Sentence examples for gis domain from inspiring English sources

The 'Nu' of each order and the total stream numbers in the basin were calculated in GIS domain (Fig. 4 and Table 2).

very high to high (1) weightage factor, high to moderate (2), moderate to low (3), and low to very low (4) using spatial density analysis in GIS domain.

I hope that the availability of these will help us exchange 3D datasets and increase their usability, and that it will foster interoperability in the 3D GIS domain.

Driven by the recent trends in the GIS domain including Volunteered Geographic Information, geo-crowdsourcing and citizen science, and fostered by the constant technological advances, collection and dissemination of geospatial information by ordinary people has become commonplace.

To address the above limitations, we incorporated four types of functionally associated data in the model organism S.cerevisiae: PPIs, GIs, domain-domain interactions (DDIs) and semantic similarity of Gene Ontology (GO) terms.

This tool provided transparency in the process, and moved spatial analysis away from the domain of GIS experts to a broader group of stakeholders.

It uses high-granularity land use data available in the public domain and GIS-based image analysis of sample satellite images to estimate values of the Building Footprint Area (BFA) Ratio.

Similarly, in actinobacteria, it is embedded in gigantic proteins (>10,000 amino acids in length) with other peptidase domains such as the anthrax-lethal factor metallopeptidase, caspase-like and OTU domains (e.g. gis: 345002682, 326780819).

Studies that use GIS to integrate information across various domains, such as those being conducted on Long Island and Cape Cod, will be greatly improved by the availability of more comprehensive geographically referenced historical exposure data as they become available in the future.

It contains a web-based user interface where domain experts (e.g. GIS analysts or urban planners) can define high-level processing workflows using a domain-specific language (DSL).

Even though our models were based on monthly averages, included spatiotemporal modeling in addition to GIS predictors, and were applied to a larger domain (the northeastern and midwestern United States as opposed to three small areas in Europe), our model performance results were similar.