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Griffin et al. (2017) have comprehensively discussed GIS and their applications.
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To cope with this limitation, Burrough (Burrough 1992) discussed an "intelligent GIS" to benefit from available metadata to support the use of uncertain data.
Sources of data are reviewed, and GISs are discussed from the perspectives of client server architectures, the Internet, Internet-based services, data archives, and digital libraries.
Applications of sampling using remote sensing techniques and GIS are briefly discussed.
Numerous modeling techniques used to integrate environmental models with GIS have been discussed and analyzed earlier by many researchers to find an optimum combination of various methods (Alaghmand et al. 2008).
Based on these criteria 326 of 519 (62.8 %) of unique genes are located in the genomic islands of SCBI and as discussed below most of these GIs encode functions of potential biological relevance to the EPN lifestyle (Table 2).
Three input data (indicator values) representing the three components (i.e., A, R and C) were prepared in GIS following the procedure discussed hereunder.
The role of GIS in exposure assessment is discussed in detail by Nuckols et al. (2004).
If differences were noted between the course of ILI based on GIS and the sentinel GPs, this was discussed on the website to keep the participants involved and motivated.
Implementation issues for a GIS-based ecological risk assessment model are discussed.
Very fewer papers in the literature have discussed the broad conceptual issues involved in the integration of GIS with hydrological modeling.
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