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We used the Russian search term "аптека" [pharmacy] on Google maps to identify pharmacy location and Quantum GIS to generate a map of pharmacy density in relationship with data on HIV prevalence in residential areas of the city [ 33].
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DIVA-GIS [39] is a free and open-source GIS to generate and analyse worldwide maps on species distribution data.
GIS analysis was used to generate a lithology index (Sl value) and a relief index (Sr value).
Finally, all of the parameters were rasterized and analysed in GIS platform in order to generate a coseismic landslide susceptibility model (Fig. 5) and the summary of input data can be seen in Table 2.
Remote-sensing images were used to generate a landuse map of the study area in a GIS environment to determine the relationships between geomorphological units.
GIS was used to add the geographical dimension to the original project in order to generate a technical analysis linked to the specific constrictions imposed by territory (natural and anthropogenic) and not just designed to cover a certain demand.
Our results showed that 3D GIS helped to generate objective measures on view related features.
These GPS readings were then uploaded to and processed by the GIS software to generate the maps.
These SOI topographical maps were digitized in the ArcMap GIS 10.2 software to generate the base map of the West Bokaro coalfield (Fig. 1).
Using a GIS, we generated a risk map to predict the presence of the tick vector, I. scapularis.
Our models are similar to this modeling approach: Both include spatial smoothing and GIS-based covariates to generate predictions.
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