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Three GIs of each genome encoded restriction-modification systems that may act as mechanisms of resistance to bacteriophages or foreign DNA.
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For spatial variables the Geographic Information System (GIS) shape of each location is used to calculate values on a grid which is bounded by that location shape.
The gis of all proteins under consideration are also provided along with an appropriate classification.
With the support of GIS software, each variable was classified and entered into the multivariate regression model.
The method using two layers of GIS information of online map images, which support to estimate not only the shape of road network but also the directed road.
We identified ecoregions totally or partially within hotspots by manual comparison of GIS shapefiles of ecoregions and all core and extended hotspots.
Finally, to maximize data reliability, we sought the most active and experienced participants by 1) eliminating the first instance of GIS participation for each individual and 2) excluding any individual with fewer than three instances of participation.
They were located in GIS using the centre of each postcode.
The categorical explanatory variables (land use classes and pre-event landslides) for the multivariate terrain classification were computed in a GIS as the percentage of each class in each slope unit.
These factors were statistically analyzed by slope units within the scope of GIS, after the construction of the geo-database.
Table 2 Software licenses of the FOS GIS components of the COBWEB framework Software License GeoServer GPL GeoNetwork GPL PostGIS GPL 2.0 Leaflet BSD-2.
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