presents procedures whereby the symbolization of Thornthwaite's climatic classification may be quickly and accurately determined by use of graphs and nomograms. Potential evapotranspiration adjusted for months and latitude of the station is accomplished graphically.
ROBERT M. BASILE, SAMUEL W. CORBIN
openaire +1 more source
A new method of vegetation–climate classification in China
International Journal of Climatology, 2007AbstractCoefficient C is a synthetic index from the third correlative equation, which represents the state of moisture in a region and may be used for assigning vegetation zonality. The third correlative equation is a new equation concerning heat and water balance from knowledge of evaporation on land.
Sun Yanling, Yan Xiaodong, Xie Deti
openaire +1 more source

