We found significant interactions by region in the effects of two GIS-based time-invariant spatial covariates: urban land use within 1 km and elevation.
Of these GIs, there are seven GIs located within unique regions in the L. santarosai serovar Shermani genome.
The four GIs present in the Kp52.145 genome were present or partially present in NTUH, but none of them was present in SB2390, SB3193 and MGH 78578, indicating that their occurrence is specific to pathogenic genomes.
Our results indicate that (i) all eight GIS provide the basic GIS functionality needed in landscape ecology, (ii) they all facilitate customisation, and (iii) they all provide good support via forums and email lists.
In this study we examined the distribution of a representative sample of five GIs previously described for B. pseudomallei K96243.
Spatial data from public participation GIS (PPGIS) processes in two regions in Norway were used to evaluate spatial value transfer where the actual mapped distribution of cultural ecosystem values were compared to maps generated using value transfer coefficients.
The processing took place in two steps data processing and geoprocessing using GIS.
Based on the four GIS-based 3D slope stability analysis models, a GIS-based program, 3DSlopeGIS, has been developed to implement the algorithm where all the input data are in the same format as the GIS dataset.
The 2D GIS display can be panned and zoomed in two dimensions.
