The objective ofthe research project is to investigate the use of ArcView-GIS (a Geographical Information Systems software package) to promote cognitive development , at the University of KwaZulu-Natal. To understand the impact of ArcView-GIS as a learning tool will require an understanding ofhow it is used, what learning goals are held by educators and students and the type of assessments used to evaluate student achievement. It is argued that the use of GIS software promotes development of a wide range of skills. A research instrument to measure skills related to visualization, language, mathematics and logics was used to evaluate learners from a number of different groups which included science undergraduates, humanities undergraduates and GIS students (2 groups: one group took the test after the completion and the other group prior to the GIS course). In addition GIS experts and students evaluated the user interface of ArcVIewGIS. Results show that those learners exposed to GIS performed better in all the skills evaluated than any of the other groups. Also, experts and GIS students found the software interface satisfactory. The findings suggest that ArcView-GIS can support higher-order thinking by engaging students in authentic, complex tasks within an appropriate learning context. / Thesis (M.A.)-University of KwaZulu-Natal, Durban, 2005.

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Every year thousands of tons of chemicals are transported by railroad in Delaware County, Indiana. All the rail lines pass through the geographical center of Muncie. Because of population densities close to rail lines is high, the vulnerability is substantial for any kind of chemical spill.To respond to possible emergency problems, the latest technology is needed which can be used in the most efficient and fastest way, so that lives can be protected. GIS can provide detailed, and time sensitive information before and after the disaster, thereby increasing the ability to make better decisions during the time of emergency.According to Gosnell (2004), the Emergency Management Agency of Delaware County is least prepared for any kind of action plan if a chemical spill situation occurs. This research is intended to create an Emergency Management System for a hypothetical chemical spill involving all the five phases of operation using GIS so that it can be a demonstration for the emergency management agency of Delaware County of how such a situation can be planned from its initial stage to final stage of operation thereby the life, property and environment can be protected. / Department of Geography

Implementing Geographic Information Systems (GIS) in a developing country can improve spatial planning and decision-making. Utilizing a Participatory GIS framework of maximizing community empowerment and limiting marginalization, this thesis research explores the barriers associated with implementing GIS in Dangriga, Belize and how to overcome those barriers. The research included the identification of local needs that could benefit from the use of GIS, the collection of local data through group and individual data collections, and the utilization of locally collected data to conduct GIS training sessions. It was learned that Dangriga faces many barriers found in other developing countries: institutional inertia, resource and technical availabilities, and a lack of trained personnel. Through the collection of local data and training sessions utilizing the data, the barriers of implementing GIS in Dangriga can be minimized.

The research methodology comprises theoretical, empirical and evaluation stages.  The theoretical stage provides evidence that substantiates the need for the study and outlines possible ways to address spatial elements in hedonic price modelling.  The empirical stage illustrates the application of GIS and spatial statistics in the estimation of hedonic models for housing markets in Glasgow, Scotland, using 2,715 house prices for 2002 and 61 independent variables.  GIS is used in this study to construct spatial variables including detailed accessibility measures, to help detect the hedonic problems of heteroscedasticity and spatial autocorrelation, and for visualisation.  Spatial statistics are used to test formally and model explicitly the spatial autocorrelation.  The evaluation stage assesses 46 hedonic models, using OLS and spatial hedonic, for <i>a priori </i>segmentations involving the spatial, structural and nested sub-markets.  It also draws general conclusions about the importance of detailed accessibility measures and spatial statistics in sub-market modelling. This study finds that the nested sub-market modelling using a spatial hedonic approach is most effective, followed by the spatial and structural sub-markets.  The OLS sub-market modelling generally reduces spatial autocorrelation but does not eliminate it.  There is a greater incidence of spatial autocorrelation when the market size, with measured by geographical area or density of dwellings is larger.  The spatial hedonic modelling improves the performance of the individual OLS models and the three segmentation approaches, although the relative performance of the latter remains unchanged.  Nevertheless, will the spatial hedonic, the entire market model outperforms the OLS model of structural sub-markets.  <i>Flat</i>-based OLS sub-market models benefit substantially from the spatial hedonic.  The results also suggest that an individual accessibility measure is more significant than the zonal measure because it is able to capture the micro effect of location on price.  Further, spatial statistics produce more accurate, robust and reliable estimates of implicit prices.

This study describes the delineation of appropriate sites for aquaculture using remote sensing, GPS and GIS. A 1996 composite Landsat TM image covering the south-western part of Bangladesh was used to identify water bodies, the extent of brackish water and associated land use features in the image. The Remote Sensing image was complemented by digitised secondary data from a range of sources, including hard copy maps to produce a GIS database which included environmental layers such as water bodies, rivers, soils, land use, temperature, rainfall, salinity and pH. The database also included infrastructural issues, such as roads, railways, processing plants, towns and cities. A series of GIS models were developed in order to identify and prioritise the most suitable areas for freshwater prawn, tilapia and carp and brackish water shrimp and crab farming. A range of scenarios for land allocations were used to develop a series of resource use models linked to likely production outcomes. Global warming and accelerated sea level rise is considered in the study area with different sea level rise scenarios of 50, 100, 150 and 200cm. The consequence of land losses and displacement of the population from the area in different situations is discussed. The economic characteristics of shrimp farming and alternative land uses in the Khulna region were also considered. Five land use options were studied based on economic output and job potential. Among these, brackish water shrimp and crab culture, moderately saline tolerant tilapia and prawn culture, fresh water carp culture and traditional rice production systems, and fresh water prawn culture performed best followed by brackish water shrimp and crab culture. This study showed the extent of potential for aquaculture in the Khulna region and further demonstrates the usefulness of GIS as an aquaculture-planning tool. Model programming was also found to be very useful tool to enabling regenerating of multiple scenarios very quickly. Overall, GIS modelling associated with remote sensing has great potential for informed decision-making in aquatic production systems and optimising management of natural resources in a region where they are already under considerable pressure. The implications for use of these systems in reducing land use conflict and sector planning for the region are discussed.

In order to store and process natural phenomena in Geographic Information Systems (GIS) it is necessary to model the real world to form computational representation. Since classical set theory is used in conventional GIS software systems to model uncertain real world, the natural variability in the environmental phenomena can not be modeled appropriately. Because, pervasive imprecision of the real world is unavoidably reduced to artificially precise spatial entities when the conventional crisp logic is used for modeling. An alternative approach is the fuzzy set theory, which provides a formal framework to represent and reason with uncertain information. In addition, linguistic variable concept in a fuzzy logic system is useful for communicating concepts and knowledge with human beings. In this thesis, a system to enhance commercial GIS software, namely ArcGIS, with fuzzy set theory is designed and implemented. The proposed system allows users to (a) incorporate human knowledge and experience in the form of linguistically defined variables into GIS-based spatial analyses, (b) handle impreiii cision in the decision-making processes, and (c) approximate complex ill-defined problems in decision-making processes and classification. The operation of the proposed system is presented through case studies, which demonstrate its application for classification and decision-making processes. This thesis shows how fuzzy logic approach may contribute to a better representation and reasoning with imprecise concepts, which are inherent characteristics of geographic data stored and processed in GIS.