Based on the present GIS-based approach and case study, the suggestions and implications for local resources protection and eco-environmental management were extensively discussed.
The presented GIS analysis might hence be a tool for the identification of suitable starting points of power line corridors.
The visualized proportional circle maps presented GIS usefulness in the active surveillance of CBPP, and if used in conjunction with sero-diagnosis, the maps would aid policymakers with practical imageries for livestock disease control decisions in pastoral cattle herds.
Similarly, no statistically significant difference in PV change was observed between participants presenting GIS and no-GIS in the MSUM (peak value 21 ± 12%%) and the 24 h (peak value 9 ± 11 %) and between participants presenting DI and no-DI in the MSUM.
No statistically significant difference in pre- and post-stage POsmol (coefficient of variation: 3.5 %) was observed between participants presenting GIS and no-GIS in the MSUM (overall mean 286±± 8 mOsmol/kg) and the 24 h (overall mean 286 ± 11 mOsmol/kg) and between participants presenting DI and no-DI in the MSUM (overall mean: 287 ± 7 mOsmol/kg).
The presented GIS-based fuzzy-MCDA framework was applied to landslide hazard, in order to understand the processes that contribute to the landslides.
In the present study, "GIs" specifically refer to images with a practical spatial resolution of (sim 50hbox { km}) or slightly worse, such as Polar/UVI or IMAGE/FUV images.
First, we present a GIS-based decision support system, the first of its kind, for hotel brokers.
This chapter presents the GIS business logical process constructed by J2EE providing spatial data and geoprocessing services.
Here we present a GIS-based framework that can help decision-makers to prioritize the spatial allocation of policy interventions at different spatial scales or administrative levels.
We present a GIS-based decision support system that can both, estimate objective hotel room rates using essential hotel and locational characteristics and predict temporal room rate prices.
