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This GIS predictive modelling allowed to identify different areas with high archaeological potential.
A combination of modelled and monitored data was found to be optimal to achieve accurate predictions for eelgrass development in the Limfjorden using this GIS tool.
Researchers such as Sarma and Saraf (2002); Ganapuram et al. 2008 and Muthukrishnan and Manjunatha (2008) also have applied this GIS modeling technique for delineation of groundwater potential zones in their research study area.
The output of all three approaches is quantitative and for this GIS, remote sensing techniques, and specialized computer-based modeling approaches are widely used (Chen et al. 1998; Chiroiu and André 2001; Chiroiu 2005).
In order to implement the current model or to use this GIS tool in other locations, it is needed to have detailed knowledge of the area in focus, especially on the controlling ecosystem parameters and pressures.
Researchers, such as Sarma and Saraf 2002; Khan and Moharana 2002; Nag 2005; Rokade et al. 2007; Muthukrishnan and Manjunatha 2008; Prasad et al. 2008; Chowdhury et al. 2009; Dar et al. 2010; Rashid et al. 2011; Magesh et al. 2012, Pandian and Kumanon 2013 also have applied this GIS modeling technique for delineation of groundwater potential zones in their research study area.
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This GIS-based analysis using a 70-year aerial photographic record was complemented by field-based research.
This GIS-based study used aerial oblique photography and satellite optical imagery, complemented with a land survey for a more precise topographic reconstruction.
This GIS-based software predicts the risks associated with contaminated water entering water distribution systems from surrounding foul water bodies such as sewers, drains and ditches.
The next section will throw more light on the practical ways in which this GIS-based tool can be used to enhance the project planning process for maintenance and construction projects.
Certain widely addressed examples are evaluated in this paper and the results show the correction and potential of this GIS-based tool as a means of assessing the 3D stability of a slope.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com