The purpose of this GIS-based hotspot identification taxonomy is to bring together strategies for planning and evaluation of selective traffic enforcement programs (STEPs). The HIT model is specifically designed for enforcement programs that focus on events and countermeasures that can be spatially and temporally described. The HIT model encompasses four core activities that are tightly integra...

This paper describes multiple criteria models that can be used to assess land condition in general, and military training areas in particular. Three measures of land condition are used, namely: 1) erosion status, which is estimated based on the Revised Universal Soil Loss Equation (RUSLE), 2) percent vegetative cover, and 3) range condition. In addition, the paper also describes site-specific t...

A bottleneck in the use of Geographic Information Systems (GIS) is the cost of data acquisition. In our case, we are interested in producing GIS layers containing useful information for river flood impact assessment. Geometric models can be used to describe regions of the data which correspond to man-made constructions. Probabilistic models can be used to describe vegetation and other features....

The Tinto-Odiel estuary area in SW Spain presents a high concentration of industrial, agricultural and mining activities that seriously affect water quality, producing significant concentrations in trace metals and other contaminant elements. Previous studies have highlighted the important environmental effect of these contaminated waters discharged into the Gulf of Cadiz, contributing in a mar...

open source gis researchgate open source gis a grass gis approach kluwer international a grass gis approach home springer open source gis a grass gis approach darkip neteler mitasova 19 mar 2004 open source gis: grass book the contribution of gis in flood mapping: two approaches open source gis: a grass gis approachthird open source approach to urban growth simulation researchgate implementing ...

With rapid population growth over the past 30 years and no significance seismic activity during this period, the unchecked development of the built environment in Bangladesh has been resulted in little resilience to earthquake. Identifying buildings due to this unchecked development that has high vulnerability is of critical importance both for reliable loss estimation as a result of an expecte...

Artificial Neural Networks (ANNs) are well suited to implementing supervised classification tools for GIS data. They make no assumptions about the statistical nature of the data, can be used with ordinal and nominal data types together and can be trained with comparatively few training points, as they do not have to choose a data distribution model, unlike techniques such as Maximum Likelihood ...

AGNPS, which is an agricultural non-point source pollution model, was used in combination with GIS tools to assess the feasibility of water quality effluent trading for phosphorus, in Morrow Lake sub-watershed, Kalamazoo, Michigan, USA. GIS software packages (Arc/Info and ArcView) were used to prepare data input for the model and post process the results. The sensitivity of AGNPS parameters was...

based model describing the processes of interception, infiltration, surface runoff, and erosion from small agricultural and urban watersheds (Smith et al., 1995). In this model, watersheds are represented by subdividing contributing areas into a cascade of one-dimensional overland flow and channel elements using topographic information. A broadly updated version of KINEROS, KINEROS2 may be used...