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It also describes the software architecture, the main modules, and the integration with GIS using a tight coupling approach.
The paper describes a vector field data model, which relates well to the field data model commonly implemented in GIS using a raster data type, and demonstrates its application for landscape characterization and hydrological modeling in GIS.
To compare the structural signal with the common sequence similarity measure, we tested the degree of sequence similarity among GIs using a BLAST E-value similarity threshold of 10-6 (the corresponding p-value, corrected for multiple testing, is 0.05).
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All geographic information systems (GISs) use a spatial database with, in addition, functions for presentation, visualization, and analysis of the spatially referenced data.
Because absence data are lacking, DIVA-GIS uses a set of random pseudo-absence points [38].
The method is based on spatial and statistical analyses conducted in a geographical information system (GIS), using data layers coming from a range of different sources.
The data in this file can again be seamlessly integrated into a GIS using simple macros and overlaid with the administrative, population, and other data previously inventoried to arrive rapidly at broad preliminary estimates of the potential population at risk from events of a certain minimum magnitude.
A GIS analysis, using a program in ArcGIS, was performed to measure the distance between pastured-pig farms and historical occurrences of T. spiralis in domestic pigs and wildlife.
Vector GIS using PostgreSQL (2005).
Lai and Schonfeld [10] optimized the location of rail transit lines and stations, based on GIS databases and using a genetic algorithm, but without considering phasing decisions.
This GIS-based analysis using a 70-year aerial photographic record was complemented by field-based research.
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