The functionality of spatial process analysis is the foundation of GIS’s comprehensive application . To realize such a goal. it is desirable that not only the data model of GIS can represent the datasets needed by spatial process models, but also GIS is able to do multitemporal spatial analysis. But most of current GISs are static in essence, they cannot represent temporal information and tempo...

Modeling the impact of non-point source pollution in catchments is a complex problem, and one that has troubled natural resource managers for many years. The development of spatially distributed hydrologic models has led to improved model forecasting at the cost of requiring more detailed spatial information. In addition, the analysis is much more sensitive to errors in the data. Incorporation ...

The significant function of GIS technology in promoting the railway development in this information era is now attracting great attention from the Ministry of Railway and the State decision-making institutions of the P.R.China. However, until present, the GIS has not been economised on the Chinese Railway. Discussions have been made on the several critical issues in building up the railway GIS....

One of the most powerful capabilities of GIS, particularly for the earth and environmental sciences, is that it permits the derivation of new attributes from attributes already held in the GIS database. For example, elevation data in the form of a digital elevation model (DEM) can be used to derive maps of gradient and aspect (Hutchinson and Gallant, Chapter 9); or digital maps of soil type and...

GIS is a technology with the potential to transform government by enhancing business processes and providing a platform to manage spatial and non-spatial data, which is expected to result in better decision-making. However, little is known about how this technology is actually implemented organization-wide and the environment surrounding its use. Current GIS maturity models have not examined us...

Atmospheric pollution due to the use of agricultural pesticide is a major concern today, regarding both public health, sustainable agriculture and ecosystems quality monitoring. This work aims to model pesticide atmospheric dispersion and to propose an useful air pollution prediction tool, using fluid mechanics equations and open-source GIS programming capabilities. This work focuses on pestici...

Uncertainty analysis (UA) and Sensitivity analysis (SA) are prerequisites for model building. UA aims to quantify the overall uncertainty associated with the model response as a result of uncertainties in the model input. SA studies how the variation in the model output can be apportioned to different sources of variations. Both UA and SA have been successfully applied in many different fields....

Geographic information systems are a part of the "building whole systems" tradition of computer science, combining aspects from many disciplines within the field. To understand the research needs at the intersection of computing and GIS, we need to understand the goals and purpose of GIS users and developers. A GIS is not a "database with spatial spice" or "nomadic computing with location throw...

Selecting a Geographic Information System (GIS) based on Free Software (FS) is a difficult task vis-à-vis its technological complexity, the wide range of this type of systems and their functionalities. Therefore, provides a set of quality characteristics used to evaluate FS-GIS. This set of characteristics is presented on the product perspective of the Systemic Software Quality Model (MOSCA), w...

A genetic interaction (GI) is defined when the mutation of one gene modifies the phenotypic expression associated with the mutation of a second gene. Genome-wide efforts to map GIs in yeast revealed structural and functional properties of a GI network. This provided insights into the mechanisms underlying the robustness of yeast to genetic and environmental insults, and also into the link exist...