Sentence examples for gis climate from inspiring English sources

We obtained the abiotic variables from the WorldClim GIS climate database [59].

We first quantify the climatic niche space of Malagasy primates based on known localities of species occurrence and GIS climate data using an ecological niche modeling approach.

We collected data for 43 extant species including: 1) 1064 species by locality samples, 2) GIS climate data for each sampling locality, and 3) the phylogenetic relationships of the species.

Kolivras (2010) estimated intraannual climate-induced range changes of Ae. albopictus in Hawaii using a geographic information system (GIS), climate data, and the known habitat of the mosquito.

The Nuxalk First Nation Bella Coola community was selected as a case study, with GIS, ground surveys, and climate data used to design DES routes and determine heat demand.

His area of research is on Environmental Geochemistry, Environmental Pollution, Remote Sensing and GIS, Disaster management, Hydrogeomorphology and Climate change.

His area of research is on Environmental Geochemistry, Soil Science, Environmental Pollution, Remote Sensing and GIS, Disaster management, Hydromorphology and Climate Change.

Over the past decades, the application of interpolation techniques had drawn more attention in climate analysis, and GIS-based spatial interpolation methods had been widely employed for climate analysis (Jeffrey et al. 2001; Naoum and Tsanis 2004; Hijmans et al. 2005; Hong et al. 2005; Van der Heijden and Haberlandt 2010; Wu and Li 2013).

Global climate models developed for GISs [ 42] link climatic information with sampled individuals, providing both quantitative environmental data for each individual studied and a means for controlling spatial bias over genetic diversity.

We therefore compiled the most recent continental scale information on soil, land use, geology, hydrogeology and climate in a Geographical Information System (GIS) at a resolution of 15 km × 15 km and at the scale of 1 60,000,000.

For the transfer of the aggregated yield data (35 nFK classes, 5 climate regions) to the actual GIS (geographical information system) soil type data table, polynomial equations describing the relation between the nFK class of each soil type and the corresponding yield for each crop have been generated.