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The integrated use of data analysis and Multi-criteria Decision Analysis approach, in a GIS context, resulted in a visible assessment of current land use in Regina.
This chapter explores a set of intelligent methods to solve the electric distribution planning and operation problems in a geographic information system (GIS) context.
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This papers tries to illustrate the exploratory use of GIS within the context of landscape research in archaeology.
Reflecting upon the case, I provide a set of recommendations to those seeking to better negotiate the tensions of supporting collaboration with GIS in the context of contentious environmental and natural resource decisions.
In this context, Public Participation GIS (PPGIS) or Participatory GIS [50, 51, 52, 53] have been developed as a powerful tool for supporting non-experts' involvement in transport decision-making processes, thanks to the power of visualization which increases the awareness about the decision to be made.
In this context, the GIS-based mapping or monitoring results like vegetation maps, vegetation inventories, land use/land cover maps, or vegetation time series (like crop rotations) serve as a key information source for spatial decision making processes.
In the context of GIS-MCDA uncertainty, there is a strong relationship between data uncertainty and parameter uncertainty, since model parameters are obtained directly from measured data, or indirectly by calibration (Ascough et al., 2008).
Even though it is not the purpose of this study to rate the political stability of single countries in the context of the GIS analysis, it is still evident that the risk of supply shortfalls increases with the number of transit countries.
In the context of applying GIS-MCDA to LSM we already compared different MCDA methods and their capabilities (see Feizizadeh et al., 2012, 2013; Feizizadeh and Blaschke, 2013a, 2013b).
Hence we created a GIS toolbox, the LAGOS-GIS toolbox, containing multiple tools to calculate a series of metrics from these layers, in order to define, classify, and characterize the population of surface water environments found in the study extent, based on their hydrologic and landscape context.
The paper presents a case study for the application of satellite remote sensing and GIS data and methods in the context of habitat monitoring and landscape assessment at different scales.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com