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SPATIAL DECISION SUPPORT SYSTEM FOR HYDROLOGICAL STUDIES IN TABLE MOUNTAIN GROUP AQUIFERS, WESTERN CAPE PROVINCE, SOUTH AFRICA ANISHA LISA, B.Sc. HONS STUDENT NUMBER 14254980 Thesis presented in partial
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How to fill out a spatial decision support system:

01
Start by gathering all necessary data for the decision-making process. This may include spatial data such as maps, satellite imagery, and geospatial datasets, as well as non-spatial data like demographics, socioeconomic factors, and environmental variables.
02
Organize the collected data in a structured manner that aligns with the requirements of the spatial decision support system. This may involve creating spatial databases, data tables, and linking different datasets together.
03
Define the objectives and goals of the decision support system. This helps in determining the specific analysis and modeling techniques that will be applied.
04
Use the tools and functionalities provided by the spatial decision support system to analyze the collected data. This may involve spatial analysis, geostatistics, network analysis, and other specialized techniques depending on the objectives.
05
Interpret the results obtained from the analysis and present them in a meaningful way. This could be done through maps, charts, graphs, or other visualization techniques that facilitate understanding and communication of the findings.
06
Evaluate the results and assess the feasibility of different decision alternatives. This step involves considering the economic, environmental, and social implications of each alternative.
07
Make informed decisions based on the analysis and evaluation conducted within the spatial decision support system. This involves weighing the pros and cons of each alternative and selecting the most appropriate course of action.

Who needs a spatial decision support system:

01
Urban planners: Spatial decision support systems can help urban planners analyze and plan the development of cities, considering factors such as infrastructure, land use, and demographic trends.
02
Natural resource managers: Those responsible for managing natural resources can benefit from spatial decision support systems to evaluate the impact of various management strategies on the environment and make informed decisions.
03
Emergency management agencies: Spatial decision support systems can assist emergency management agencies in analyzing potential hazards, determining evacuation routes, and optimizing resource allocation during crisis situations.
04
Transportation planners: Spatial decision support systems can aid transportation planners in optimizing routes, analyzing traffic patterns, and evaluating the impact of proposed infrastructure projects.
05
Environmental scientists: Spatial decision support systems can support environmental scientists in assessing the impact of pollution, monitoring ecosystems, and identifying suitable locations for conservation efforts.
Overall, anyone involved in decision-making processes that require consideration of spatial data, analysis, and visualization can benefit from using a spatial decision support system.
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A spatial decision support system is a computer-based system that aids in decision-making by providing tools and resources for analyzing spatial data and generating insights.
Typically, organizations or individuals who deal with spatial data and make decisions based on it are required to use and file spatial decision support systems.
To fill out a spatial decision support system, one must input relevant spatial data, utilize the system's tools for analysis, and generate reports or insights based on the data.
The purpose of a spatial decision support system is to help users make informed decisions by providing tools for analyzing spatial data and generating insights or recommendations.
The information reported on a spatial decision support system may vary depending on the specific needs or requirements of the organization or individual using the system, but typically includes spatial data, analysis results, and decision-making processes.
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