Exact(6)
The modelling was performed within a geographical information system (GIS), to derive a landslide hazard map of the North-West marginal hills of the Achham.
The method uses a Geographic Information System (GIS) to derive candidate PCDs and then identifies those PCDs that significantly predict road flooding using a statistical modelling approach.
The modelling was performed within a geographical information system (GIS), to derive a landslide hazard map of the south-western marginal hills of the Kathmandu Valley.
Using aerial detection survey maps and GIS to derive nearest neighbor distances, trends in the proximity of DFB infestations within a single year (t), and between-years (t + 1) were determined and spatial patterns of infestations were investigated.
We used a Geographical Information System (GIS) to derive detailed and aetiologically relevant indicators of environmental sources and points of contamination.
Only very recently, researchers have been considering the use of GIS to derive personal exposure estimates by linking information about personal activity and behavioral patterns with environmental data (Hellstrom et al. 2004; Jarup 2004; Nuckols et al. 2004).
Similar(54)
In the past decade, several studies used SRTM (90 m resolution) and/or ASTER (30 m resolution) DEMs in a GIS environment to derive morphometric characteristics of watersheds with different geological and hydrological settings (e.g., Romshoo et al. 2012; Thomas et al. 2012; Gajbhiye et al. 2014).
We use national scale data sets and GIS analysis to derive data on stream transportation network interactions in two broad categories: (1) crossing impacts, such as bridges and culverts, and (2) impacts where transportation infrastructure acts as a longitudinal dam along the stream channel, causing lateral floodplain disconnection.
A geographic information system (GIS) was used to derive the following model covariates: population density, distance to nearest road, elevation, and urban land use.
The raster datasets of climatic parameters have been analyzed in GIS to get derived and classified parameters required in the Mahoney Tables method for computation of six climatic indicators.
To address the challenge of multiple administrative areal units, we applied GIS-based techniques to derive and validate area-weighted prevalence estimates at a common unit of analysis.
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